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AnyChart VS iPython

Compare AnyChart VS iPython and see what are their differences

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.

Rating
5.0 · 1 review
Pricing
Open source Freemium Free trial $49 / One-off (Next Unicorn license for startups)
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Alternatives Is it good?
iP
iPython

iPython provides a rich toolkit to help you make the most out of using Python interactively.

Rating
0 reviews
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Alternatives Is it good?
STATUS: Project Governance
STATUS: Project Governance — lightweight project governance for professional project managers and consultants. Keep RAID, decisions and actions live, then export client-ready status reports. For iPhone, iPad and Mac. 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.

Which is more popular?

Based on our record, iPython seems to be more popular. It has been mentioned 20 times since March 2021.

social mentions
0 vs 20
Data Dashboard popularity
100% vs 0%
alternatives listed
240+ vs 101

Base details

Website, pricing, platforms and company facts side by side.

AnyChart
iP
iPython
Website anychart.com ipython.org
Pricing
Open source Freemium Free trial $49 / One-off (Next Unicorn license for startups) Official pricing
—
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 +21
—
Company Startup from the United States · 10 - 19 employees · 2003 —
Listed in
Charting Libraries Data Visualization Charting Tools And Libraries Gantt Charts Stock Charts Project Management Dashboard Software Javascript Utilities & Libraries Business Intelligence +6
Python IDE Text Editors Data Science IDE IDE +1

About AnyChart and iPython

In their own words, as submitted to SaaSHub.

AnyChart
iP
iPython

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,...

Read more about AnyChart

No description of iPython yet.

Features and specs

What each product offers, as listed by its team.

AnyChart 10 features
iP
iPython 5 features
  • 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
  • Interactive Computing
    IPython provides a rich toolkit to help you make the most out of using Python interactively. This includes powerful introspection, rich media display, session logging, and more.
  • Ease of Use
    IPython includes features like syntax highlighting, tab completion, and easy access to the help system, which make writing and understanding code easier for users.
  • Rich Display System
    It supports rich media like images, videos, LaTeX, and HTML, making it very useful for data visualization and educational purposes.
  • Extensibility
    IPython is highly extensible and can be customized with a range of plugins, extensions, and different backends to suit various needs.
  • Enhanced Debugging
    It features enhanced debugging capabilities, including an improved traceback support and better handling of exceptions.

Possible disadvantages

  • Learning Curve
    For beginners, the extensive feature set of IPython may be overwhelming and have a steep learning curve.
  • Resource Intensive
    IPython, particularly Jupyter notebooks, can be resource-intensive, leading to slow performance on large datasets or complex computations.
  • Dependency Management
    Managing dependencies can be challenging, especially when using multiple packages in the same environment, which can lead to conflicts.
  • Limited IDE Features
    While IPython has many interactive features, it lacks some of the more advanced IDE features such as comprehensive code refactoring tools and integrated version control.
  • Exporting and Sharing
    Although you can export notebooks in various formats, sharing them in a way that preserves full interactivity can be complex compared to traditional scripts.

Analysis

An editorial look at what each product does well and who it suits.

AnyChart
iP
iPython

No analysis of AnyChart yet.

Overall verdict

  • Yes, iPython is highly regarded for its flexibility, powerful features, and ability to enhance productivity in data analysis and scientific computing. It serves as an integral tool for many professionals in technical fields.

Why this product is good

  • iPython, which forms the backbone of the Jupyter ecosystem, is favored for its interactive capabilities, integration with various data science libraries, and support for visualizations. It allows seamless execution of code in a web-based environment, making it highly effective for experiments, rapid prototyping, and sharing insights.

Recommended for

  • Data Scientists
  • Researchers
  • Educators
  • Software Developers
  • Anyone interested in interactive and exploratory computing

Videos

Walkthroughs and reviews on video.

AnyChart 3 videos + Add
iP
iPython 0 videos + Add

Heatmap Chart using AnyChart with Python

More videos

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

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
AnyChart
iP
iPython
100% 100%
Data Dashboard
0% 0%
0% 0%
Text Editors
100% 100%
100% 100%
Charting Libraries
0% 0%
0% 0%
Python IDE
100% 100%

User comments

Share your experience with using AnyChart and iPython. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

AnyChart 5.0 · 1 review
iP
iPython no reviews yet

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

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

AnyChart 0 mentions
iP
iPython 20 mentions

Tracking AnyChart since Mar 2021.

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Alternatives to AnyChart and iPython

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

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