Metro Phoenix residents shared images and videos of a flash of green light in the night sky on Tuesday. Here&#x27;s what we know about it.

What was the green flash of light in the night sky above metro Phoenix? Here's what we know

The suspect allegedly attacked both the mother and father of the child. A physical fight began between the suspect and the father until the two exited the home into the backyard.

Phoenix parents fight off intruder attacking their child in his bedroom

Buckeye Police say they have identified the man whose body was found at a landfill in the West Valley city.

Man whose body was found in Phoenix area landfill identified by Buckeye Police

The Phoenix Police Department accused 25-year-old Abdullahi Aroni of being a pedophilic burglar in a Tuesday announcement.

Pedophilic burglar fought mother and father, Phoenix police say

A 25-year-old man was arrested after breaking into a Phoenix family&#x27;s home, sexually assaulting a young child and attacking the parents, police say.

Man arrested after breaking into Phoenix home, assaulting child, attacking parents, police say

The artists will perform at the Footprint Center on Oct. 13, wit special guest Shygirl, as part of their 21-city tour.

Charli XCX, Troye Sivan bringing tour to Phoenix later this year

Detectives believe the child was assaulted before his mother confronted the suspect.

Young boy sexually assaulted, parents attacked during break-in at east Phoenix home

Five baby goats born at the Phoenix Zoo last month now have names after more than 3,300 people voted on each set of kids.

Phoenix Zoo baby goat names: Voters make their selections

Phoenix officials are sending a routine measure to the ballot that will allow the city to set its own annual spending limit rather than be bound by a cap in state law. In 1980, Arizona voters …

Phoenix voters will again be asked to let city set its own spending limit | Daily Independent

The Phoenix Police Department asked the public to help identify a suspect who stabbed a man to death in downtown Phoenix on Tuesday night.

Police looking for suspect who fatally stabbed man in downtown Phoenix

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Extending Power Virtual Agent with Power Automate and SharePoint You might have read my beginner-level step-by-step kick-starters and might have implemented Caller ID detection in your bot. This article is here to dig a little bit deeper and demonstrate how to use data to personalize the customer journey within the bot. to create your first (voice-) bot CRM Motivation With the integration capabilities of Power Automate, your can take the next step in your digital customer service journey. Using CRM data can be used to make automated voice bot conversations more personal and relevant to your customer. Power Virtual Agents-based (voice-) bots There is no need to annoy your customer and ask for details you already know. Automating repetitive processes frees human experts to take care of more complex tasks and customer interactions. Power Virtual Agents is not just another chatbot platform. It is part of a whole ecosystem with frontend, backend, and middleware layers to help you to do more with less and to speed up your digitalization journey. SharePoint List as a data source In this guide, I will use a simple SharePoint list as a data source for your bot's "CRM" Data. Other data sources can be used accordingly. Create a simple list with the following columns: title, name, surname, phonenumber, customernumber Power Automate flow to fetch customer data Next, we create a new Power Automate flow to fetch the calling customers' data from the list; we use the caller's phone number - we already extracted it from the channel data - as input for the flow. First, we define "phonenumber" as an input in Power Automate: Figure 3: Input variable Next, we initialize four variables as temporary storage for our CRM data. Next, the "get details from (SharePoint) list" action fetches the calling customers' data. The Filter Query is to select the data of the calling customer. We use the phone number as an index. phonenumber eq 'phonenumber'


 "value": [
      {
        "@odata.etag": "\"2\"",
        "ItemInternalId": "3",
        "ID": 3,
        "Title": "Mr",
        "name": "Holger",
        "surname": "Imbery",
        "phonenumber": "+49xxxxxxxxx",
        "customernumber": "4477",
        ....

}
] The array we get as an output of that step will be used to append the created variables via "Apply to each". Usage of CRM Data The data we acquired from our SharePoint list is stored in "bot." variables; therefore, the variable and its content are available globally. It can be used in every (new) topic. There is no need to ask for the following: name, surname title phone number customer number or all other information you find in your data sources. You can use speaker verification systems like to verify the user's identity. You will then have two factors, Caller ID and confirmed identity via voice. Nuance Gatekeeper or Phonexia Voice Verify Assets of all Power Automate connectors list of all Microsoft published connectors list SharePoint Connector Featured Image by on Unsplash Andrew Neel Also published here.

