Zoomcar has merged with Innovative International Acquisition Corp. and made its public markets debut on Nasdaq.

Zoomcar begins trading on Nasdaq | PhocusWire

WorkIndia, a leading tech-enabled blue-collar recruitment company has announced the appointment of Anand Chandran as head of growth.

WorkIndia appoints ex- Zoomcar/Zivame Anand Chandran as Head of Growth

Innovative International Acquisition Corp, with which Zoomcar signed a merger pact last year, said its registration statement on Form S-4 for the merger has been declared effective by the SEC ...

Zoomcar Eyes US Listing In Q4 2023 Through SPAC Deal

In the second installment of bestselling “Booming Brands”, author Harsh Pamnani tells captivating stories behind the making of 11 ‘Made in India’ brands that have either been pioneers or have reshaped their respective industries.

‘Booming Brands’ volume 2 shares inspiring stories of Indian brands

Mumbai: In a world increasingly defined by connectivity and sustainability, car sharing has emerged as a transformative force in the travel industry. Travelers are no longer limited by the confines of traditional transportation options;

Go beyond borders: How car sharing is revolutionising World Tourism

An increasing number of customers are choosing road travel with merchants such as Zoomcar, DriveU, and QuickRide, according to Simpl, a buy now pay later (BNPL) platform. The bookings on merchant platforms made via its 1-tap checkout witnessed a 2x rise in ...

More customers choosing road travel with Zoomcar, DriveU, QuickRide: Simpl

Self-drive car rental platforms such as Zoomcar, DriveU and Quickride are witnessing a surge in demand for pre-festive road trips, according to the insights shared by credit-based payment platform Simpl. The company suggested that bookings made on the ...

Self-drive rental car bookings witness surge for pre-festive road trips in August: Report

At a pan-India level, Zoomcar experienced a substantial upswing in bookings, demonstrating over 50% increase. This surge serves as a clear indicator of a significant shift in consumer behavior ...

Pre-festive road travel bookings through Simpl Checkout posts 2x surge

Road trips using services like Zoomcar, DriveU, and QuickRide have doubled in August compared to last year. Zoomcar has seen a threefold increase in transactions through Simpl's one-tap checkout.

Road travel surges in India ahead of festive season: Simpl Checkout report

id=1672926&AY13 Major players in the market include Hertz Global Holdings, Enterprise Holdings, Avis Budget Group, Zoomcar, Europcar, Sixt AG, Localiza, Myles, China Auto Rental Inc, eHi Car ...

Self-drive Car Rental Market 2023-2030 Share, Growth Statistics, Business Strategies, Major Players Like Avis Budget Group, Zoomcar, Europcar

