head to head · open source
LangWatch vs OpenLIT
LangWatch has 5,011 GitHub stars, 425 forks, 939 open issues and last shipped yesterday. OpenLIT has 2,902 stars, 456 forks, 60 open issues and last shipped 2 days ago. LangWatch leads on adoption by 73% (5,011 vs 2,902 stars). LangWatch is written in TypeScript under Apache-2.0; OpenLIT is written in TypeScript under Apache-2.0. LangWatch has attracted 8% as many forks as stars, OpenLIT 16%. LangWatch 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
| LangWatch | OpenLIT | |
|---|---|---|
| GitHub stars | ★ 5.0K | ★ 2.9K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | TypeScript | TypeScript |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 425 | ⑂ 456 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LangWatch if
- You weight community size — 5.0K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick OpenLIT if
- You want the OpenLIT feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and OpenLIT fits your workflow better
About LangWatch
Website · Docs · Discord · Self hosting Why LangWatch? The platform for LLM evaluations and AI agent testing. We help teams test, simulate, evaluate, and monitor LLM powered agents end to end — before release and in production. Built for teams that need regression testing, simulations, and production observability without building custom tooling. End to end agent simulations Run realistic scenarios against your full stack (tools, state, user simulator, judge) and pinpoint where your agents break, and why? down to each decision. Eval + observability + prompts in one loop Trace → dataset → evaluate → optimize…
read the full LangWatch overview →
About OpenLIT
Open source observability & evaluation for AI agents Trace, evaluate, debug, and optimize AI applications and coding agents with OpenTelemetry. ⭐ Star 🚀 Quickstart 📚 Docs Documentation · Quickstart · Examples · Join Slack See what your AI agents are actually doing AI applications are no longer just LLM calls. A production agent can involve: OpenLIT gives you visibility across the entire workflow. Trace every LLM call, tool invocation, prompt, agent step, token, cost, error, and evaluation — using OpenTelemetry. ⚡ Get started in 5 minutes 1. Start OpenLIT Open: 2. Install the SDK Python: TypeScript: 3…
read the full OpenLIT overview →
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Frequently asked questions
Is LangWatch or OpenLIT more popular?
LangWatch has 5,011 GitHub stars and OpenLIT has 2,902. LangWatch has the larger community by that measure.
Are LangWatch and OpenLIT free?
Both are open source. LangWatch is licensed under Apache-2.0 and OpenLIT under Apache-2.0. Neither carries a licence fee.
What is the difference between LangWatch and OpenLIT ?
LangWatch is written in TypeScript and OpenLIT 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, LangWatch or OpenLIT ?
Choose LangWatch if you want the larger community (5,011 stars) or its Apache-2.0 licence terms. Choose OpenLIT if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.