head to head · open source
frigate vs flowgram.ai
frigate has 37,160 GitHub stars, 3,782 forks, 95 open issues and last shipped yesterday. flowgram.ai has 8,551 stars, 783 forks, 110 open issues and last shipped yesterday. frigate leads on adoption by 335% (37,160 vs 8,551 stars). frigate is written in Python under MIT; flowgram.ai is written in TypeScript under MIT. frigate has attracted 10% as many forks as stars, flowgram.ai 9%. frigate was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), so they are genuine substitutes rather than adjacent tools.
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
| frigate | flowgram.ai | |
|---|---|---|
| GitHub stars | ★ 37K | ★ 8.6K |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 3.8K | ⑂ 783 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick frigate if
- You weight community size — 37K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick flowgram.ai if
- You want the flowgram.ai feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and flowgram.ai fits your workflow better
About frigate
Frigate NVR™ Realtime Object Detection for IP Cameras \[English\] 简体中文 A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a GPU or AI accelerator is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported object detectors. Tight integration with Home Assistant via a custom component Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary Leverages multiprocessing…
read the full frigate overview →
About flowgram.ai
FlowGram｜Workflow development framework English 中文 Español Русский Português Deutsch 日本語 FlowGram is a composable, visual, easy to integrate, and extensible workflow development framework & toolkit. Our goal is to help developers build AI workflow platforms faster and simpler . FlowGram comes with a suite of built in tools for workflow development: flow canvas, node configuration form, variable scope chain, and ready to use materials (LLM, Condition, Code Editor etc). It’s not a ready made workflow platform; it’s the framework and toolkit to build yours. Learn more at FlowGram.AI 🌐 🎬 Demo Open in CodeSandbox…
read the full flowgram.ai overview →
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Frequently asked questions
Is frigate or flowgram.ai more popular?
frigate has 37,160 GitHub stars and flowgram.ai has 8,551. frigate has the larger community by that measure.
Are frigate and flowgram.ai free?
Both are open source. frigate is licensed under MIT and flowgram.ai under MIT. Neither carries a licence fee.
What is the difference between frigate and flowgram.ai?
frigate is written in Python and flowgram.ai in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, frigate or flowgram.ai?
Choose frigate if you want the larger community (37,160 stars) or its MIT licence terms. Choose flowgram.ai if its feature set, stack or MIT licence fits better. Both are self-hostable.