Zoomcar

zoomcar

A brief* career retrospective Image source: http://chrislema.com/five-tips-for-product-managers/ This post has been in drafts for over a year now. I wrote this as a response to the countless messages I get on Linkedin/ asking how to move to a product role. Over the past 5 years I have worked for various startups, built a few interesting products and switched from a developer to a product manager. This is also my attempt to summarise my career as it stands now and includes from my previous jobs. Twitter learnings I have worked at: (Summer Intern, May 2011 — Jul 2011, 3 months) IOCL (Attempt at starting up, Nov 2011 — Jul 2012, 9 months) NGOSphere (Summer Intern, May 2012 — Jul 2012, 3 months) Redbus (Final Semester Intern, Jan 2013 — Jul 2013, 6 months) Avaya (Full time, Aug 2013 — Sept 2013, 2 months) KonyLabs (Full time, Oct 2013 — Nov 2014, 1 year 2 months) Kore.ai (Full time, Dec 2014 — Dec 2015, 1 year 1 month) CouponDunia (Full time, Jan 2016 — Sept 2016, 9 months) Craftsvilla (Full time, Since Dec 2016, Current) Directi IOCL and Avaya IOCL and Avaya were easy. I just had to fill a form and let my college (BITS) and my CGPA (6.0/10) take care of the rest. Thanks to my CGPA I knew I had no chance of getting internships at top tier firms. I tried to learn as much as I could at both places, and got a few good projects under my belt. Learnings: There was no way I could see myself doing a government job. The 3 months at IOCL was enough for me to realise that I got interested in management while at IOCL. I took a project related Total Productive Maintenance (TPM)at IOCL and I started a habit of reading as much as I could about best management practices At Avaya, I learnt how big companies run. I was part of sprints, planning meetings for the first time. I also understood how products get built: customer research, prototyping, alpha releases etc RedBus I got into RedBus thanks to something I learnt quite early in my life: there are few people in this world who have the audacity to go after what they really want in life. At BITS, I saw a friend of mine send out close to 200 applications to professors all over the world to land a summer internship abroad. There were people who had much better CGPA. There were people who probably were better at Computer Science than him. But none of them had his drive. My only experience till 3rd year of college was a summer internship at IOCL and a failed attempt at starting up. Inspired by my friend, I decided to send out as many applications as possible, no matter how many rejections I got. Thankfully the first email itself worked. By leadership positions I meant a position at the Student Council as an elected representative from my hostel and being a co-founder of NGOSphere (which I will talk about later in this post). I still got an interview. Showing up something is the only thing you need to do, even if you might thing you are not there yet. Shankar Prasad, the COO, told me that RedBus was exploring expansion in the North East. They had started operations almost a year before, but they had very few tie ups and hence wanted someone to go there. My work was to convince bus operators & travel agencies to partner with RedBus, scale up RedBus’s operations and run a few marketing projects. I don’t know why they felt that I was the guy who could do that, but I was still thankful and jumped at the opportunity. Learnings: I realised how much I loved working for a fast paced startup which was in hyper scaling mode. There was no bureaucracy. You did not have to please your manager and could just go out and do your own stuff I never felt like a lowly paid intern. I was hustling in the North East, trying to figure out a way to grow RedBus there. I studied the travel industry in and out. I also wrote a blog post here: How is Redbus.in innovative if it’s just a normal bus ticket booking site? In the 3 months I was with Redbus I helped double their partners in the North East. Even then I was looking at unique ways I could be valuable for a corporation. Being from the North East helped. I realized that if everything fails in my life, I could still become a city manager for some startup in Guwahati. I got solid recommendations and learnt a lot, something I could never had done at a big corporation I Learnt a lot about how culture is important for a startup. At RedBus, Phani (the CEO) used to send Happy Birthday mails to employees. My manager Subhobrata did his best to let me have the freedom to do what I wanted. Even if I was just there just for 3 months, I felt like I was part of the company. People were quick to praise your work and make you feel important NGOSphere This was our announcement post on Facebook. We were happy to have our own startup. We were vain. And naive. But we tried. During my 2nd year of college I got fascinated with the world of startups. This was the beginning of the startup boom in India. Everywhere I turned, I could see people starting up. Also maybe, I was reading too much TechCrunch. Here was the idea: There were around 2 million NGOs in India in 2011. Our goal was to get at least 1% of them online. Provide them various services: web site development, brochure design, fund raising, branding. Our goal was to start a web design agency and target only this market. Learnings: Finding a datapoint like 2 million NGOs are in India means nothing. We were stupid to assume most of them want to come online and the only thing lacking was a push by us Most NGOs in India are just tax avoidance scams. They don’t care whether people know about them or not Even if you manage to convince a few of them to work with you, they will bail at the last minute. The typical excuse would be lack of funds, directors thought otherwise and were