OpenLIT
Open-source OpenTelemetry-native observability platform for GenAI, LLM and AI application stacks.
Our Verdict
Right approach with OTel-native GenAI observability; solid pick if you value open standards over polish.
Pros
- OTel-native tracing for LLM and GenAI apps
- Open-source with Apache 2.0 license
- Drop-in with OpenAI, Anthropic, and vector DBs
- Avoids lock-in to proprietary LLMOps platforms
Cons
- Young project with evolving APIs
- Self-hosting burden vs managed Langfuse
- UI less polished than Braintrust or LangSmith
- Smaller community than established LLMOps tools
Best for: Teams wanting vendor-neutral LLM observability tied to existing OTel pipelines.
Not for: Teams preferring polished managed LLMOps with evals and PM-friendly UX.
When to Use OpenLIT
Good fit if you need
- OpenTelemetry observability for LLM and GenAI stacks
- Trace token usage, latency, and cost per LLM call
- Monitor prompt evaluation quality in AI pipelines
- Open-source alternative to Langfuse and Helicone
Lock-in Assessment
High 5/5
Lock-in Score 5/5
Pricing
Price wrong?OpenLIT Pricing
- Pricing Model
- free
- Free Tier
- Yes
- Entry Price
- —
- Enterprise Available
- No
- Transparency Score
- —
Beta — estimates may differ from actual pricing
1,000
1001K10K100K1M
Estimated Monthly Cost
$25
Estimated Annual Cost
$300
Estimates are approximate and may not reflect current pricing. Always check the official pricing page.
Project Health
B
Health Score
2.4k 266
Bus Factor
5
Last Commit
1 day
Release Freq
3d
Open Issues
36
Issue Response
0d
License
Apache-2.0
Last checked: 2026-04-21
Community Discussion
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