Leveraging CRM Data in Your Power Virtual Agent Voice Bot

Such things as missed tournaments disrupted training sessions and the constant threat of shelling are integral elements of the new reality for Ukrainian esports players. In an interview for UA.NEWS, the captain of the Ukrainian LeoGaming esports team in CS:GO Sergey "muR" Gres told about the ways that full-scale aggression of the Russian Federation affected the condition of the players and the success of the team. He also told many interesting things about the support of the international esports community, the replacement of Russian players, and the plans of the team for 2022. First of all, esports always positioned itself outside politics, but a new round of Russian aggression against Ukraine has changed everything. Already today, the organizers of international tournaments are suspending Russian teams and terminating all cooperation agreements with the entities from the Russian Federation. How did LeoGaming survive the beginning of a full-scale war? How did it affect the psychological state of the players and the success of the team? "First of all, every Ukrainian member of our team experienced a lot of psychological issues at the beginning of the war. Since February 24, our team members have not played the game for about a month. They had a lot of other things to do. Every person was busy with their own tasks and issues while trying to figure out what would happen tomorrow. Do not forget that when you just watch the news with all those scary videos of missile strikes, you are already frightened and scared. You open the news feed in just three days to read about missile attacks in Obolon'. And you can only think about what will happen next. Therefore, it was difficult to focus on anything, there was some kind of confusion. Sergey Gres, We have received enormous support from our foreign colleagues. Amir [ ] from Russia, supported us. He also condemned Russian aggression. Fenny from Estonia [ ] shares the very same opinion.” Amir Abdulmejidov, ex-member of the LeoGaming team Adrian Korolev from LeoGaming How did the international esports community perceive the war in Ukraine? "The entire world condemned the actions of the Russian Federation. I would like to express my utmost respect to our Polish brothers. They always post a lot of information about the situation in Ukraine, support us, raise funds for Ukrainian refugees, organize housing, and help with meals. Sergey Gres, There were many examples of dedicated support in the esports community. For example, the Kinguin organization from Poland has placed Iska [ ] on its esports base in Poland. He is a Ukrainian player who previously played for the British team Into the Breach. They provided him with a computer, housing, and a place to play. I want to thank the people of Poland for such hospitality and help in challenging times.” Yaroslav Isakov from Ukraine Intense shelling, frequent air alerts, as well as power and communication outages take place in many cities of the country. How did such an unstable situation affect the technical side of the team? What has changed in the training and preparation of the team for the competition? , "It has become more difficult to organize training sessions. Many players suffer from the lack of power or Internet. Whenever it happens, it means that the Russians have damaged something again. We just lose one day of training because of the shelling. It happens because they cannot be patient and solve everything in a humane way.” Sergey Gres Did LeoGaming have to refuse to participate in any tournaments? , "Before the outbreak of a full-scale war, we played in the ESEA League Advanced, but due to the hostilities, we were unable to complete this tournament. We also had no chance to show our real level in the Phonex League competitions. We were not really able to play, so we barely managed to take the second place. No doubt, our team could have refused to join this tournament, but we decided not to lose this opportunity at the very first stage. Sergey Gres LeoGaming also missed many different qualifiers, including Major qualifiers because of the war. But we still have another six months to train and prepare for the next tournaments.” joined In March, the LeoGaming team decided to update its roster and eliminated all Russian players. Mikhail "Malkiss" Shulga and Igor "fobeN" Dotsenko the team while replacing Amir "eightz999" Abdulmedzhidov and Alexey "Maha" Makhinich. How did such substitutions affect the team? How is the adaptation of inexperienced players going? , "We have known Misha and Igor for an exceptionally long time. It was not so difficult for us to play, because we often played together at different Ukrainian tournaments before. We played together at the Ukrainian Championship and reached the finals with them. Therefore, the adaptation is going well, the atmosphere is combative, and we are ready to show what Ukraine is capable of.” Sergey Gres How did the substitution affect the style of play and tactics of the team? "Misha Malkiss is a sniper in our team. This is always a significant role in the global component of the game. We have to change several moments for him so that he is comfortable. Igor "fobeN" was playing as an entry, so, we decided to save his role in LeoGaming.” Sergey Gres, second place beating LeoGaming has already had a number of successful performances with the new line-up, taking in the European Phoenix League tournament and the Polish HONORIS team in the new ESEA League season. Even though, this team has such strong Counter-Strike legends as Neo and Taz. Does this indicate that the team has already managed to find a proper way to play together? , "I won't be too optimistic and say that we have already found it because there are quite a few points that should be corrected. Sergey Gres Talking about the victory over HONORIS. Such legends of the CS as Neo and Taz are convenient rivals for us. I would say that they are playing a slightly outdated version of Counter-Strike. Two matches were enough for me to understand how they play, prepare for the confrontation, and draft a game plan. Even though the HONORIS team is a simple opponent in terms of the game, they have experienced players who make decisions in given situations much better than we do. However, we are the winners in the end.” The LeoGaming team finished the 40th season in the ESEA League (Advanced) tournament in the 80th position. What do you expect from the 41st season of the ESEA League? , "Keeping in mind that we have two inexperienced players (40% of the team has changed), we need to build a completely new structure of the game, and an understanding of how things should happen. Our newcomers have to understand the logic of the captain, and the captain has to understand the logic of the players. We have to come to a consensus within the game. Sergey Gres At the moment we are focused on the quality of our game, and not on a specific place in a particular tournament. Of course, we want to improve our results. In addition, we plan to hold within the season, gain experience against strong teams, correct mistakes for this season and demonstrate fully prepared material on six maps next year.” What other tournaments does LeoGaming plan to participate in this year? , "Keeping in mind that we don't have enough time to get used to the maps, and to learn different positions in such a brief period of time, we simply can't talk about reaching the playoffs of the ESEA League, not to mention reaching the top league.” Sergey Gres

How the War Initiated by the Russian Federation Against Ukraine Impacted Esports

Cómo afectó a los deportes electrónicos la guerra iniciada por la Federación Rusa contra Ucrania

Comment la guerre déclenchée par la Fédération de Russie contre l'Ukraine a eu un impact sur l'esport

यूक्रेन के खिलाफ रूसी संघ द्वारा शुरू किए गए युद्ध ने एस्पोर्ट्स को कैसे प्रभावित किया

ウクライナに対するロシア連邦によって開始された戦争がeスポーツにどのように影響したか

Como a guerra iniciada pela Federação Russa contra a Ucrânia afetou os esportes eletrônicos

Cuộc chiến do Liên bang Nga khởi xướng chống lại Ukraine đã ảnh hưởng đến thể thao điện tử như thế nào

俄罗斯联邦对乌克兰发动的战争如何影响电子竞技

In this article, we'll discuss the most common Android cross-platform frameworks, as well as their design and development features. As businesses scramble to join the mobile revolution, mobile application development is evolving and improving, dynamic, and user-friendly. Providers of application frameworks have raised their efforts to satisfy demand, offering superior technology for app development. What is an Application Framework? An Android application framework is a software toolkit that connects combined app developers to create a product that satisfies the requirements of the owner. A framework provides the foundation for a program, which is then built-in with visuals, movement, special features, and functionality. Application frameworks are designed to make the app development process easier to manage, adapt, and issue in the future.The application framework you use should be adapted to the needs of your software. The Features of a Successful Android App Development Framework A successful Android app development approach combines ease of use and versatility in one package. It'll be successful if it can provide visual environments that lessen the time it takes to create an attractive user experience. It will also work on a smart device and it will enable different target devices without affecting the quality of the output. Outstanding speed, cross-device compatibility, and efficient similarity management are the attributes that the ordinary consumer needs. Top Android App Development Framework Leading Platforms: ● Flutter ● Ionic ● React Native ● Apache Cordova ● Xamarin Flutter Flutter is an open-source program with world-class technical power. When combined with cross-platform projects, the code can be compiled to both Android and iOS apps. As a relatively new option, apps created in Flutter offer quick development times—it is flexible, comes with native rendering capabilities, is completely free, and provides fast performance on Android. Ionic Ionic is an MIT-certified, free, and open-source app development framework that uses a hybrid of HTML5 + CSS3 + JavaScript to create cross-platform apps. Ionic features efficient Web applications and is quicker to develop, making it a powerful and reliable application framework. It has a lot of cross-platform functionality and a lot of software technologies that allow developing Android apps a lot easier. React Native React Native is one of the most important frameworks for Android app development, as it enables you to use fewer resources and it offers very good performance. It also does not require using Java or use any third-party libraries, including Objective-C. Apache Cordova Apache Cordova or PhoneGap is a mobile app development framework maintained by Apache. It delivers a way to create apps using HTML, CSS, and JavaScript with various plugins available from the Cordova repository. Xamarin Xamarin is a commercial large-scale software development methodology that requires the purchase of a Microsoft Visual Studio IDE license, which costs a lot of money. It’s compatible with most major IDEs which allows for more productivity in their apps. A simple code sharing transformation technology means company developers can share code features with cross-platform developers within their teams without having to reformat them. This saves development time which can be passed on down the line to clients. Conclusion So those were the best Android frameworks. Frameworks for mobile application development are essential tools to create any mobile or web application. It's important to remember that each project or app has its own set of requirements, so selecting a framework should be done carefully. The development platform is supposed to make or destroy your mobile app development experience, so take your time and do some research before deciding on the best Android frameworks. If you need any assistance during the making of a framework for android app development you can contact with us