no longer interested Market validation is really important. We assumed NGOs would use the brand presence to raise more funding. We assumed NGOs would be willing to pay us for digital services. Golden rule of starting up: Never assume. Talk to potential customers. See if they are willing to pay We were more interested in getting our visiting cards printed, updating our Linkedin bio. I promised never to do something again in life just because it was the “cool” thing to do. It was a humbling experience, getting rejected by so many people Thankfully something good came out of it: I learnt a lot of lessons which helped me do well in the RedBus internship and later move to a product role. Another co founder started Halaplay and is doing quite well KonyLabs and Kore.ai Depending on college placements was the stupidest mistake I made. I was hoping some fast growing startup would come to college and offer me some Business Development or Marketing position. I was not that keen on moving to a developer role. Coding never excited me in college, and I did not know then that something like product management existed. I did not even interview for most of the software companies which came in the beginning of placement season. Only after almost the entire placements were done, I realised what a mistake I had made; with a 6.0 (/10) CGPA I was in deep waters. I had not applied anywhere off campus too. I was running out of options. So I did what any sane guy at my situation would do: Read Cormen (textbook on Data Structures) cover to cover and started sitting for interviews. I still kept getting rejected (messing up in the final rounds of a few companies) and was one of the last guys in my Computer Science batch to get placed. It was a humbling experience. My father would call me every night asking when Microsoft/Google is coming and I had to remind him again and again that with my CGPA I was not even eligible to sit for their interviews. I finally got placed in a startup called Kony Labs. I joined their team which used Kony Studio (their proprietary platform) to build apps for various companies.The advantage of Kony Studio is that it can generate builds for multiple platforms from a single JS codebase. I wrote about my interview experiences here: Want To Work For An Indian Startup? Here’s What You Need to Do I worked at KonyLabs for just 2 months before joining Kore, which spun out from the company. It had the same management team and their goal was to build the next generation workplace collaboration platform. It was the best decision I made. Instead of being one of the 100s of developers I was not part of a small startup where I could learn faster. I would go on to work on the Android app before moving to the Server team. Learnings: Most things in life boils down to luck. I could have remained at Kony and kept working on their proprietary platform. It would not have helped me a lot career wise. But due to some random selection I ended up being one of the few freshers moved to Kore.ai Working at Kore was fun mostly, but with periods of extreme frustration. . Speed is indeed something which can make or break early startups. . There was no north star to speak of I felt we were moving too slow and needed to ship much faster if we wanted to have any chance against Slack We also kept changing our product roadmap and working on the next cool feature Worked under an amazing Tech lead. I understood why they say r. I learnt a lot during my time at Kore. I had no clue about APIs before I joined Kore. I did not know the difference between SOAP and REST properly. One and a half year of writing code helped me learn how to actually roll up my sleeves and build products myself. It also helped me become more emphatic later as a PM, having been a dev myself. I wrote a blogpost on that too: the effective Tech Lead is a 100x enginee what separates good managers from the rest I realised I could never become a good enough dev to work at Google or Amazon. Instead of reading tech blogs I spent far more time reading product development blogs. If I could not finish my work, I would just go home and have a sound sleep, without being up all night figuring out the fix CouponDunia While I was at Kore, I received this time capsule I had set in 2012. This capsule was from a mediocre college student who wanted his future self to answer this simple question: “Did you make something good out of your life or are you still getting screwed?” I realised that even though I could continue at Kore, working as a developer, I did not see myself as a coder 10 years down the line. So I thought “why waste any more time?” I told my manager that I was quitting and put in my papers. I had a 2 months notice period and in the worst case I was willing to go back to being a dev. Or maybe I could just join a startup as a Product Management intern? I was willing to take the risk. I had been thinking about the switch for a long time and I knew I would just keep thinking about it and not do anything if I was not pushing myself hard enough and showed enough intent. And what is the best way to show intent than quitting your safe job without a new job offer! The time capsule which changed my life. Literally. Instead of writing on how I prepared for Product Management interviews in particular I am linking some really good resources here: Interviewing for Big Logos with GoogleX former Product Manager How to Prepare for a Product Manager Interview by former Facebook PM You can also go through all the Product School videos. Also read book. Crack the PM Interview . I followed the exact same approach. Kept pitching to CEOs/Head of Products on how I can add value. Being a generalist really helped to get a foot in the door. But a lack of prior product experience