Software Alternatives, Accelerators & Startups
Register | Login

AnyChart VS Awesome Python

Compare AnyChart VS Awesome Python and see what are their differences

WorkProcedures
Generate professional standard operating procedures in minutes. AI-powered SOP creation built on 10,000+ industry procedures. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
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.

Awesome Python logo Awesome Python

Your go-to Python Toolbox. A curated list of awesome Python frameworks, packages, software and resources. 1303 projects organized into 177 categories.
  • 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.

  • Awesome Python Landing page
    Landing page //
    2023-01-12

AnyChart

Website
anychart.com
Pricing URL
Official AnyChart Pricing
$ Details
freemium $49 / 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

Awesome Python

Website
python.libhunt.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

Awesome Python features and specs

  • Comprehensive Resource
    Awesome Python offers a wide array of libraries and frameworks, making it a comprehensive resource for Python developers seeking tools across different categories.
  • Community Driven
    The repository is community-driven, with users contributing and curating the list, ensuring that it stays up-to-date with the latest and most popular tools.
  • Categorized Listings
    Resources are organized into categories, allowing users to quickly find tools relevant to their specific project needs.
  • Brief Descriptions
    Each library and framework comes with a brief description, helping users quickly understand the purpose and function of each tool.
  • Popularity Indicators
    Includes indicators such as stars and forks on GitHub, providing a sense of how widely used or trusted a particular library is within the community.

Possible disadvantages of Awesome Python

  • Quality Variation
    Since anyone can contribute, there is a variation in quality and maturity among the listed projects, which could lead to unreliable tools being included.
  • Overwhelming for Beginners
    The sheer volume of listed resources might be overwhelming for beginners who may struggle to identify which tools best fit their needs.
  • Lack of Deep Reviews
    Descriptions are generally brief, providing limited insight into the pros and cons of using each tool, which might require additional research from users.
  • Inconsistency in Updates
    Despite community efforts, some entries might lag in updates, potentially listing outdated or deprecated libraries.
  • No Direct Support
    As a curated list, it does not offer direct support or guidance on implementing the tools, leaving users to seek other sources for help.

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

Awesome Python videos

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

Add video

Category Popularity

0-100% (relative to AnyChart and Awesome Python)

AnyChart

Awesome Python

Data Dashboard
100 100%
Data Dashboard
0% 0
Open Source
0 0%
Open Source
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Productivity
0 0%
Productivity
100% 100

User comments

Share your experience with using AnyChart and Awesome Python. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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

Awesome Python Reviews

We have no reviews of Awesome Python yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Awesome Python seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AnyChart mentions (0)

We have not tracked any mentions of AnyChart yet. Tracking of AnyChart recommendations started around Mar 2021.

Awesome Python mentions (1)

What are some alternatives?

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

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

Open HUB - Open HUB is an open source directory that anyone can edit.

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

Eagle Eye - The AI-powered loyalty and personalization platform - Built with retailers, for retailers

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.

LibHunt - LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.

Loading...