The Top Five Frameworks For Developing Android Apps

This story is a part of Hacker Noon's series of interviews. The series is intended for tech professionals contributing the most insightful Hacker Noon stories to share more about their writing habits, ideas, and professional background (and maybe a hobby or two). If you too would like to start contributing to Hacker Noon, . Meet the Writer you can do so here So let’s start! Tell us a bit about yourself. For example, name, profession, and personal interests. 38 year old male, full name Richard James Downing III. I’ve been an entrepreneur for fifteen years - started six companies. Most of those were “failures” that taught me tremendously. Got going in tech in 2010 with a mobile payment company called PhoneTab, which failed quite gloriously after two years of striving. Everything that could have gone wrong with a startup, seemed to go wrong with PhoneTab. PhoneTab taught me one hundred lessons, and one thing above all: The significance of transaction fees, which are a major key to liberating commerce from the banks and credit card companies, who defend their market positions jealously. Free transactions for increasingly complex “contracts” are now part of our future - closer every day with blockchain tech like - and we’re lucky to live at this time of digital transformation. But yah, that was the first and most painful failure. I was convinced we’d be billionaires and the plane just crashed into the mountain. Long story, maybe for another post. Telos After PhoneTab closed down in 2012 I was pretty jaded about tech world. I worked briefly with a consulting team helping Verizon launch their enterprise cloud, but was still depressed about PhoneTab and needed distance from the Boston tech scene, so I decided to do something to keep myself healthy and happy above all. Some college friends and I got together and started a retail group fitness company that grew to five locations in four years - a group cycle and TRX business in Boston, called , where I was CEO and Master Instructor. Sold my shares in Turnstyle in 2017 and discovered bitcoin around the same time, as well as ayahuasca - five ceremonies over two weeks in the Amazon in October 2017. Especially with Bitcoin skyrocketing into Jan 2018, I can’t stress what a trippy and healing year that was, and while it left me somewhat decoupled from ground reality, it also left me with enough hope to return to technology. Turnstyle Cycle While exiting Turnstyle, I had designed, built (with a dev team) and launched a scheduling app for instructors, called Subwhisper, which was tested at Turnstyle and another larger gym. I started traveling to pass the time between development sprints, but then, as crypto Winter set in, I couldn’t afford to pay Subwhisper’s lithuanian development team, and eventually we had to stop development. Anyway, crypto had my attention. The driving purpose behind my interest in psychedelic experiences has been to heal a debilitating chronic inflammatory condition - ankylosing spondylitis - that started when I was 25. I do believe most autoimmune diseases can be largely cured with an alignment of body and mind. My mind was certainly misaligned, and psychedlics have been crucial tools on my journey to this point, where I’m doing well off meds (so far). Fingers crossed. My travels started with six months with a Remote Year trip - group name “Exupery” - through Europe and Southeast Asia, until splitting off in Thailand for four months to cruise the crypto communities in Chiang Mai, Bankok, and the island of Koh Phangan. I returned stateside briefly, working as a VP at a software services firm with operations in Medellin, Colombia, called Ballast Lane Applications. My crypto interests persisted, so I left to explore the crypto scene in Puerto Rico, where I lived for six months, before heading to Virginia to do Ayahuasca again, which led to three months in a conscious community in Washington DC, where I did healing ceremonies involving mushrooms and smoked frog venom (set and setting is everything). Next was Peru for four months, then Florida for two months, and recently El Salvador for three months after Nayib Bukele made Bitcoin the country’s official currency. I now find myself married in Maryland, and quite settled and happy indeed. I’m super excited to have discovered the Telos blockchain community, and thrilled to be helping to grow the Telos Ecosystem. Before all of that, my professional foundation (how I “learned to learn”) was in management consulting, for a company called CSP Associates(.com). CSP is a very small shop that advises all the top contractors in aerospace and defense - I mean of them - and they’ve totally dominated that space since the 90s. For decades they were like an isolated secret extension of The Carlyle Group, providing advisory services for all of Carlyle’s M&A activity in the aerospace & defense sector. I used to kid that my bosses planned 9/11, which of course sounds ridiculous, and can’t be proven, umm, and is certainly not a productive road to go down regardless. Nervous giggle. So I guess seeing the defense industry up close sort of woke me up early… given recent events. all I worked at CSP for two Summers during college - Colby College - and two years after, before earning an MBA from the Darden School of Management at the University of Virginia. Darden is (or has been) ranked #1 in the U.S. in a few key areas, including (1) program difficulty, (2) quality of learning experience, and (3) ethics, and if you look at graduates from Darden versus other programs… I’d say it shows (especially with respect to ethics). I don’t mean to be immodest but it’s important to me - what motivates me professionally - because today, humanity is basically being led (and destroyed) by smooth-talking psychopaths, a large portion of whom have been to top MBA programs. I’m talking about Fortune 50s, where there’s abuse - conscious causing of widespread harm - almost across the board. Darden alum are by no means unsullied, but we’ve definitely been exposed to the right ideas, including a constant suspicion of ego, seeking feedback, and honest assessments of the net impact of our personal and corporate activities. The righteous path is generally the harder one, often the less profitable one, but I do believe the sacrifice pays off eventually, invariably. I also believe that we as a society are embarking on a new era in which makers and creators will see greater fruits for the labor than ever before, enabled largely by cheap transactions. So much is possible. But I digress… Interesting! What was your latest Hackernoon Top story about? - current project. Before that was . Telos FORCE Protocol Telos Build Do you usually write on similar topics? If not, what do you usually write about? I like writing about decentralized governance, business strategy, systems theory, cosmic science, spirituality, all things inter-dimensional/quantum whatever, and of course psychedelics/healing. I write to make statements about what I believe and what I do, generally - discoveries. The topics I most enjoy don’t really pay, so that’s been a recent challenge. Great! What is your usual writing routine like (if you have one?) No I do not have a routine. I do get up early and sometimes I write at that time. I like writing, and I write a lot, but there is no real routine. I sort of just stew until something pops. Maybe there should be a routine. I’m starting to give myself credit for writing in my mind during the excruciating periods that precede spurts of writing - periods during which I’d say I form my best ideas - because most people call that “procrastination”, which I view as crude and unfair. I’m also much more insecure than I thought I was when it comes to exposing my writing - sometimes I’ll toil and spin for days before posting something publicly - so that takes time and energy as well, but less as time goes by. Being a writer in tech can be a challenge. It’s not often our main role, but an addition to another one. What is the biggest challenge you have when it comes to writing? Routine, certainly. And capturing ideas when I don’t have a pen/paper or my phone with me. What is the next thing you hope to achieve in your career? Next thing is Telos FORCE Protocol success. Wow, that’s admirable. Now, something more casual: What is your guilty pleasure of choice? Love weed. And chocolate. Doing a three day fast on Wednesday, so, that’ll suck. Do you have a non-tech-related hobby? If yes, what is it? I really like dancing, but don’t do it in any formal capacity. Doesn’t need to be formalized. But let me tell you something: I’ve got a special kind of rhythm. What can the Hacker Noon community expect to read from you next? Probably updates on Telos FORCE Protocol. Righteous rants? Never know. Watch out! Thanks for taking time to join our “Meet the writer” series. It was a pleasure. Do you have any closing words? The pain we carry is the love we withhold.

