head to head · open source
taipy vs txtai
taipy has 19,436 GitHub stars, 1,993 forks, 225 open issues and last shipped 1 months ago. txtai has 12,956 stars, 891 forks, 9 open issues and last shipped 3 days ago. taipy leads on adoption by 50% (19,436 vs 12,956 stars). taipy is written in Python under Apache-2.0; txtai is written in Python under Apache-2.0. taipy has attracted 10% as many forks as stars, txtai 7%. txtai was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| taipy | txtai | |
|---|---|---|
| GitHub stars | ★ 19K | ★ 13K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-08-10 | 2026-09-15 |
| Forks | ⑂ 2.0K | ⑂ 891 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick taipy if
- You weight community size — 19K 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 txtai if
- You want the txtai feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and txtai fits your workflow better
About taipy
Taipy is an open source Python library and ecosystem for building data and AI driven web applications. It is designed for data scientists and machine learning engineers who want to turn data and AI algorithms into production ready web applications, and it lives in the Python ecosystem under the Apache 2.0 license. The project is maintained by Avaiga Private Limited and has been developed over roughly five years, with the repository showing 19,435 stars, 1,993 forks, and 225 open issues at the time of writing.
read the full taipy overview →
About txtai
txtai is an all in one AI framework for semantic search, LLM orchestration and language model workflows, written in Python and released under the Apache 2.0 license. It lives in the Python machine learning ecosystem and is built on Hugging Face Transformers, Sentence Transformers and FastAPI. The core component is an embeddings database, which is a union of vector indexes (both sparse and dense), graph networks and relational databases. That foundation enables vector search and also serves as a knowledge source for large language model applications.
read the full txtai overview →
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Frequently asked questions
Is taipy or txtai more popular?
taipy has 19,436 GitHub stars and txtai has 12,956. taipy has the larger community by that measure.
Are taipy and txtai free?
Both are open source. taipy is licensed under Apache-2.0 and txtai under Apache-2.0. Neither carries a licence fee.
What is the difference between taipy and txtai?
taipy is written in Python and txtai 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, taipy or txtai?
Choose taipy if you want the larger community (19,436 stars) or its Apache-2.0 licence terms. Choose txtai if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.