head to head · open source
Toonflow-app vs local-deep-research
Toonflow-app has 16,012 GitHub stars, 2,865 forks, 1 open issues and last shipped yesterday. local-deep-research has 9,130 stars, 831 forks, 889 open issues and last shipped today. Toonflow-app leads on adoption by 75% (16,012 vs 9,130 stars). Toonflow-app is written in TypeScript under MIT; local-deep-research is written in Python under MIT. Toonflow-app has attracted 18% as many forks as stars, local-deep-research 9%. 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
| Toonflow-app | local-deep-research | |
|---|---|---|
| GitHub stars | ★ 16K | ★ 9.1K |
| License | MIT | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-09-24 | 2026-09-25 |
| Forks | ⑂ 2.9K | ⑂ 831 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Toonflow-app if
- You weight community size — 16K stars and counting
- You want the MIT license terms
- Your stack matches TypeScript
- 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 Toonflow-app
Toonflow is an MIT licensed, open source AI creative platform for short drama, comic drama and short video production that unites scriptwriting, asset management and image and video generation on a single infinite canvas, made for creators and teams who want that workflow running on their own hardware rather than inside a closed hosted service.
read the full Toonflow-app overview →
About local-deep-research
Local Deep Research is an MIT licensed, Python based AI research assistant that performs deep, agentic research with proper citations across any local or cloud LLM and more than ten search engines, built for researchers, developers, and privacy conscious self hosters who want both the workload and the data to stay on hardware they control.
read the full local-deep-research overview →
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Frequently asked questions
Is Toonflow-app or local-deep-research more popular?
Toonflow-app has 16,012 GitHub stars and local-deep-research has 9,130. Toonflow-app has the larger community by that measure.
Are Toonflow-app and local-deep-research free?
Both are open source. Toonflow-app is licensed under MIT and local-deep-research under MIT. Neither carries a licence fee.
What is the difference between Toonflow-app and local-deep-research?
Toonflow-app is written in TypeScript 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, Toonflow-app or local-deep-research?
Choose Toonflow-app if you want the larger community (16,012 stars) or its MIT licence terms. Choose local-deep-research if its feature set, stack or MIT licence fits better. Both are self-hostable.