head to head · open source

Langflow vs OpenDoor

Langflow has 156,546 GitHub stars, 10,388 forks, 1,056 open issues and last shipped yesterday. OpenDoor has 1,017 stars, 185 forks, 4 open issues and last shipped 3 days ago. Langflow leads on adoption by 15,293% (156,546 vs 1,017 stars). Langflow is written in Python under MIT; OpenDoor is written in Python under GPL-3.0. Langflow has attracted 7% as many forks as stars, OpenDoor 18%. Langflow 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.

Langflow ★ 157K OpenDoor ★ 1.0K category Developer Tools

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Side by side

Langflow OpenDoor
GitHub stars ★ 157K ★ 1.0K
License MIT GPL-3.0
Written in Python Python
Last push 2026-11-11 2026-11-09
Forks ⑂ 10K ⑂ 185
Self-hosting Yes Yes
Data ownership Your server Your server

pick Langflow if

  • You weight community size — 157K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Langflow profile →

pick OpenDoor if

  • You want the OpenDoor feature set and don't need the biggest community
  • You prefer the GPL-3.0 license terms
  • Your stack matches Python
  • You evaluated both and OpenDoor fits your workflow better

full OpenDoor profile →

About Langflow

Langflow is a powerful platform for building and deploying AI powered agents and workflows. It provides developers with both a visual authoring experience and built in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools. ✨ Highlight features Visual builder interface to quickly get started and iterate. Source code access lets you customize any component using Python. Interactive playground to immediately test and…

read the full Langflow overview →

About OpenDoor

OpenDoor — OWASP Web Recon & Directory Discovery Platform OpenDoor is an open source CLI Recon Platform for authorized web reconnaissance, directory discovery, subdomain enumeration, fingerprints, WAF detection, bypass probing, response filtering, reporting, open redirect checks, bounded crawl and transport based scanning workflows. It helps security researchers, penetration testers, bug bounty hunters, DevSecOps engineers, and developers identify exposed paths, login panels, directory listings, restricted resources, backup files, web shells, subdomains, and other potentially sensitive web assets. Use OpenDoor…

read the full OpenDoor overview →

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Frequently asked questions

Is Langflow or OpenDoor more popular?

Langflow has 156,546 GitHub stars and OpenDoor has 1,017. Langflow has the larger community by that measure.

Are Langflow and OpenDoor free?

Both are open source. Langflow is licensed under MIT and OpenDoor under GPL-3.0. Neither carries a licence fee.

What is the difference between Langflow and OpenDoor?

Langflow is written in Python and OpenDoor 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, Langflow or OpenDoor?

Choose Langflow if you want the larger community (156,546 stars) or its MIT licence terms. Choose OpenDoor if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.