led to a lot of rejections too. Finally I interviewed with 2 startups- CouponDunia and Zoomcar. I have also already written on how to look for startup jobs I had connected with Sameer, the CEO of CouponDunia on Angellist and I sent my pitch to him. CouponDunia pitch The answer to why I wanted to move to a Product role: Why Product manager? I wrote a long product critique of the app as well as the website. I even found broken links. I had seen how people apply at companies without even using their products. I wanted to show that I cared about the company. I had invested enough time to understand the market as well as the existing products. All I wanted now was a chance. Product Critique of the CD app and website More ideas to grow the usage Learnings: I have already written about my work at CouponDunia. If you are interested you can read this: and How We Scaled CashBoss To 500K downloads in 5 months Farewell CouponDunia… About transitioning to a Product role: 19 lessons I learned during my first year as a Product Manager Craftsvilla I was loving my life at CouponDunia. I had a boss who liked me, who gave me the freedom to do whatever I wanted. But I also realised that I was getting too comfortable in my life/career. I was no longer learning as much. I had scaled CashBoss to 1million installs and profitability but if we were to reach the next level, we would need a far bigger investment in Marketing. I was helping a few other startups during this time including one which eventually got acquired by Quikr. I was also seriously contemplating switching to one of the “Rocket Ships”. People suggest you to jump into one, no matter what role you get. It was during that time Craftsvilla reached out to me. It was supposed to be a random coffee meet with the VP of Product but things turned out for the good and I got a job offer. The following points made the role really exciting: Craftsvilla was one of the fast growing rocketships you read on various startup blogs. Funded by top investors it had raised a massive round at a valuation of around 200 mil and there were talks about a listing on NASDAQ One of my long term goals then was to move into VC after getting enough startup experience. I thought this would be a good opportunity to work and network with people in the industry. Almost all the VPs at Craftsvilla were ex VCs Lastly my role: I was being offered the chance to head mobile apps which seemed too good of a role to refuse I talked about ways to demonstrate value earlier. Even before I officially joined Craftsvilla, I started working on growth. Thinking about how to make Craftsvilla the next unicorn was all I could think of. Always be ready to contribute and demonstrate value as early as possible Learnings: Learnt how to make decisions with data. Every feature you pitch at Craftsvilla had to be backed with metrics and every release supposed to improve on Conversion Got domain knowledge of the e-commerce industry; from logistics to category management to merchandising Understood how highly funded VC funded startups work from the inside By the end of 9 months I had a sad realisation: Most of the people I enjoyed working with had left due to various issues. The Indian startup ecosystem was in turmoil. Every day you could see startups shutting down. Raising new rounds was becoming harder by the day. And Indian e-commerce sector is still in its infancy. Customer retention is hard. Every one is just burning money to retain people who wont think twice before shopping at your competitor for a 10% extra discount. Even the market leader Flipkart is still bleeding losses I was also suffering from various health issues after working non stop for years and needed a break. I thought taking a few months off would be good Directi I spent the next 3 months at home. For a change I did not have to respond to mails asking why conversion dropped by 20% on a Sunday afternoon. It was good fun but time was running out. I needed to look for a job again. I met quite a few startups (based in Guwahati). I evaluated my options. I did not want to join another e-commerce company unless it was a market leader. Chat platforms were becoming huge. Lot of interesting companies working in the space. I had read like 100 blogposts on Wechat already. So I decided to apply to the only two companies in India working on Chat: Hike and Flock. I wrote a 10 pager on how to take Hike to the next level and sent it to their Head of Growth. I also dropped a mail to Bhavin, the CEO of Directi. When I say I hope this somehow lands in your inbox I meant it literally. I normally don’t go through the typical HR route and just reach out to the Hiring manager/Head of Product/ CEO with a value proposition mail. And I sure as hope it lands on their Inbox and not the spam folder. Fun fact: first part of the mail/pitch a bunch of product ideas invoking wechat spirit Always explain the ‘why’ I managed to get into Directi and join their Apps team. I have been working on exactly the same things I mentioned in the mail. There have been pros as well as cons but there won’t be a retrospective section for Directi for now. That’s all folks! Why I wrote this? I know there is no point writing a retrospective for your career when it has not even been 5 years since you passed out of college. This might even look narcissistic somehow. But I did end up doing a lot of things in my life over the last few years which I wanted as a teenager in college. I did not go to any MBA school. I worked at various promising startups and gave my best (till I could, and then moved on). I hope this inspires someone who is still at college and wondering whether they can ever find modest level of professional success. This also answers how I got into Product. Thanks for reading.

