head to head · open source
Apache Superset vs plot
Apache Superset has 75,392 GitHub stars, 18,572 forks, 588 open issues and last shipped yesterday. plot has 5,418 stars, 251 forks, 349 open issues and last shipped 4 days ago. Apache Superset leads on adoption by 1,292% (75,392 vs 5,418 stars). Apache Superset is written in Python under Apache-2.0; plot is written in HTML under ISC. Apache Superset has attracted 25% as many forks as stars, plot 5%. Apache Superset was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (data-visualization), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 20902 open source comparisons
Side by side
| Apache Superset | plot | |
|---|---|---|
| GitHub stars | ★ 75K | ★ 5.4K |
| License | Apache-2.0 | ISC |
| Written in | Python | HTML |
| Last push | 2026-11-02 | 2026-10-30 |
| Forks | ⑂ 19K | ⑂ 251 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Apache Superset if
- You weight community size — 75K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick plot if
- You want the plot feature set and don't need the biggest community
- You prefer the ISC license terms
- Your stack matches HTML
- You evaluated both and plot fits your workflow better
About Apache Superset
Superset A modern, enterprise ready business intelligence web application. Documentation User Guide — For analysts and business users. Explore data, build charts, create dashboards, and connect databases. Administrator Guide — Install, configure, and operate Superset. Covers security, scaling, and database drivers. Developer Guide — Contribute to Superset or build on its REST API and extension framework. Why Superset? Supported Databases Release Notes Get Involved Resources Organizations Using Superset Why Superset? Superset is a modern data exploration and data visualization platform. Superset can replace or…
read the full Apache Superset overview →
About plot
Observable Plot Observable Plot is a free, open source, JavaScript library for visualizing tabular data, focused on accelerating exploratory data analysis. It has a concise, memorable, yet expressive API, featuring scales and layered marks in the grammar of graphics style. Daily downloads of Observable Plot · oss analytics Documentation 📚 Examples 🖼️ Releases 🚀 See our CHANGELOG and summary release notes. Getting help 🏠 See our community guide. Contributing 🙏 See CONTRIBUTING.md.
More in Data & Analytics
Related comparisons
More Business Intelligence & Reporting projects
Compare either of these against the rest of the Business Intelligence & Reporting field.
Frequently asked questions
Is Apache Superset or plot more popular?
Apache Superset has 75,392 GitHub stars and plot has 5,418. Apache Superset has the larger community by that measure.
Are Apache Superset and plot free?
Both are open source. Apache Superset is licensed under Apache-2.0 and plot under ISC. Neither carries a licence fee.
What is the difference between Apache Superset and plot?
Apache Superset is written in Python and plot in HTML. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Apache Superset or plot?
Choose Apache Superset if you want the larger community (75,392 stars) or its Apache-2.0 licence terms. Choose plot if its feature set, stack or ISC licence fits better. Both are self-hostable.