head to head · open source

Langflow vs serving

Langflow has 156,266 GitHub stars, 10,311 forks, 1,056 open issues and last shipped yesterday. serving has 6,118 stars, 1,244 forks, 165 open issues and last shipped yesterday. Langflow leads on adoption by 2,454% (156,266 vs 6,118 stars). Langflow is written in Python under MIT; serving is written in Go under Apache-2.0. Langflow has attracted 7% as many forks as stars, serving 20%. 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 ★ 156K serving ★ 6.1K category Developer Tools

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Side by side

Langflow serving
GitHub stars ★ 156K ★ 6.1K
License MIT Apache-2.0
Written in Python Go
Last push 2026-11-02 2026-11-02
Forks ⑂ 10K ⑂ 1.2K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Langflow if

  • You weight community size — 156K 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 serving if

  • You want the serving feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Go
  • You evaluated both and serving fits your workflow better

full serving 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 serving

Knative Serving Knative Serving builds on Kubernetes to support deploying and serving of applications and functions as serverless containers. Serving is easy to get started with and scales to support advanced scenarios. The Knative Serving project provides middleware primitives that enable: Rapid deployment of serverless containers Automatic scaling up and down to zero Routing and network programming Point in time snapshots of deployed code and configurations For documentation on using Knative Serving, see the serving section of the Knative documentation site. For documentation on the Knative Serving…

read the full serving overview →

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Frequently asked questions

Is Langflow or serving more popular?

Langflow has 156,266 GitHub stars and serving has 6,118. Langflow has the larger community by that measure.

Are Langflow and serving free?

Both are open source. Langflow is licensed under MIT and serving under Apache-2.0. Neither carries a licence fee.

What is the difference between Langflow and serving?

Langflow is written in Python and serving in Go. 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 serving?

Choose Langflow if you want the larger community (156,266 stars) or its MIT licence terms. Choose serving if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.