How I became a Product Manager

Recently, data engineering has become an increasingly coveted space. With an , the demand for skilled data engineers is growing with every passing day. Data engineers combine their data and software engineering expertise to facilitate the data infrastructure of an organization. They build, orchestrate, and maintain data pipelines. average salary of over 112K USD Are you an aspiring data engineer, or someone with experience in the data space—looking to pivot into data engineering? If yes, you know that most job listings for data engineers can often be daunting—with a whole bunch of good-to-know tools and required experience. And that’s why we’ve put together this guide. In this list, you'll find some of the best data engineering courses and career paths that can help you jumpstart your data engineering journey! Let’s dive in! List of Data Engineering Courses to Take in 2023 IBM Data Engineering Professional Certificate Coursera Google Cloud Data Engineer Professional Certificate DataCamp’s Data Engineer with Python Career Track Dataquest’s Data Engineer Career Track Udacity Data Engineer Nanodegree Data Engineering Zoomcamp Data Warehouse Fundamentals for Beginners AWS Solutions Architect Associate Cert Prep Taming Big Data with Apache Spark and Python 1. IBM Data Engineering Professional Certificate The on Coursera is one of the most popular data engineering specializations. IBM Data Engineering Professional Certificate In this series of courses, you’ll learn the following: Relational Database Management Systems, such as MySQL and PostgreSQL Advanced SQL queries NoSQL and big data using Hadoop, Apache Spark, MongoDB, Cassandra, and more Implementation of ETL and data pipelines using Bash, Airflow and Kafka Creating BI reports and interactive dashboards Free to audit; Upgrade or to get a verified certificate. For more details on upgrading to a subscription, check . Pricing: Apply for financial aid Coursera Plus this link 2. Coursera Google Cloud Data Engineer Professional Certificate on Coursera is designed to provide you with the skills you’ll need to tackle the industry-recognized certification. Preparing for Google Cloud Data Engineer Professional Certificate Google Cloud Professional Data Engineer You’ll learn big data and data engineering fundamentals with focus on the Google Cloud Platform (GCP). Here’s a list of courses you'll go through in the specialization: Big Data and Machine Learning fundamentals Modernizing data lakes and data warehouses on Google Cloud Building Batch Data Pipelines on GCP Building Resilient Streaming Analytics Systems on Google Cloud Smart Analytics, Machine Learning, and AI on GCP Watch this video to know ’s review of the Google Data Engineer Professional Certificate. Seattle Data Guy Free to audit; Upgrade or to get a verified certificate. For more details on upgrading to a subscription, check . Pricing: Apply for financial aid Coursera Plus this link 3. DataCamp’s Data Engineer with Python Career Track is one of the most popular learning paths. With over 70 hours of coursework, you’ll learn several useful data engineering tools.  As a prerequisite, you should be comfortable with Python and SQL fundamentals. DataCamp’s Data Engineer Career Track What you’ll learn: Intermediate Python and SQL Relational Databases and  Database Design Several big data tools like PySpark, Airflow, AWS Boto, MongoDB, and more about the courses. Learn more DataCamp has both monthly, and annual subscription plans starting at . You’d need a DataCamp subscription to access this track. You can find more details on the available plans . Pricing: $5/month here 4. Dataquest’s Data Engineer Career Track is designed to help you level up your Python and SQL skills as you work your way through the curriculum. You’ll spend a lot of time learning and practicing Python and SQL. Dataquest’s Data Engineering Career Path The key components in this career path include: