head to head · open source
taipy vs deep-searcher
taipy has 19,436 GitHub stars, 1,993 forks, 225 open issues and last shipped 1 months ago. deep-searcher has 8,273 stars, 804 forks, 55 open issues and last shipped 10 months ago. taipy leads on adoption by 135% (19,436 vs 8,273 stars). taipy is written in Python under Apache-2.0; deep-searcher is written in Python under Apache-2.0. taipy has attracted 10% as many forks as stars, deep-searcher 10%. taipy 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 | deep-searcher | |
|---|---|---|
| GitHub stars | ★ 19K | ★ 8.3K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-08-10 | 2025-11-19 |
| Forks | ⑂ 2.0K | ⑂ 804 |
| 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 deep-searcher if
- You want the deep-searcher 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 deep-searcher 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 deep-searcher
DeepSearcher is an open source deep research tool that combines large language models with vector databases to search, evaluate, and reason over private data, producing accurate answers and comprehensive reports. Written in Python and released under the Apache 2.0 license, it lives in the AI and machine learning ecosystem as a machine learning infrastructure project, built around agentic retrieval augmented generation and the Zilliz/Milvus vector search stack. The project has been on GitHub for two years, carries 8265 stars and 803 forks, and had its most recent push on 19 November 2025.
read the full deep-searcher overview →
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Frequently asked questions
Is taipy or deep-searcher more popular?
taipy has 19,436 GitHub stars and deep-searcher has 8,273. taipy has the larger community by that measure.
Are taipy and deep-searcher free?
Both are open source. taipy is licensed under Apache-2.0 and deep-searcher under Apache-2.0. Neither carries a licence fee.
What is the difference between taipy and deep-searcher?
taipy is written in Python and deep-searcher 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 deep-searcher?
Choose taipy if you want the larger community (19,436 stars) or its Apache-2.0 licence terms. Choose deep-searcher if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.