Meet the Writer: Hacker Noon's Contributor Richard Downing, Blockchain DeFi CEO

Hybrid mobile app development frameworks allow developers to build mobile apps using standard web technologies, including HTML, CSS, and JavaScript. This process is sometimes referred to as cross-platform development or writing once run anywhere. Because of their simple interface and similar features across multiple operating systems, hybrid mobile app development frameworks became widely popular quickly. - ‘New frameworks are like climbing a mountain - the larger view encompasses rather than rejects, the more restricted view.’ While the words are not dedicatedly focused on the technology but resonate with the literal meaning of the term framework. Albert Einstein once said With tons of frameworks available, it becomes challenging to analyze which ones are the real winners in the IT world. However, with the right research, you can easily find the top hybrid app frameworks available out there. The infographic below offers insights into what the programmers & developers- the dictators of the programming world consider as the top hybrid app frameworks. Source- Statista This article has tried to provide the best list of hybrid mobile application development frameworks with their pros and cons. The list includes: Flutter- Holds a Market Share of 42% React Native- Lets you Reuse Code up to 90% Cordova- Ensures Faster Development with Simplified Coding Practices Ionic- Experience Quicker Prototyping of the App Xamarin- Provides Low & Affordable Maintenance Unity- Eases Development of Immersive Animations Native Script- Offers Native Look & Feel to the Developed App Let’s explore them in detail: 1. Flutter- Holds a Market Share of 42% Google has developed Flutter, a platform designed to help developers create user interfaces that run on Android and iOS devices. The new cross-platform toolkit is currently in beta and allows developers to share of their code across two platforms. up to 90 percent Combined with its short learning curve, that could make it a popular development framework over the coming years. According to Google’s test results, native applications created using Flutter boast an impressive 60fps with rich animations when tested on both iOS and Android platforms. Given Google’s investment in Flutter and its push toward open-source software, it would not be surprising if the trend caught on among other app creators as well. Pros of using Flutter Development Framework Growing Popularity High Performance Mild Learning Curve Facilitates Fantastic UI designs Saves Money and Time Powerful Community support Cons of using Flutter Development Framework The number of tools available with Flutter is limited. The iOs support needs improvement. 2. React Native- Let's you Reuse Code up to 90% React Native has been gaining popularity, especially among hybrid app developers. The framework allows you to build iOS, Android, and web apps with a single codebase, making it easier than ever to share elements across platforms. Look no further if you’re looking to develop cross-platform mobile apps with a great user experience. Performance is one of React Native’s most vital points. It renders at 60fps by default and can reach up to 120fps. With native APIs and a JavaScript-based interface, developers can write code similar to its original form in Swift or Java. In addition, all of your project’s code gets stored in a single file. Hence, it’s easier to collaborate with other developers who might not be familiar with Objective-C or Java. However, you won’t access any native features on Android devices such as push notifications and Google Maps services unless you shell out some cash. Pros of using React Native Development Framework Faster to Build Advanced Framework Multiple Platforms Smaller Teams Fast Applications Simplified UI Cons of using React Native Development Framework Requires a longer time in debugging the app. The framework still needs improvement in the number of libraries. 3. Cordova- Ensures Faster Development with Simplified Coding Practices Apps built with Cordova (formerly PhoneGap) run natively and do not require a browser. Developers can use HTML, CSS, and JavaScript to create mobile apps that take advantage of features such as accelerometer access and camera access. The downside is that developers are limited by what is possible with web technologies compared to native development, giving you more device-specific features. However, Cordova is much more manageable, including one-click deployment through various app stores. Notably, Cordova is an excellent choice for building Android mobile apps as well. You can always hire an android app development company in india for building mobile apps via Cordova. Also, if you want to work on multiple mobile platforms at once using a single codebase, Cordova is a proven good option. Pros of using Cordova Development Framework Ideal for creating Android apps Provides tons of plugins It offers multiple options for tabs, toggle buttons, reorderable lists, etc. Familiar command-line syntax. It comes with native-like widgets Faster development cycles Cons of using Cordova Development Framework The developed app suffers from speed performance Fails to offer native UX to the users. 4. Ionic- Experience Quicker Prototyping of the App Ionic is a renowned open-source mobile development framework that uses HTML5 and CSS3 to create cross-platform apps. Because Ionic allows you to use standard web technologies, they have a massive community of open source developers with access to many plugins and building blocks. It makes developing much easier since there’s no need to reinvent something from scratch or scour for solutions. However, your resulting apps will feel more like mobile web apps than native because some features and functions aren’t available yet on all platforms (but are on others). That said, using Cordova or React Native as a bridge can provide cross-platform capabilities to bring these features into your app. Pros of using Ionic Development Framework Quick Development Faster Time To Market Multi-browser support A Plethora of UI Components Developer-friendly Cons of using Ionic Development Framework Not suitable for apps with heavy graphics. Unfriendly live-reloading feature. 5. Xamarin- Provides Low & Affordable Maintenance Xamarin is undoubtedly one of the best frameworks to be used by mobile app developers. The UI design that it provides will give a seamless feeling to your users. With the help of highly efficient plugins, developers can drastically reduce your development time. This framework is preferred by those mobile app developers who like to work in 3D environments and graphics rather than 2D ones. C# script, JSX, and WebGL make it very attractive among its users. It also allows you to create app prototypes quickly and easily. Pros of using Xamarin Development Framework Write Once, Use Everywhere Support and full technical backing by Microsoft The flexibility of C# Simplified maintenance Provides a lot of components Developer-friendly Cons of using Xamarin Development Framework Not ideal for implementing complex UIs. It creates heavy applications. 6. Unity- Eases Development of Immersive Animations If your app is complex, then use Unity. It has a robust ecosystem of different add-ons and plugins available to developers, as well as a vast store to get what you need. From the user interface to AR/VR development. If you build a high-quality game or something like that, go with Unity. Then hire app developers with over five years of experience using Unity and having completed 15+ games in different genres like action-adventure, fighting, arcade, etc. without any complications. Pros of using Unity Development Framework Build once, deploy whenever and wherever Flexible deployment Advanced graphics Ideal for rendering 2D and 3D scenes Amazing built-in analytics Cons of using Unity Development Framework Out-dated documentation Complex interface 7. Native Script- Offers Native Look & Feel to the Developed App NativeScript is an open-source framework for creating native mobile apps with JavaScript and CSS. Developers can create Android, iOS, and Windows apps using nothing but these three popular programming languages. The CLI offers a rapid start to developing applications. It includes various built-in plugins which allow you to access the native APIs of each platform. If you already have experience with JavaScript, CSS, or any other front-end language, NativeScript should be one of your first considerations when building mobile apps. Being fully featured and cross-platform without any restrictions, NativeScript provides tons of flexibility in development while still being easy enough to get started with even if you are new to app development (as long as you have some knowledge of JS). Pros of using Native Script Development Framework Lightweight framework Utilizes object-oriented language Leverages Visual Studio Code Accesses native components Good community support Cons of using Native Script Development Framework It lacks a high number of plugins. The DOM support needs improvement. Final Words These top 7 hybrid mobile app development frameworks will be compelling and dominant in five years. It is tough to choose between Flutter, React Native, Cordova, Ionic, Xamarin, and Unity for native app development. What’s your opinion about hybrid mobile app development frameworks? We recommend you analyze all of them and choose one based on your requirements. Alternatively, you can also connect with an for more valuable insights. offshore hybrid mobile app development team

