head to head · open source
Automatisch vs local-deep-research
Automatisch has 14,008 GitHub stars, 1,063 forks, 287 open issues and last shipped 9 months ago. local-deep-research has 9,499 stars, 903 forks, 889 open issues and last shipped yesterday. Automatisch leads on adoption by 47% (14,008 vs 9,499 stars). Automatisch is written in JavaScript under a custom or non-standard licence; local-deep-research is written in Python under MIT. Automatisch has attracted 8% as many forks as stars, local-deep-research 10%. local-deep-research 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
| Automatisch | local-deep-research | |
|---|---|---|
| GitHub stars | ★ 14K | ★ 9.5K |
| License | Custom / other | MIT |
| Written in | JavaScript | Python |
| Last push | 2026-02-11 | 2026-11-04 |
| Forks | ⑂ 1.1K | ⑂ 903 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Automatisch if
- You weight community size — 14K stars and counting
- You want the Custom / other license terms
- Your stack matches JavaScript
- You value the larger contributor base for long-term maintenance
pick local-deep-research if
- You want the local-deep-research feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and local-deep-research fits your workflow better
About Automatisch
Automatisch Open Source Zapier Alternative 🧐 Automatisch is a business automation tool that lets you connect different services like Twitter, Slack, and more to automate your business processes. 💸 Automating your workflows doesn't have to be a difficult or expensive process. You also don't need any programming knowledge to use Automatisch. Advantages There are other existing solutions in the market, like Zapier and Integromat, so you might be wondering why you should use Automatisch. ✅ One of the main benefits of using Automatisch is that it allows you to store your data on your own servers, which is essential…
read the full Automatisch overview →
About local-deep-research
Local Deep Research AI powered research assistant for deep, agentic research Performs deep, agentic research using multiple LLMs and search engines with proper citations 🧪 First open source project — fully local on a single RTX 3090 (Qwen3.6 27B) — to report 95% SimpleQA (n=500) and 77% xbench DeepSearch (n=100) on local hardware. See the r/LocalLLaMA announcement and the benchmark dataset. ▶️ Watch Review by The Art Of The Terminal 🚀 What is Local Deep Research? AI research assistant you control. Run locally for privacy, use any LLM and build your own searchable knowledge base. You own your data and see…
read the full local-deep-research overview →
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Frequently asked questions
Is Automatisch or local-deep-research more popular?
Automatisch has 14,008 GitHub stars and local-deep-research has 9,499. Automatisch has the larger community by that measure.
Are Automatisch and local-deep-research free?
Both are open source. Automatisch has no licence declared in this registry, and local-deep-research is licensed under MIT. Both are free to self-host.
What is the difference between Automatisch and local-deep-research?
Automatisch is written in JavaScript and local-deep-research 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, Automatisch or local-deep-research?
Choose Automatisch if you want the larger community (14,008 stars) or its Custom / other licence terms. Choose local-deep-research if its feature set, stack or MIT licence fits better. Both are self-hostable.