openllmetry
Open-source observability for GenAI and LLM applications based on OpenTelemetry.
GraphCanon updated 6d · GitHub synced 6d
Decision brief
Good fit when
- Use openllmetry when you need observability tools specifically tuned for GenAI and LLM operations integrated with OpenTelemetry.
- Choose it if your project requires Python SDK support directly from the installation, enabling rapid setup through a simple import statement.
Avoid when
- Avoid using openllmetry in environments where dependency on Python is undesirable or where alternative languages are prioritized beyond Python's ecosystem.
- Do not select openllmetry if you prefer tools that offer broader customization options for core observability features, as it specializes in integration with OpenTelemetry.
Observed Jul 14, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (4d since push)
- As of 6d
- Provenance
- Not a fork · Organization account
- As of 6d
- Security (OSV)
- 29 low (29 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install openllmetry PyPIHow it fits your stack(19)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Related
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides observability capabilities through integration with OpenTelemetry to monitor and trace operations in AI systems.
Capability facts
- MCP server
- No MCP server detected
Source: repo_scan · Aug 15, 2026
- Languages
- python, javascript
Source: github.language+package.json · Aug 15, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 15, 2026)
guide, go to our [docs](https://traceloop.com/docs/openllmetry/getting-started-python).Source link
Tags
README
🚀 Getting Started
The easiest way to get started is to use our SDK. For a complete guide, go to our docs.
Install the SDK:
pip install traceloop-sdk
Then, to start instrumenting your code, just add this line to your code:
from traceloop.sdk import Traceloop
Traceloop.init()
That's it. You're now tracing your code with OpenLLMetry! If you're running this locally, you may want to disable batch sending, so you can see the traces immediately:
Traceloop.init(disable_batch=True)
For agents
This page has a .md twin and JSON over the API.