7 Best Hybrid Mobile App Development Frameworks for 2022

Artificial Intelligence is currently one of the most sought-after technologies, and so is NLP, a subset of AI. Recent years have been marked by tremendous research and development in AI. NLP is an important technology, and we use it every day. This article will give us some perspective on this emerging technology. We will look at its history and some of its typical applications. How and where can we learn NLP to create various real-life projects. We also briefly look at Python, arguably the most favorable programming language for NLP and some of its essential NLP libraries. Along the way, some learning resources have also been recommended. What is NLP? First things first: what exactly is NLP? We all know that computers can only understand 0s and 1s, but we humans communicate in various languages, thousands of languages. , to be exact. This creates a deadlock in our interaction with the computers. The traditional solution to this deadlock was a methodical interaction with computers by clicking on various options to perform the desired task. But nowadays, we can achieve this by talking to our computers through Cortana or Siri in our own language, and they can serve our tasks and even talk back to us in the same language. The underlying technology that makes this happen is Natural Language Processing or the NLP. 7139 NLP is an emerging interdisciplinary field of linguistics, computer science and artificial intelligence that makes computers understand and generate human language. This is done by feeding a large amount of data or corpus in case of language data to the computer, which analyses them to understand and generate meanings. History of NLP Although NLP has become very popular in recent years, its history goes back to the 1950s. The genesis of all the AI technologies lies with the computer scientist Alan M. Turing and his seminal paper titled .” The central question of his article was ‘ ’. In the report, Mr Turing proposed a benchmark to test the intelligence of computers in comparison to humans. He called it the Imitation Game, which later became known as the . Among other criteria was the machine’s ability to ‘understand and speak’ natural languages. The of 1954 was another development early in machine translation. The experiment demonstrated a fully automatic translation from Russian to English. The field of NLP, along with AI, has undergone continuous development since then. The growth in the field of NLP can be divided into three categories based on the underlying method or approach for solving NLP problems described in the next section. “ Computing Machinery and Intelligence (1950) Can machines think? Turing Test Georgetown experiment NLP Methods Rule based NLP (1950s — 1990s) The earliest methodologies used to achieve natural language processing by computers was based on a pre-defined set of rules, also called Symbolic NLP. A collection of hand-coded rules was fed into the computer, and it yielded results based on that. The early research in NLP was focused primarily on machine translation. Rule-based machine translation (RBMT) required a thorough linguistic description of the source and the target languages. The basic approach involved two steps: 1) finding a structural equivalent of the source sentence and the output using a parser and an analyzer for the source language and a generator for the target language, and 2) using a bilingual dictionary for a word-to-word translation to finally produce the output sentence. Given that a human language is pervasive and ambiguous, infinitely many such rules are possible. Obviously, hand-coding such a large number of rules is not possible. Thus, these systems were very narrow and could only produce results in some given scenarios. For example, the much-celebrated Georgetown experiment could only translate some 60 plus sentences from Russian to English. Statistical NLP (1990s — 2010s) With the advent of more powerful computers with higher processing speed, it was now possible to process a large amount of data. Statistical NLP took advantage of this, and new algorithms based on machine learning came into being. These algorithms are based on statistical models which make a soft, probabilistic decision to yield output(s). Instead of hard-coding rules as in Rule-based NLP, these systems automatically learn such rules by analyzing large amounts of data fed through real-world parallel corpora. In the case of Statistical NLP, the system does not generate one final output. Instead, it outputs several possible answers with relative probability. The drawback, however, was that its algorithms were challenging to build. It required a complex pipeline of separate sub-tasks like tokenization, parts-of-speech tagging, word sense disambiguation, and many more to finally produce the output. Neural NLP (2010s — present) As deep learning became popular during the 2010s, the same was applied to the NLP. Deep neural network-style machine learning methods became widespread in NLP too. This approach, too, uses statistical models to predict the likelihood of an output. However, unlike Statistical NLP, it incorporates the entire sentence in a single integrated model wiping out the need to build that complex pipeline of intermediate subtasks as in statistical models. In this approach, the system uses an artificial neural network. The artificial neural network system, in theory, tries to mimic the neural network of the human brain. An artificial neural network consists of three layers: input, hidden, and output. The input layer receives the input and sends them to the hidden layer, where all the computations are performed on the data. The output is then transferred to the output layer. The connection between the neurons is called weight. The initial value of weights is set randomly, which changes during artificial neural network learning. These weights are crucial in determining the probability of an output. Common NLP Tasks Here is a non-exhaustive list of some of the most common tasks in natural language processing. Note that some of these tasks may not be an end in themselves but serve as subtasks in solving other tasks which have real-world applications. — separate a continuous text into words Tokenisation — determine the parts of speech of each word in a sentence Parts-of-speech tagging — filter out high-frequency words like to, at, the, for, etc Stopword removal — remove inflections (prefix and suffix) (e.g., driving → driv) Stemming — remove inflections and return base form of the word (e.g., driving → drive) Lemmatization — determine which word refers to which words in a sentence/text Coreference resolution — determine and visualize the parse tree of a sentence Parsing — select contextual meaning of a polysemic word Word sense disambiguation — determine the proper nouns in a sentence/text Named entity recognition — identify relationships among named entities Relationship extraction — determine the