head to head · open source
taipy vs deep-searcher
taipy has 19,457 GitHub stars, 1,999 forks, 225 open issues and last shipped 3 months ago. deep-searcher has 8,378 stars, 816 forks, 55 open issues and last shipped 1 months ago. taipy leads on adoption by 132% (19,457 vs 8,378 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%. deep-searcher 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 | ★ 8.4K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-08-10 | 2026-09-22 |
| Forks | ⑂ 2.0K | ⑂ 816 |
| 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
Build Python Data & AI web applications From simple pilots to production ready web applications in no time. No more compromises on performance, customization, and scalability. Go beyond existing libraries Table of Contents Taipy? What for? Taipy and its ecosystem Quickstart Documentation and resources Contributing Code of Conduct License ⭐ What for? Taipy is designed for data scientists and machine learning engineers to create data & AI driven web applications. ⭐️ Enables building production ready web applications. ⭐️ No need to learn new languages; only Python is needed. ⭐️ Focus on data and AI algorithms…
read the full taipy overview →
About deep-searcher
DeepSearcher combines cutting edge LLMs (OpenAI o3, Qwen3, DeepSeek, Grok 4, Claude 4 Sonnet, Llama 4, QwQ, etc.) and Vector Databases (Milvus, Zilliz Cloud etc.) to perform search, evaluation, and reasoning based on private data, providing highly accurate answer and comprehensive report. This project is suitable for enterprise knowledge management, intelligent Q&A systems, and information retrieval scenarios. 🚀 Features Private Data Search : Maximizes the utilization of enterprise internal data while ensuring data security. When necessary, it can integrate online content for more accurate answers. Vector…
read the full deep-searcher overview →
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Frequently asked questions
Is taipy or deep-searcher more popular?
taipy has 19,457 GitHub stars and deep-searcher has 8,378. 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 (19,457 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.