{"data":{"slug":"traceloop-openllmetry","name":"openllmetry","tagline":"Open-source observability for GenAI or 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":7438,"forks":1082,"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":"2026-09-17T18:54:33+00:00","maintenance_label":"Very active","stars_delta_30d":61,"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":679,"watchers":21,"ai_summary":"OpenLLMetry is an open-source observability tool for GenAI and LLM applications, leveraging OpenTelemetry for monitoring and metrics.","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":"2026-09-20T04:30:23.26958+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":"llm","name":"llm"},{"slug":"llmops","name":"llmops"},{"slug":"metrics","name":"metrics"},{"slug":"ml","name":"ml"},{"slug":"model-monitoring","name":"model-monitoring"}],"trust":{"provenance":{"is_fork":false,"github_id":686364232,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-18T08:23:05.517Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":4,"days_since_push":0,"last_release_at":"2026-08-10T08:49:01Z","stars_delta_30d":61,"open_issues_delta_30d":41},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":40,"high_count":0,"last_scan_at":"2026-09-18T08:23:07.711Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-09-18T08:23:04.394Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-09-18T08:23:04.394Z"},"languages":{"value":["python","javascript"],"source":"github.language+package.json","observed_at":"2026-09-18T08:23:04.394Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-18T08:23:04.394Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you are working on GenAI or LLM applications and need observability features that are specifically tailored for these types of applications.","If your project is open-source and you prefer tools that align with open-source principles, as OpenLLMetry is licensed under Apache-2.0.","When you require a tool that integrates seamlessly with Python applications, given that OpenLLMetry provides a Python SDK for easy setup and use."],"when_not_to_use":["If your application is not in Python, as OpenLLMetry's primary support is for Python applications, limiting its utility for other languages.","When you need a tool that offers more than just observability features, as OpenLLMetry focuses specifically on monitoring and metrics for GenAI and LLM applications and may not cover other aspects of栈"],"source":"enrich:decision_facts","observed_at":"2026-09-18T11:19:42.382Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"OpenLLMetry is an open-source observability tool for GenAI and LLM applications, built on OpenTelemetry, offering Python SDK for easy integration."}]}}