text printed in an image Optical character recognition (OCR) — convert speech into text Speech Recognition — separate a speech into words Speech Segmentation — convert text to speech Text-to-speech — produce a summary of a larger text Automatic summarisation — detect and correct grammatical errors in a text Grammatical error correction — automatically translate a text from one language to another Machine translation — convert text into machine-readable code Natural language understanding (NLU) — make machine produce natural language Natural language generation (NLG) Python for NLP Python is a preferred programming language for NLP. As of February 2022, it is the programming language. Python’s ubiquitous nature and its application to a wide array of fields make it so popular. most popular While programming languages like Java and R are also used for NLP, Python is a clear winner. Python is easy to learn and understand because of its transparent and straightforward syntax. Python offers perhaps the largest community of developers, which can be really helpful in case the code needs some debugging. In addition, Python seamlessly integrates with other programming languages and tools. Most importantly, Python is backed by an extensive collection of libraries that enables developers to quickly solve NLP tasks. Resources : Start with this five-part specialization program on Coursera. It will provide a complete overview of Python programming. Python for Everybody : Read this free to read online book by Al Sweigart for step-by-step instructions and guided projects. Automate Boring Stuff with Python the official Python tutorial and documentation : Python tutorial NLTK NLTK — the Natural Language Toolkit — is a suite of open-source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. is the most popular library for NLP. It has a massive active community with over 10.4k stars and 2.5k forks on its . It was developed at the University of Pennsylvania by Steven Bird and Edward Loper and was released in 2001. NLTK is freely available for Windows, Mac OS X, and Linux. It has built-in support for more than 100 corpora and trained models. NLTK comes with a free written by its creators, a comprehensive guide for writing Python programs, and working with NLTK. They also have an active on google groups. Natural Language Toolkit or NLTK GitHub repository ebook discussion forum Resources: : Watch this introductory video on freeCodeCamp’s YouTube channel for getting started Natural Language Processing (NLP) Tutorial with Python & NLTK : Read the official NLTK book written by its creators for a deeper understanding of NLP and NLTK Natural Language Processing with Python spaCy Industrial-strength Natural Language Processing (NLP) in Python. is relatively young but very hot right now. Its has more than 22.4k stars and 3.7k forks, much higher than NLTK. It was written in Python and Cython, making it fast and efficient at handling large corpus. It is an industry-ready library and was designed for production usage. spaCy GitHub repository Some features of spaCy are: It provides support for linguistically-motivated tokenization in more than 60 languages. It has 64 pre-trained pipelines in 19 different languages. It provides pretrained transformers like BERT. It provides functionalities for named entity recognition, part-of-speech-tagging, dependency parsing, sentence segmentation, text classification, lemmatization, morphological analysis, entity linking and more. Resources: : freeCodeCamp’s video tutorial for getting started Natural Language Processing with spaCy & Python — Course for Beginners : The most essential concepts, explained in simple terms spaCy 101 CoreNLP A Java suite of core NLP tools. was initially written in Java and was developed at Stanford University. But it is equipped with wrappers for other languages like Python, R, JavaScript, etc. Thus, it is a library that can be used with most programming languages. It is a one-stop-shop destination for all the core NLP functionalities like linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentiment, quote attributions, and relations. CoreNLP currently supports 8 languages: Arabic, Chinese, English, French, German, Hungarian, Italian and Spanish. It has 8.3k stars and 2.6k forks on its . CoreNLP GitHub repository Resources: : Official CoreNLP documentation and pipelines Documentation TextBlob Simplified Text Processing is a Python library for processing textual data. It provides a simple API for the most common NLP tasks like POS tagging, tokenization, n-grams, etc. It is beginner-friendly and the fastest among other libraries. and is made on top of and . It has 8k stars and 1.1k forks on its at the time of writing this article. TextBlob NLTK pattern GitHub repository Resources: : Official TextBlob documentation and quick start guide Documentation Gensim topic modelling, document indexing similarity retrieval Gensim is a Python library for and with large corpora. was created by Radim Řehůřek in 2009. It is implemented in Python and Cython, making it incredibly fast. Plus, all its algorithms are memory-independent, i.e. they can process inputs larger than RAM size. It is mainly used to identify semantic similarities between two documents through vector space and topic modeling. It supports algorithms like Latent Semantic Analysis (LSA/LSI/SVD), Latent Dirichlet Allocation (LDA), Random Projections (RP), Hierarchical Dirichlet Process (HDP) or word2vec deep learning. It works on vast data collections from specific categories and provides clear insight. Gensim’s has 12.9k stars and 4.2k forks. Gensim GitHub repository Resources: : Official documentation and tutorials. Documentation Conclusion Natural language processing is a sub-field of Artificial Intelligence under active research and development. We can see its practical applications all around us. From automatic captioning in YouTube videos to Chrome automatically translation webpages in foreign languages for us, assistive writing with Grammarly, our iPhone’s keyboard predicting keywords for un and so on. The possibilities are limitless. Natural language processing is indispensable for artificial intelligence and for our future technologies. References Bird, Steven, et al. . 1st ed, O’Reilly, 2009. Natural Language Processing with Python Budditha Hettige. . 2011. , . A COMPUTATIONAL GRAMMAR OF SINHALA FOR ENGLISH-SINHALA MACHINE TRANSLATION DOI.org (Datacite) https://doi.org/10.13140/RG.2.1.2330.6968 Heller, Michael. ‘Study Claims Siri and Google Assistant Are Equal’. , . Accessed 8 Feb. 2022. Phone Arena https://www.phonearena.com/news/Study-claims-Siri-and-Google-Assistant-are-equal_id115667 Singla, Karan. . 2015. , . Methods for Leveraging Lexical Information in SMT DOI.org (Datacite) https://doi.org/10.13140/RG.2.1.2138.7367 Turing, A. M. ‘I. — COMPUTING MACHINERY AND INTELLIGENCE’. , vol. LIX, no. 236, Oct. 1950, pp. 433–60. , . Mind DOI.org (Crossref) https://doi.org/10.1093/mind/LIX.236.433

