head to head · open source
Apache Superset vs hypertools
Apache Superset has 75,392 GitHub stars, 18,572 forks, 588 open issues and last shipped yesterday. hypertools has 1,893 stars, 164 forks, 8 open issues and last shipped 24 days ago. Apache Superset leads on adoption by 3,883% (75,392 vs 1,893 stars). Apache Superset is written in Python under Apache-2.0; hypertools is written in Python under MIT. Apache Superset has attracted 25% as many forks as stars, hypertools 9%. 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 | hypertools | |
|---|---|---|
| GitHub stars | ★ 75K | ★ 1.9K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-10 |
| Forks | ⑂ 19K | ⑂ 164 |
| 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 hypertools if
- You want the hypertools feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and hypertools 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 hypertools
" To deal with hyper planes in a 14 dimensional space, visualize a 3D space and say 'fourteen' very loudly. Everyone does it. " Geoff Hinton Overview HyperTools is designed to facilitate dimensionality reduction based visual explorations of high dimensional data. The basic pipeline is to feed in a high dimensional dataset (or a series of high dimensional datasets) and, in a single function call, reduce the dimensionality of the dataset(s) and create a plot. The package is built atop many familiar friends, including matplotlib, scikit learn and seaborn. Our package was featured in 2017 on Kaggle's now retired "No…
read the full hypertools overview →
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 hypertools more popular?
Apache Superset has 75,392 GitHub stars and hypertools has 1,893. Apache Superset has the larger community by that measure.
Are Apache Superset and hypertools free?
Both are open source. Apache Superset is licensed under Apache-2.0 and hypertools under MIT. Neither carries a licence fee.
What is the difference between Apache Superset and hypertools?
Apache Superset is written in Python and hypertools in Python. 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 hypertools?
Choose Apache Superset if you want the larger community (75,392 stars) or its Apache-2.0 licence terms. Choose hypertools if its feature set, stack or MIT licence fits better. Both are self-hostable.