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AnyChart VS DataLab

Compare AnyChart VS DataLab and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

AnyChart logo AnyChart

Award-winning JavaScript charting library & Qlik Sense extensions from a global leader in data visualization! Loved by thousands of happy customers, including over 75% of Fortune 500 companies & over half of the top 1000 software vendors worldwide.

DataLab logo DataLab

AI-powered data notebook
  • AnyChart Home Page of AnyChart JS Charts
    Home Page of AnyChart JS Charts //
    2025-03-10

Founded in 2003, AnyChart is one of the global leaders in interactive data visualization, offering award-winning, flexible JavaScript (HTML5) charting libraries with numerous chart types and features, great API & documentation, and enterprise-grade support.

Cross-browser JS charts and graphs, maps, stock charts, and Gantt charts powered by AnyChart have helped thousands of companies including industry leaders โ€” from startups to corporate giants such as AT&T, Bosch, BP, Citi, ExxonMobil, Lockheed Martin, Merck, Novartis, Oracle, Reuters, Samsung, Tencent, UBS, Volkswagen, Yahoo, 3M & many others โ€” gain better insight, make right decisions, and improve their enterprise performance based on robust, insightful data visualization.

Whether you need to enhance your website with better reporting, embed dashboards into your on-premises and SaaS systems, or build an entirely new product, AnyChart covers all your data visualization needs. The company's products include massive out-of-the-box capabilities, combined with flexibility & simplicity.

Loved by thousands of happy customers, including more than 75% of Fortune 500 companies across all industries and over half of the top 1,000 software vendors worldwide.

In 2019, AnyChart launched a technology alliance partnership with Qlik, adding three new product extensions for Qlik Sense. The partnership enables the Qlik community to be provided with more than 30 new chart types and many valuable features natively in the Qlik environment.

Not present

AnyChart

Website
anychart.com
Pricing URL
Official AnyChart Pricing
$ Details
freemium $49.0 / One-off (Next Unicorn license for startups)
Platforms
JavaScript Web Qlik Windows Mac OSX Linux Android iOS TypeScript PHP Google Chrome Safari Opera Firefox Java iPhone Mobile Laravel ReactJS React Native Angular Python Node JS Cross Platform
Release Date
2003 May
Startup details
Country
United States
State
Florida
City
St. Augustine
Founder(s)
Anton Baranchuk
Employees
10 - 19
Edit details

DataLab

Website
datacamp.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Edit details

AnyChart features and specs

  • Chart types
    70+ (bar, line, Gantt, candlestick, waterfall, sunburst...)
  • Data formats
    Multiple (JavaScript API, XML, JSON, CSV, HTML table, Google Sheets...)
  • Integrations
    Seamlessly runs with any language, framework, and database (multiple integration templates are available)
  • Docs
    The documentation and API reference are very detailed and everything is explained in detail in a simple and clear way, with numerous readymade chart samples
  • Browser support
    Supports all browsers, including IE6+ along with mobile browsers
  • Dependencies
    None
  • Product history
    AnyChart has been operating from 2003 and the team is very experienced with a long history of releasing high-quality products.
  • Open source
    The open source code is hosted on GitHub under different licenses depending on the library
  • Flexibility
    Extremely flexible and customizable Any part of a chart can be changed and customized.
  • Interactivity
    Events can be distributed to chart elements which respond to user actions. Event listeners are simple JavaScript functions which are very easy to use and understand

DataLab features and specs

  • Browser-based environment
    DataLab runs entirely in the browser, requiring no local installation or setup. Users can start coding in Python or R immediately without configuring environments, installing packages, or managing dependencies on their own machines.
  • Integration with DataCamp ecosystem
    DataLab is tightly integrated with the DataCamp learning platform, allowing learners to seamlessly transition from courses and tutorials to hands-on practice in a real coding environment. This makes it easy to apply newly learned skills.
  • Collaboration features
    DataLab supports sharing and collaboration on notebooks, enabling teams and learners to work together, share analyses, and provide feedback within a single platform, similar to Google Docs-style collaboration for data science.
  • AI coding assistant
    DataLab includes a built-in AI assistant that can help users generate code, debug errors, and explain concepts. This is particularly useful for beginners who need guidance and for experienced users looking to speed up their workflow.
  • Pre-installed packages and datasets
    The platform comes with many popular data science packages pre-installed and provides easy access to sample datasets, reducing the friction of getting started with analysis and eliminating common dependency management headaches.

