head to head · open source
Skyvern vs flowgram.ai
Skyvern has 23,336 GitHub stars, 2,233 forks, 234 open issues and last shipped yesterday. flowgram.ai has 8,551 stars, 783 forks, 110 open issues and last shipped yesterday. Skyvern leads on adoption by 173% (23,336 vs 8,551 stars). Skyvern is written in Python under AGPL-3.0; flowgram.ai is written in TypeScript under MIT. Skyvern has attracted 10% as many forks as stars, flowgram.ai 9%. Skyvern was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, automation), 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
| Skyvern | flowgram.ai | |
|---|---|---|
| GitHub stars | ★ 23K | ★ 8.6K |
| License | AGPL-3.0 | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 2.2K | ⑂ 783 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Skyvern if
- You weight community size — 23K stars and counting
- You want the AGPL-3.0 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 Skyvern
🐉 Automate Browser based workflows using LLMs and Computer Vision 🐉 Skyvern automates browser based workflows using LLMs and computer vision. It provides a Playwright compatible SDK that adds AI functionality on top of playwright, as well as a no code workflow builder to help both technical and non technical users automate manual workflows on any website, replacing brittle or unreliable automation solutions. Traditional approaches to browser automations required writing custom scripts for websites, often relying on DOM parsing and XPath based interactions which would break whenever the website layouts changed…
read the full Skyvern 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 Skyvern or flowgram.ai more popular?
Skyvern has 23,336 GitHub stars and flowgram.ai has 8,551. Skyvern has the larger community by that measure.
Are Skyvern and flowgram.ai free?
Both are open source. Skyvern is licensed under AGPL-3.0 and flowgram.ai under MIT. Neither carries a licence fee.
What is the difference between Skyvern and flowgram.ai?
Skyvern 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, Skyvern or flowgram.ai?
Choose Skyvern if you want the larger community (23,336 stars) or its AGPL-3.0 licence terms. Choose flowgram.ai if its feature set, stack or MIT licence fits better. Both are self-hostable.