head to head · open source
taipy vs OpenLLM
taipy has 19,436 GitHub stars, 1,993 forks, 225 open issues and last shipped 1 months ago. OpenLLM has 12,535 stars, 841 forks, 20 open issues and last shipped 4 days ago. taipy leads on adoption by 55% (19,436 vs 12,535 stars). taipy is written in Python under Apache-2.0; OpenLLM is written in Python under Apache-2.0. taipy has attracted 10% as many forks as stars, OpenLLM 7%. OpenLLM 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 | OpenLLM | |
|---|---|---|
| GitHub stars | ★ 19K | ★ 13K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-08-10 | 2026-09-14 |
| Forks | ⑂ 2.0K | ⑂ 841 |
| 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 OpenLLM if
- You want the OpenLLM 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 OpenLLM 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 OpenLLM
OpenLLM is an Apache 2.0 Python project from BentoML that runs open source or custom large language models as OpenAI compatible API endpoints on self hosted infrastructure, and it is aimed at developers and platform teams who want to serve Llama, Qwen, Mistral, DeepSeek and similar models in the cloud without rewriting their client code.
read the full OpenLLM overview →
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Frequently asked questions
Is taipy or OpenLLM more popular?
taipy has 19,436 GitHub stars and OpenLLM has 12,535. taipy has the larger community by that measure.
Are taipy and OpenLLM free?
Both are open source. taipy is licensed under Apache-2.0 and OpenLLM under Apache-2.0. Neither carries a licence fee.
What is the difference between taipy and OpenLLM?
taipy is written in Python and OpenLLM 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 OpenLLM?
Choose taipy if you want the larger community (19,436 stars) or its Apache-2.0 licence terms. Choose OpenLLM if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.