Gain proficiency in Python programming Level up SQL skills and PostgreSQL Build data pipelines You can learn more about this career track . here Dataquest also has a subscription model, costing around . Pricing: $20/month 5. Udacity Data Engineer Nanodegree is designed to equip you with working knowledge of some of the most common tools you'll be using as a data engineer from time to time. Udacity’s Data Engineer Nanodegree In this nanodegree, you'll do data modeling, build cloud data warehouses and data pipelines. You'll also apply all that you've learned in a capstone project. You can check out the course, learn about the discounts available, and download the detailed curriculum . here Udacity has a pay-as-you-go model, costing . The faster you finish, the more you can save. 😀 In addition, they also offer personalized discounts. For more details, visit . Pricing: $399/month this link 6. Data Engineering Zoomcamp by is a free, online data engineering course. The first cohort of the Data Engineering Zoomcamp started on 17th January, 2022. Data Engineering Zoomcamp DataTalks.Club This course is taught by and a team of instructors including professional data engineers with many years of experience. Over a 9-week period, this course covers a lot of ground—including analytics engineering, batch and stream processing. Alexey Grigorev If you enjoy learning with a community of highly motivated learners, consider checking out and join their Slack workspace to be notified of future events and courses. DataTalks.Club All the course materials, assignments, and solutions can be accessed from that has over 3K stars (as of writing this post). this GitHub repo Free ✅ Pricing: So far, we’ve listed down some of the data engineering courses that cover a wide breadth of knowledge. Now, we’ll list a few useful resources that’ll help you understand more specific tools and aspects of data engineering. 7. Data Warehouse Fundamentals for Beginners on Udemy is a great course to understand data modeling and best architectural practices. Data Warehouse Fundamentals for Beginners The key concepts you’ll learn in this course include the following: The techniques needed to build data warehouses for your organization—with the optimal architecture The concepts of dimensional data modeling. $10 to $15 (during sale) Pricing: Udemy 8. AWS Solutions Architect Associate Cert Prep As a data engineer, you should be familiar with at least one cloud service provider, and here’s an excellent course on Udemy to learn about . Amazon Web Services (AWS) Trusted by close to 500K learners from across the globe, this is one of the highest rated courses on Udemy. It’s continuously improved and updated, and this course will also help you prepare for the . AWS Solutions Architect Associate Certification $10 to $15 (during sale) Pricing: Udemy 9. Taming Big Data with Apache Spark and Python If you’re looking to learn big data analysis with Spark, on Udemy would be a great choice. Taming Big Data with Apache Spark and Python In this hands-on course, you'll learn how to: formulate data analysis problems as Spark problems analyze large data sets, and run algorithms on data that’s distributed across many CPUs use Spark SQL to analyze structured data $10 to $15 (during sale) Pricing: Udemy Final Thoughts on These Data Engineering Courses It’s true that we learn best by doing. So once you've picked up on the foundational skills from one or more of these courses, you may try building projects to apply your learning. If you know other helpful courses that you think should be added to this list, feel free to raise a PR to this that houses . Or feel free to leave your suggestions in the comments below! GitHub repo all my HackerNoon stories Thanks for reading this far! I hope you found this listicle of data engineering courses helpful. If you know someone who’d benefit from these resources, please do share with them. Happy data engineering! Until next time. 😄