Natural Language Processing with Python: A Detailed Overview

SMS is a powerful way to connect with your users. Businesses all over the world use SMS texts to send appointment reminders, shipping notifications, customer satisfaction surveys, and more. For countries or customers with slower internet speeds, SMS can even function as a viable alternative to something like an in-app chat feature. In this article, we’ll demonstrate the power of SMS and showcase just how easy it is to get started. Together we’ll build a “Fun Fact of the Day” web app that allows users to enter their phone number to receive an SMS text with a fun fact. We’ll provide this functionality using the SMS API from , a cloud communications platform. Infobip Let’s get started! Demo App Overview Our demo app is built with Node.js and Express on the backend and simple HTML, CSS, and JavaScript on the frontend. Users can enter their phone number into this minimal interface and then click the submit button to receive a text triggered by the . Infobip API Simple as that! Let’s walk through how we built this. We’ll include a few code snippets throughout the rest of this article, but feel free to for the full example code. check out the GitHub repo Creating the Signup Form Let’s start with the frontend code for the signup form. The form is constructed with your typical HTML form elements: , , , and : <form> <label> <input> <button> <main>
  <h1>Fun Facts SMS</h1>
  <p>
    Enter your phone number (including country code) to receive an SMS text.
  </p>
  <form id="phoneNumberForm">
    <label for="phone" class="sr-only">
      Phone Number (with country code)
    </label>
    <input
      type="text"
      name="phone"
      id="phone"
      placeholder="1 555 777 9999"
      autocomplete="off"
    />
    <button type="submit">Submit</button>
  </form>
  <div id="result" class="hidden"></div>
</main> When the user enters their phone number and submits the form, the JavaScript initiates an API request to an endpoint on our Node.js server: (function () {
  const resultContainer = document.querySelector('#result');

  const submitPhoneNumberForm = (e) => {
    e.preventDefault();

    const phoneNumber = e.target.phone.value.replace(/\D/g, '');

    if (!phoneNumber) {
      return;
    }

    fetch(`api/send-sms/${phoneNumber}`)
      .then((response) => response.json())
      .then(() => {
        resultContainer.textContent = `Success! Sent text message to: ${phoneNumber}`;
        resultContainer.classList.remove('hidden');
      })
      .catch(() => {
        resultContainer.textContent = `Error. Unable to send text message to: ${phoneNumber}`;
        resultContainer.classList.remove('hidden');
      });
  };

  const phoneNumberForm = document.querySelector('#phoneNumberForm');
  phoneNumberForm.addEventListener('submit', submitPhoneNumberForm);
})(); Using the Infobip SMS API Heading over to our backend code now, our Express router receives the request from the frontend and initiates an API request of its own, this time to the Infobip SMS API: const fetch = require('node-fetch');
const express = require('express');
const router = express.Router();
const funFacts = require('../fun-facts.json');

router.get('/send-sms/:phoneNumber', function (req, res) {
  const phoneNumber = req.params.phoneNumber;
  const funFact = funFacts[Math.floor(Math.random() * funFacts.length)];

  const requestBody = {
    messages: [
      {
        from: 'InfoSMS',
        destinations: [
          {
            to: phoneNumber,
          },
        ],
        text: `Fun fact: ${funFact}`,
      },
    ],
  };

  const fetchOptions = {
    method: 'post',
    body: JSON.stringify(requestBody),
    headers: {
      Authorization: `App ${process.env.API_KEY}`,
      'Content-Type': 'application/json',
    },
  };

  const URL = `${process.env.API_BASE_URL}/sms/2/text/advanced`;

  fetch(URL, fetchOptions)
    .then((response) => response.json())
    .then((json) => {
      res.json(json);
    })
    .catch((error) => {
      res.json({ data: error });
    });
});

module.exports = router; Why make a server-side API request you ask? Primarily because we want to keep our API key a secret. The Infobip SMS API uses an that requires us to provide our API key, and we wouldn’t want that to be fully visible to all users in their browser’s network requests. So instead, we can protect that API key by storing it in an file and only accessing it from the server, not the client. authorization header .env With that, the Infobip SMS API sends a text to the phone number the user provided, and the browser’s UI displays a confirmation message. We’ve successfully texted someone a fun fact! Conclusion and Further Exploration In our short time together, we’ve built a simple app, but there’s so much more we could do. Rather than just sending the one text, we could allow users to opt in to receive a fun fact every day. We could create a customer directory from everyone who signed up. We could even require two-factor authentication for users to verify their phone numbers before subscribing to our fun fact of the day service. The for SMS sending is extensive, and you can even set up on outbound messages. options provided by the API webhooks for reports The good news is that Infobip makes all of this easy. Whether you use their API directly, one of their SDKs, or their platform’s GUI, staying connected with your users can be a breeze. Also Published Here

