--- title: "lmnr vs whylogs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lmnr-ai-lmnr-vs-whylabs-whylogs" tools: ["lmnr-ai-lmnr", "whylabs-whylogs"] --- # lmnr vs whylogs *GraphCanon updated Aug 20, 2026* ## Verdict Pick lmnr if lmnr is an open-source observability platform specifically aimed at monitoring AI agents, offering both self-hosting and managed platform options; pick whylogs if 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. [lmnr](https://laminar.sh) reports 3.2k GitHub stars, 223 forks, and 111 open issues, last pushed Aug 20, 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 [lmnr's repository](https://github.com/lmnr-ai/lmnr) and [whylogs's repository](https://github.com/whylabs/whylogs). | | [lmnr](/tools/lmnr-ai-lmnr.md) | [whylogs](/tools/whylabs-whylogs.md) | | --- | --- | --- | | Tagline | Open-source observability platform for AI agents. | An open-source data logging library for ML models and data pipelines. | | Stars | 3,183 | 2,830 | | Forks | 223 | 143 | | Open issues | 111 | 4 | | Language | TypeScript | Jupyter Notebook | | Adopt for | lmnr is an open-source observability platform specifically aimed at monitoring AI agents, offering both self-hosting and managed platform options. | 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 | Developer Tools, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lmnr](/tools/lmnr-ai-lmnr.md) | [whylogs](/tools/whylabs-whylogs.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 568d | | Open issues (now) | 111 | 4 | | Stars delta | +80 (30d) | Unknown | | Open issues delta | +14 (30d) | Unknown | | Full report | [trust report](/tools/lmnr-ai-lmnr/trust.md) | [trust report](/tools/whylabs-whylogs/trust.md) | ## Decision facts: lmnr - **Hosting:** self hosted - Supports self-hosting through Docker Compose, making it accessible to local environments or lightweight usage; however, recommends a managed platform option for production environments. - **Requirements:** Proper SDK configuration is critical when self-hosting.; Managed platform may be more suitable if setting up in a production environment. - **Adopt for:** lmnr is an open-source observability platform specifically aimed at monitoring AI agents, offering both self-hosting and managed platform options. - **License detail:** Apache-2.0 ## 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 lmnr if… - lmnr is primarily TypeScript; whylogs is Jupyter Notebook. - Supports self-hosting through Docker Compose, making it accessible to local environments or lightweight usage; however, recommends a managed platform option for production environments. - Requirements: Proper SDK configuration is critical when self-hosting.; Managed platform may be more suitable if setting up in a production environment.. - Tags unique to lmnr: agent-observability, ai-observability, evaluation, llm-evaluation. - Also covers Developer Tools. - When you need a dedicated solution for evaluating the performance and behavior of AI agents. ### Choose whylogs if… - whylogs is primarily Jupyter Notebook; lmnr is TypeScript. - Tags unique to whylogs: ai-pipelines, analytics, approximate-statistics, calculate-statistics. - When you need comprehensive data visibility to track changes in datasets and model input features for ML systems ## When NOT to use lmnr - When your primary observability needs are not specific to AI agents but cover a broader range of application monitoring services. - For those preferring platforms with wider language support beyond TypeScript and Rust (the major languages highlighted for this tool). ## 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 lmnr and whylogs? lmnr: Open-source observability platform for AI agents.. 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 lmnr over whylogs? Choose lmnr over whylogs when lmnr is primarily TypeScript; whylogs is Jupyter Notebook; Supports self-hosting through Docker Compose, making it accessible to local environments or lightweight usage; however, recommends a managed platform option for production environments; Requirements: Proper SDK configuration is critical when self-hosting.; Managed platform may be more suitable if setting up in a production environment.; Tags unique to lmnr: agent-observability, ai-observability, evaluation, llm-evaluation; Also covers Developer Tools; When you need a dedicated solution for evaluating the performance and behavior of AI agents. ### When should I choose whylogs over lmnr? Choose whylogs over lmnr when whylogs is primarily Jupyter Notebook; lmnr is TypeScript; Tags unique to whylogs: ai-pipelines, analytics, approximate-statistics, calculate-statistics; When you need comprehensive data visibility to track changes in datasets and model input features for ML systems. ### When should I avoid lmnr? When your primary observability needs are not specific to AI agents but cover a broader range of application monitoring services. For those preferring platforms with wider language support beyond TypeScript and Rust (the major languages highlighted for this tool). ### 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 lmnr or whylogs more popular on GitHub? lmnr has more GitHub stars (3,183 vs 2,830). Stars measure visibility, not whether either tool fits your constraints. ### Are lmnr and whylogs open source? Yes - both are open-source projects on GitHub (lmnr: Apache-2.0, whylogs: Apache-2.0). ### Where can I find alternatives to lmnr or whylogs? GraphCanon lists graph-backed alternatives at [lmnr alternatives](/tools/lmnr-ai-lmnr/alternatives) and [whylogs alternatives](/tools/whylabs-whylogs/alternatives) ([lmnr markdown twin](/tools/lmnr-ai-lmnr/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/lmnr-ai-lmnr-vs-whylabs-whylogs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, lmnr or whylogs? lmnr: 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 lmnr and whylogs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lmnr trust report](/tools/lmnr-ai-lmnr/trust); [whylogs trust report](/tools/whylabs-whylogs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lmnr-ai-lmnr`](/api/graphcanon/graph?tool=lmnr-ai-lmnr) - 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/_