9 Best Data Engineering Courses You Should Take in 2023

Los 9 mejores cursos de ingeniería de datos que debe tomar en 2022

Visualization is the key. We are dealing with tons of files every day. The volume of information is constantly growing. The more information we need to process, the easier and more logically it should be arranged. That's why charts, diagrams, and graphs catch our attention. The information there is well-structured and understandable which leads to faster analysis, comprehension, and decision-making. JavaScript serves the purposes of data visualization and sites interactivity the best. Nowadays, numerous JS libraries are used to facilitate the processes of data visualization. In this overview, we have gathered the widgets to arm developers with the best modern practices. First, we will review the . Second, we will look through the . most popular types of visualization widgets modern JS libraries offering those features represent the data graphically. The information provided in a chart can be shown as bars, lines, slices, or a sequence of connected pictures. Any visual aid that includes pictures and words indicating them can be called a chart. For example, they can be safety instructions on board a plane, a bar graph indicating world population, or a family tree. Charts and diagrams can be divided into roadmaps, satellite maps, terrain, and hybrid ones. The main purpose is usually to show the location of something or to navigate. Maps help to embed video files into applications. They usually support various file types. Video widgets Those were the most commonly used visualization features. For more specific applications developers can use gauge components, barcodes, organograms. There are thousands of various ways to grab the attention of the users and to let them perceive the data in the most effective way. Now let's focus on the most complete and appealing sets of visualization widgets of the modern JS libraries. 1. D3.js This is probably the most well-known library among developers when it comes to data visualization. The library includes means for animation, data analysis, data utilities, DOM utilities, and geodata. The library is overwhelming and all-mighty, which has its flip side. It is quite difficult to learn, the documentation is confusing and outdated. The API often exposes direct access to the DOM, which steps in contradiction with how modern frontend frameworks like React or Vue work. However, in most cases, the issues can be walked around. 2. Webix JavaScript Charts Webix is a well-developed JS library with ready-made widgets that can be used independently as SPA applications or built into any other environment. The library contains some of the most common data visualization widgets. They are all easy to maintain as they are written with a few lines of code, the documentation is detailed, and the support is responsive. The choice is quite limited, however, the available widgets close the most typical needs of the developers. There are Charts, Bullet graph widget, Barcode, Excel viewer, Maps, Template widget, and so on. So, there are ideal solutions if you are looking for something smart but not too sophisticated. 3. Chart.js With this library, we come to open-source resources. It is a simple and lightweight solution. Developers won't find a wide variety of chart types and individual settings here, however, it perfectly copes with basic requirements. A nice feature is that you can combine different datasets and mix line and bar charts, for your visualization to look unique and informative. The library offers 8 types of graphs and diagrams. All types of graphs can be customized and animated, and they are all adaptive when working online. The functionality can be extended through the use of plugins. 4. ZoomCharts This is a visualization tool, which claims to be the world’s most interactive JS charts library. It's reactive, it’s concentrated mostly on multi-touch gestures and a native feel across all kinds of devices. The solution undertakes to provide customers with beautiful visualizations that have little code and can be easily exploited in any product. Zoomcharts are Canvas-based, and with default settings, the library works up to twenty times faster than its SVG-based competitors using the same data and settings. Though the library is reviewed as expensive, its fascinating interactivity, multi-touch gestures, and high-calibre customer support are worth the money. 5. amCharts This is a nice solution for large companies. The fee is fixed, but the features are extensive. Among the customers, there are such names as Apple, NASA, Amazon. There are many types of graphs, including interactive maps and Gantt charts. The feature of data analysis is included, as well as other well-developed interactive options. The library is integrated with React, Angular, Vue, Ember, etc. It also has a ready-made plugin for WordPress and a possibility to export graphs to an image or PDF file. Conclusion The libraries are different in their features, size, and speed. But the ideal option is always the one that meets all the requirements of the current project. That's why the first and foremost is to carefully study the customers' demands, to compare the available options on the market, and finally to start the process of visualization.

Stories, News & Mentions about ZOOMCAR

Zoomcar’s Stories on HackerNoon

Zoomcar's News & Mentions