--- title: "openllmetry vs whylogs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/traceloop-openllmetry-vs-whylabs-whylogs" tools: ["traceloop-openllmetry", "whylabs-whylogs"] --- # openllmetry vs whylogs *GraphCanon updated Aug 15, 2026* ## Verdict Pick openllmetry when openllmetry is primarily Python; whylogs is Jupyter Notebook; pick whylogs when whylogs is primarily Jupyter Notebook; openllmetry is Python. [openllmetry](https://www.traceloop.com/openllmetry) reports 7.4k GitHub stars, 1.0k forks, and 638 open issues, last pushed Aug 10, 2026. [whylogs](https://whylogs.readthedocs.io/) has 2.8k stars, 143 forks, and 4 open issues, last pushed Jan 10, 2025. Figures are from public GitHub metadata via [openllmetry's repository](https://github.com/traceloop/openllmetry) and [whylogs's repository](https://github.com/whylabs/whylogs). | | [openllmetry](/tools/traceloop-openllmetry.md) | [whylogs](/tools/whylabs-whylogs.md) | | --- | --- | --- | | Tagline | Open-source observability for GenAI and LLM applications based on OpenTelemetry. | An open-source data logging library for ML models and data pipelines. | | Stars | 7,377 | 2,830 | | Forks | 1,047 | 143 | | Open issues | 638 | 4 | | Language | Python | Jupyter Notebook | | Adopt for | - | whylogs is an open-source data logging library that provides detailed data quality monitoring and model performance tracking over time. It supports privacy-preserving data collection to ensure robust and safe operations. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openllmetry](/tools/traceloop-openllmetry.md) | [whylogs](/tools/whylabs-whylogs.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 4d | 568d | | Open issues (now) | 638 | 4 | | Stars delta | +75 (30d) | Unknown | | Open issues delta | +42 (30d) | Unknown | | Full report | [trust report](/tools/traceloop-openllmetry/trust.md) | [trust report](/tools/whylabs-whylogs/trust.md) | ## Shared compatibility - **Python**: [openllmetry](/tools/traceloop-openllmetry.md) - Python runtime; [whylogs](/tools/whylabs-whylogs.md) - Python runtime ## Decision facts: whylogs - **Adopt for:** whylogs is an open-source data logging library that provides detailed data quality monitoring and model performance tracking over time. It supports privacy-preserving data collection to ensure robust and safe operations. ## Choose when ### Choose openllmetry if… - openllmetry is primarily Python; whylogs is Jupyter Notebook. - Tags unique to openllmetry: artifical-intelligence, datascience, generative-ai, good-first-issue. - Use openllmetry when you need observability tools specifically tuned for GenAI and LLM operations integrated with OpenTelemetry. ### Choose whylogs if… - whylogs is primarily Jupyter Notebook; openllmetry is Python. - Tags unique to whylogs: ai-pipelines, analytics, approximate-statistics, calculate-statistics. - whylogs ships Docker support for self-hosted deployment. - When you need comprehensive data visibility to track changes in datasets and model input features for ML systems ## When NOT to use openllmetry - 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. ## When NOT to use whylogs - When limited to using closed-source tools as whylogs is open source under the Apache-2.0 license - In environments where privacy-preserving features are not required or can be handled through other means ## Common questions ### What is the difference between openllmetry and whylogs? openllmetry: Open-source observability for GenAI and LLM applications based on OpenTelemetry.. whylogs: An open-source data logging library for ML models and data pipelines.. See the comparison table for live GitHub stats and shared categories. ### When should I choose openllmetry over whylogs? Choose openllmetry over whylogs when openllmetry is primarily Python; whylogs is Jupyter Notebook; Tags unique to openllmetry: artifical-intelligence, datascience, generative-ai, good-first-issue; Use openllmetry when you need observability tools specifically tuned for GenAI and LLM operations integrated with OpenTelemetry. ### When should I choose whylogs over openllmetry? Choose whylogs over openllmetry when whylogs is primarily Jupyter Notebook; openllmetry is Python; Tags unique to whylogs: ai-pipelines, analytics, approximate-statistics, calculate-statistics; whylogs ships Docker support for self-hosted deployment; When you need comprehensive data visibility to track changes in datasets and model input features for ML systems. ### When should I avoid openllmetry? 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. ### When should I avoid whylogs? When limited to using closed-source tools as whylogs is open source under the Apache-2.0 license In environments where privacy-preserving features are not required or can be handled through other means ### Is openllmetry or whylogs more popular on GitHub? openllmetry has more GitHub stars (7,377 vs 2,830). Stars measure visibility, not whether either tool fits your constraints. ### Are openllmetry and whylogs open source? Yes - both are open-source projects on GitHub (openllmetry: Apache-2.0, whylogs: Apache-2.0). ### Where can I find alternatives to openllmetry or whylogs? GraphCanon lists graph-backed alternatives at [openllmetry alternatives](/tools/traceloop-openllmetry/alternatives) and [whylogs alternatives](/tools/whylabs-whylogs/alternatives) ([openllmetry markdown twin](/tools/traceloop-openllmetry/alternatives.md), [whylogs markdown twin](/tools/whylabs-whylogs/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/traceloop-openllmetry-vs-whylabs-whylogs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, openllmetry or whylogs? openllmetry: Very active. whylogs: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for openllmetry and whylogs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openllmetry trust report](/tools/traceloop-openllmetry/trust); [whylogs trust report](/tools/whylabs-whylogs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=traceloop-openllmetry`](/api/graphcanon/graph?tool=traceloop-openllmetry) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_