head to head · open source

Apache Superset vs semiotic

Apache Superset has 75,392 GitHub stars, 18,572 forks, 588 open issues and last shipped yesterday. semiotic has 2,717 stars, 144 forks, 41 open issues and last shipped yesterday. Apache Superset leads on adoption by 2,675% (75,392 vs 2,717 stars). Apache Superset is written in Python under Apache-2.0; semiotic is written in TypeScript under Apache-2.0. Apache Superset has attracted 25% as many forks as stars, semiotic 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.

Apache Superset ★ 75K semiotic ★ 2.7K category Data & Analytics

← all 20902 open source comparisons

Side by side

Apache Superset semiotic
GitHub stars ★ 75K ★ 2.7K
License Apache-2.0 Apache-2.0
Written in Python TypeScript
Last push 2026-11-02 2026-11-02
Forks ⑂ 19K ⑂ 144
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

full Apache Superset profile →

pick semiotic if

  • You want the semiotic feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and semiotic fits your workflow better

full semiotic profile →

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 semiotic

A React data visualization library designed for AI assisted development. Start with a small chart component. Add network graphs, streaming data and coordinated views when the task needs them. Structured schemas, diagnostics and rendering evidence help coding assistants implement, check and repair chart configurations. Work through a complete task: check category totals, maintain a live chart, or correct a published chart. The source task packets identify their build and evidence scope; source availability does not establish installed or deployed parity. What's New in 3.10.1 3.10.1 adds Network Atlas recipes and…

read the full semiotic 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 semiotic more popular?

Apache Superset has 75,392 GitHub stars and semiotic has 2,717. Apache Superset has the larger community by that measure.

Are Apache Superset and semiotic free?

Both are open source. Apache Superset is licensed under Apache-2.0 and semiotic under Apache-2.0. Neither carries a licence fee.

What is the difference between Apache Superset and semiotic?

Apache Superset is written in Python and semiotic in TypeScript. 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 semiotic?

Choose Apache Superset if you want the larger community (75,392 stars) or its Apache-2.0 licence terms. Choose semiotic if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.