Possible disadvantages of DataLab

  • Limited computational resources
    As a cloud-based notebook environment, DataLab has constraints on available memory, CPU, and execution time. Users working with large datasets or computationally intensive tasks may find the platform insufficient compared to local setups or more robust cloud platforms.
  • Tied to DataCamp subscription
    Full access to DataLab features is generally tied to a DataCamp subscription, which means users need to maintain a paid plan to leverage all capabilities. This can be a barrier for individuals or teams on tight budgets compared to free alternatives like Google Colab or Kaggle Notebooks.
  • Limited language and framework support
    DataLab primarily supports Python and R, which covers most data science use cases but may not be sufficient for users who need other languages like Julia, Scala, or SQL-only environments, or who require specialized frameworks not available on the platform.
  • Less flexibility than local environments
    Users have limited control over the underlying system configuration, custom package versions, GPU access, and environment customization. Advanced users or those with specific infrastructure needs may find DataLab too restrictive compared to running their own Jupyter or RStudio setup.
  • Vendor lock-in concerns
    Work created in DataLab lives within the DataCamp ecosystem, and while notebooks can typically be exported, the tight integration with DataCamp-specific features means that migrating workflows to another platform may require additional effort and some features won't transfer.

Analysis of DataLab

Overall verdict

  • DataLab by DataCamp is a solid, browser-based data analysis notebook that combines a low-friction coding environment with AI assistance, making it a good choice for learners and analysts who want to quickly explore and share data-driven work without complex setup.

Why this product is good

  • Runs entirely in the browser with no installation or environment configuration required
  • Supports both Python and SQL, plus built-in connections to databases and files
  • Includes an AI assistant that helps generate, explain, and debug code
  • Tight integration with DataCamp's learning ecosystem, so skills learned in courses can be applied immediately
  • Easy sharing and collaboration through publishable, reproducible notebooks
  • Free tier available, making it accessible for students and beginners

Recommended for

  • Data science and analytics students applying newly learned skills
  • Beginners who want a zero-setup coding environment
  • Analysts needing to quickly explore datasets and share results
  • DataCamp learners looking for a practice and portfolio tool
  • Teams wanting collaborative, reproducible data notebooks

AnyChart videos

+ Add

Heatmap Chart using AnyChart with Python

More videos:

  • Tutorial - Creating Interactive Charts with AnyChart library for Your Android App
  • Tutorial - How to Create a Gantt Chart in Qlik Sense using AnyGantt Extension by AnyChart

DataLab videos

No DataLab videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to AnyChart and DataLab)

AnyChart

DataLab

Data Dashboard
87 87%
Data Dashboard
13% 13
Charting Libraries
100 100%
Charting Libraries
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100
Data Visualization
83 83%
Data Visualization
17% 17

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare AnyChart and DataLab

AnyChart Reviews

  1. alairedeforest
    Fast, effective charts

    Probably the best JS chart library on the market right now.

    ๐Ÿ Competitors: CanvasJS
    ๐Ÿ‘ Pros:    Extremely simple|Fast|Affordable
    ๐Ÿ‘Ž Cons:    Not free
15 JavaScript Libraries for Creating Beautiful Charts
AnyChart is a lightweight and robust JavaScript charting library with charts designed to be embedded and integrated. AnyChart allows you to display 68 charts out-of-the-box and provides features to create your own chart types. You can save a chart as an image in PDF, PNG, JPG or SVG format.
Source: www.sitepoint.com
Top 10 Visual Analytics Provider For 2021
AnyChart provides products for those who are slightly well-versed with HTML and JavaScript. Their products provide robust JavaScript charting libraries with APIs, documentation, and enterprise-grade support. Developers can integrate a variety of charts into their mobile, desktops, or web products. Their component is compatible with any database and runs on any platform....
Source: analyticsindiamag.com
Top 10 JavaScript Charting Libraries for Every Data Visualization Need
AnyChart is a robust, lightweight and feature-rich JS chart library with rendering in SVG/VML. It actually gives web developers a great opportunity to create any different charts that will help to make decisions based on what is seen.
Source: hackernoon.com

DataLab Reviews

We have no reviews of DataLab yet.
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What are some alternatives?

When comparing AnyChart and DataLab, you can also consider the following products

Chart.js - Easy, object oriented client side graphs for designers and developers.

Hyperquery - Data notebook built for speed, visibility, and collaboration

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Zerve AI - What if Jupyter + Figma + VSCode had a baby?

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