Software Alternatives & Startups

Datapane VS AnyChart

Compare Datapane VS AnyChart and see what are their differences

Datapane

Datapane is an API-first platform for building reporting and BI tools using Python.

Rating
0 reviews
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)

Which is more popular?

Based on our record, Datapane seems to be more popular. It has been mentioned 8 times since March 2021.

social mentions
8 vs 0
Business Intelligence popularity
100% vs 0%
alternatives listed
87 vs 240+

Base details

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

Datapane
AnyChart
Website docs.datapane.com anychart.com
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

About Datapane and AnyChart

In their own words, as submitted to SaaSHub.

Datapane
AnyChart

No description of Datapane yet.

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

Features and specs

What each product offers, as listed by its team.

Datapane 5 features
AnyChart 10 features
  • Easy Report Generation
    Datapane simplifies the process of creating and sharing interactive reports using Python, allowing users to convert Python scripts and Jupyter notebooks into dynamic reports easily.
  • Integration with Python
    Datapane integrates seamlessly with Python, which is beneficial for data scientists and analysts who already utilize Python in their data pipelines and analyses.
  • Interactive Elements
    Reports can include interactive elements such as plots, tables, and controls, providing a more engaging way to present complex data insights.
  • Deployment Options
    Datapane offers multiple deployment options, including a cloud service for easy sharing and collaboration, as well as the ability to host on-premises or on private infrastructure.
  • Privacy and Security
    Users concerned about data privacy and security can choose to deploy Datapane on their infrastructure, maintaining control over their data.

Possible disadvantages

  • Learning Curve
    Users not familiar with Python or scripting may find it challenging to get started with Datapane, as it requires coding knowledge for report creation.
  • Limited to Python
    Organizations not using Python heavily in their workflows may find Datapane less adaptable, as it primarily targets Python users.
  • Cost Considerations
    Depending on the chosen deployment and scale, there might be cost implications, particularly for the cloud-hosted version of Datapane.
  • Feature Limitations
    Some advanced customization or feature requirements might exceed the capabilities of Datapane, necessitating the use of additional tools or services.
  • 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

Videos

Walkthroughs and reviews on video.

Datapane 1 video + Add
AnyChart 3 videos + Add

Datapane Quick Overview

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

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
Datapane
AnyChart
100% 100%
0% 0%
9% 9%
91% 91%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using Datapane and AnyChart. 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.

Datapane no reviews yet
AnyChart 5.0 · 1 review

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

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Social recommendations and mentions

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

Datapane 8 mentions
AnyChart 0 mentions
  • How do you guys share R/Python based analyses to business stakeholders?
    PowerPoint will do. If there isn't too much data I will sometimes make a quick datapane html dashboard that I can also send their way. They like that, the plotly plots can be interactive so they can poke around. Nice quick solution... Source: about 4 years ago
  • how do i convince data scientists to actually use my power bi dashboards?
    If you're going that route, check out Datapane - it's an open-source Python framework we're working on to create interactive reports from Plotly, Pandas, etc. Source: over 4 years ago
  • Ask HN: Who is hiring? (April 2022)
    Datapane | https://datapane.com | Remote (UK & Europe) Datapane is the frontend for the data science ecosystem. Our open-source library helps data scientists use the tools they love to create reports, dashboards, and apps for... - Source: Hacker News / over 4 years ago

View more

Tracking AnyChart since Mar 2021.

Alternatives to Datapane and AnyChart

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