{"data":{"slug":"traceloop-openllmetry","name":"openllmetry","tagline":"Open-source observability for GenAI and LLM applications based on OpenTelemetry.","github_url":"https://github.com/traceloop/openllmetry","owner":"traceloop","repo":"openllmetry","owner_avatar_url":"https://avatars.githubusercontent.com/u/125419530?v=4","primary_language":"Python","stars":7377,"forks":1047,"topics":["artifical-intelligence","datascience","generative-ai","good-first-issue","good-first-issues","help-wanted","llm","llmops","metrics","ml","model-monitoring","monitoring","observability","open-source","open-telemetry","opentelemetry","opentelemetry-python","python"],"archived":false,"github_pushed_at":"2026-08-10T08:49:01+00:00","maintenance_label":"Very active","stars_delta_30d":75,"url":"https://www.graphcanon.com/tools/traceloop-openllmetry","markdown_url":"https://www.graphcanon.com/tools/traceloop-openllmetry.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/traceloop-openllmetry","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=traceloop-openllmetry","description":"Open-source observability for your GenAI or LLM application, based on OpenTelemetry","homepage_url":"https://www.traceloop.com/openllmetry","license":"Apache-2.0","open_issues":638,"watchers":19,"ai_summary":"Provides observability capabilities through integration with OpenTelemetry to monitor and trace operations in AI systems.","readme_excerpt":"## 🚀 Getting Started\n\nThe easiest way to get started is to use our SDK.\nFor a complete guide, go to our [docs](https://traceloop.com/docs/openllmetry/getting-started-python).\n\nInstall the SDK:\n\n```bash\npip install traceloop-sdk\n```\n\nThen, to start instrumenting your code, just add this line to your code:\n\n```python\nfrom traceloop.sdk import Traceloop\n\nTraceloop.init()\n```\n\nThat's it. You're now tracing your code with OpenLLMetry!\nIf you're running this locally, you may want to disable batch sending, so you can see the traces immediately:\n\n```python\nTraceloop.init(disable_batch=True)\n```","github_created_at":"2023-09-02T14:42:59+00:00","created_at":"2026-07-07T17:41:51.938381+00:00","updated_at":"2026-08-15T00:01:46.636899+00:00","categories":[{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"artifical-intelligence","name":"artifical-intelligence"},{"slug":"datascience","name":"datascience"},{"slug":"generative-ai","name":"generative-ai"},{"slug":"good-first-issue","name":"good-first-issue"},{"slug":"llm","name":"llm"},{"slug":"metrics","name":"metrics"},{"slug":"model-monitoring","name":"model-monitoring"},{"slug":"monitoring","name":"monitoring"}],"trust":{"provenance":{"is_fork":false,"github_id":686364232,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-15T00:01:45.792Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":5,"days_since_push":4,"last_release_at":"2026-08-10T08:49:01Z","stars_delta_30d":75,"open_issues_delta_30d":42},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":29,"high_count":0,"last_scan_at":"2026-07-11T10:48:12.033Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-08-15T00:01:46.286Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-08-15T00:01:46.286Z"},"languages":{"value":["python","javascript"],"source":"github.language+package.json","observed_at":"2026-08-15T00:01:46.286Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-15T00:01:46.286Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["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."],"when_not_to_use":["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."],"source":"enrich:decision_facts","observed_at":"2026-07-14T20:25:07.076Z"},"constraint_facets":null,"decision_summary":[]}}