Build an SMS App With Infobip

The number of people using smartphones is on the move and growing rapidly. As reported by , there are over 6 billion smartphone subscriptions, and they are continuing to grow by hundreds of millions in the next few years. Statista Consequently, it has allowed businesses to reach customers easily on mobile devices, which has brought major changes in the modern world. Many companies took advantage of this opportunity and started building mobile applications for their business using hybrid technology. Hybrid app development methodology allows the developer to build more efficient and scalable mobile applications using a single codebase that work well on both Android & iOS platforms. Hybrid mobile apps are proven to be the most successful applications for growing businesses with complete flexibility. Many hybrid mobile app development frameworks are out there in the market today, and in some cases, it is difficult to decide which framework fits your mobile application. Well, in this article, we will discuss the top hybrid mobile app development frameworks and guide you on how to choose the best app development frameworks for your business application. What are Hybrid App Development Frameworks? Hybrid app development frameworks allow app developers to build applications that operate seamlessly across all platforms, including iOS, Android, Windows, macOS, etc. Hybrid frameworks make mobile app development faster by allowing developers to create applications in a minimum time with the same code (one set of the codebase) for all platforms. Therefore, it helps businesses to release and launch their product app to the market without compromising the quality. A few statistics you must know about hybrid app development frameworks, are: As stated by , around 54.8% of global website traffic is generated by mobile devices. Statista The likelihood of users using cross-platform applications is significantly higher. Around 80% of users aren't fussed about the differences between hybrid apps and native apps. The following frameworks have been ranked as the top hybrid mobile development frameworks in 2022: Choosing the best hybrid app development framework is not that easy as it seems. It requires in-depth determination of the application as it widely impacts your app and business. To help you choose the best cross-platform framework, check out the following list of top hybrid mobile app development frameworks in 2022 that you consider for your app development project. Flutter Developed by Google, Flutter is the most popular hybrid app development framework used for creating a highly interactive and aesthetically pleasing app. It provides a powerful UI toolkit that helps to build native-like apps for mobile, desktop, and web platforms. Flutter comes with highly customized widgets and works on a codebase to develop mobile applications faster and more efficiently. It creates visuals with Skia, a 2D rendering engine, and helps to improve the practical functionality of components using the layered architecture. : Pros of Flutter are A hot reload feature lets developers quickly see the changes in the app. Attractive UI designs with various design elements. Comes with widgets. Perfect fit for cross-platform applications. Fast and Lightning Speed. An ideal choice for MVP-based development. The ability to write the code dynamically. It has its own widgets. Great compatibility with Fuchsia. Cons of Flutter are: As the framework is new so it has a lot of ground to cover. Insufficient profile data completion (iOS). Apps built on Flutter are comparatively huge (around 40% larger) than native apps. Require developers to learn Dart before working on Flutter. Some features come with poor support. Ionic No doubt, Ionic is the most popular hybrid mobile app development framework used for creating modern and innovative mobile applications. It allows app developers to build stunning designs with eye-catching graphical representations of the application. Ionic provides all UI design aspects, including typography, innovative themes, image design & placement, and more. Introduced in 2013, Ionic is one of the most modest hybrid app development frameworks that comes with a rich library, in-built tools, and front-end building & premier user interface components, enabling app developers to build the highest quality PWAs. Pros of the Ionic Platform: Numerous UI elements for exquisite designs. Well-organized documentation that makes it easier to use and understand. Strong community support. Easy to update the applications. Easy to catalyze the process with Angular concepts, reducing time spent on the framework. It comes with native functionalities. Hassle-free app setups using interactive layouts Cons of the Ionic framework: The inherent testing occurs when the browser is not able to give appropriate information relevant to the smartphone's surroundings. Doesn’t include a hot reloading feature. More dependency on plugins. Not ideal for large mobile applications. Xamarin Developed by tech giant Microsoft, Xamarin is another yet the most popular hybrid mobile app development for building functionality-rich cross-platform applications. Xamarin uses cutting-edge languages C# which is highly advanced compared to other programming languages Java and Objective-C. It is used for creating hybrid mobile applications that can be run across all major platforms such as Android, iOS, and Windows. It comes with all essential tools and a great user interface to build stunning, efficient, and robust mobile applications. Pros of Xamarin frameworks are: Streamlined testing procedure. Native UI features. Great code reusability for different platforms. Ability to connect apps with hardware components via plugins without affecting device performance. It comes with its developed ecosystems such as Xamarin SDKs, Xamarin Studio, Xamarin Test Cloud, and Xamarin Insights. Great learning opportunities. Hassle-free API integration. Fast GUI prototyping Smooth code sharing Easy maintenance Unmatched support for hardware devices via modules and plugins. Huge community support. Cons of Xamarin frameworks are: Very expensive as compared to other mobile web app frameworks. Lack of expertise in Xamarin. Android and iOS platform-specific limitations. Complex API integration with overhead codes. Insufficient API support. Not best fit for a game application. PhoneGap Developed by Nitobi in 2009, PhoneGap is an open-source hybrid mobile app development framework widely used to . CSS and HTML5 are used to render the source code, and JavaScript is used to implement the logic. build cross-platform applications PhoneGap is supported by the Cordova framework and Adobe, and that is why it is called Apache Cordova. Pros of PhoneGap are: Great compatibility with iOS, Android, and Windows 7. Allows developers to build applications easier and faster in a quick turnaround time. Complete flexible as it supports HTML5, CSS3, and JavaScript. A single codebase works for Android, iOS, and Windows 7 platforms. Robust backend system. Quick to learn. Quick and fast Rapid testing for the application. Plugin architecture compatibility. Cons of PhoneGap are: Lower app performance. Perfect fit for small businesses. Not compatible with all functionalities. Improves efficiency when working with native apps. Insufficient pre-built UI widgets. React Native React Native is the most popular and open-source hybrid mobile app development framework introduced by Facebook in the market. The framework offers great support to IDEs and various other tools used for mobile app development. React Native has great potential as it provides users with a native-like experience and great stability. Developers can easily integrate powerful features like live reloading, code reusability, and native plugins with the platform. Pros of React Native are: Easy to reuse the code for both Android and iOS platforms. Ability to make changes to the live server. Automatically detects errors and fixes them in no time. Greatly reduced cost with max code reusability. Native code rendering. Node.Js supported. The functionality of Node Packet Manager (NPM) installation, which makes it easier for newcomers. Double screen Live Reload feature that allows developers to do code modification and preview the changes at once. The reduced development process for application. Great compatibility with lots of plugins and hardware components. : Cons of React Native are It’s not suitable for apps with different screens, heavy special effects, UI transitions, and various interactions. Insufficient navigation components. Required updates in accessing hardware components. Lack of custom modules. Kendo UI Kendo UI is one of the best hybrid mobile app development frameworks used for building high-performance, interactive, and more user-friendly applications. It comes with a comprehensive range of collections, including various JavaScript UI components with rich libraries of React, Agular, Vue, jQuery, etc. With Kendo UI, developers can easily add advanced UI components into the existing design with the help of existing libraries. Some top features such as spreadsheets, advanced data grid components, charts, schedules, etc. : Pros of Kendo UI Easy to export data to multiple mime formats. Users can navigate through the topics based on the present hierarchy. Superb editor control. : Cons of Kendo UI Poor support in some cases. Learning curve data source. Poor documentation. NativeScript NativeScript is a perfect hybrid app development framework for businesses who want to code their cross-platform in JavaScript, TypeScript, NativeScript, or Angular. It enables developers to create applications using JavaScript or other programming languages that transpile to javascript, including TypeScript and Angular. NativeScript allows developers to build native-like apps that use the same APIs for Xcode or Android studio. Developers can easily integrate apps with party libraries such as Maven, CocoaPods, and npm.js without requiring the wrapper. Pros of NativeScript are: Easy to execute in no time. Compiled into native code and executed natively. Ability to split content Vue.js supported. Cons of NativeScript are: Poor documentation. Includes various unrealistic assumptions in examples. Un-organized description of the environment. Take Away There are plenty of options available to help you choose the best hybrid mobile app development frameworks in 2022, for your app development project. The above hybrid frameworks we discussed are the top-rated hybrid mobile app development frameworks used for building top-notch cross-platform applications worldwide. However, each mobile app framework has its pros and cons, so it is best to choose them based on your budget and application needs.

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