--- title: "athina-evals vs langkit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/athina-ai-athina-evals-vs-whylabs-langkit" tools: ["athina-ai-athina-evals", "whylabs-langkit"] --- # athina-evals vs langkit *GraphCanon updated Sep 20, 2026* ## Verdict Pick athina-evals if athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks; pick langkit if langKit is an open-source toolkit for monitoring Large Language Models (LLMs), offering features such as text quality, relevance metrics, and sentiment analysis to ensure safety and security. [athina-evals](https://docs.athina.ai) reports 301 GitHub stars, 22 forks, and 4 open issues, last pushed Jun 6, 2025. [langkit](https://whylabs.ai) has 997 stars, 74 forks, and 37 open issues, last pushed Nov 22, 2024. Figures are from public GitHub metadata via [athina-evals's repository](https://github.com/athina-ai/athina-evals) and [langkit's repository](https://github.com/whylabs/langkit). | | [athina-evals](/tools/athina-ai-athina-evals.md) | [langkit](/tools/whylabs-langkit.md) | | --- | --- | --- | | Tagline | Python SDK for evaluating LLM generated responses | An open-source toolkit for monitoring Large Language Models (LLMs) | | Stars | 301 | 997 | | Forks | 22 | 74 | | Open issues | 4 | 37 | | Language | Python | Jupyter Notebook | | Adopt for | athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks. | LangKit is an open-source toolkit for monitoring Large Language Models (LLMs), offering features such as text quality, relevance metrics, and sentiment analysis to ensure safety and security. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [athina-evals](/tools/athina-ai-athina-evals.md) | [langkit](/tools/whylabs-langkit.md) | | --- | --- | --- | | Days since push | 470d | 664d | | Open issues (now) | 4 | 37 | | Stars delta | 0 (30d) | +3 (30d) | | Open issues delta | +1 (30d) | 0 (30d) | | Full report | [trust report](/tools/athina-ai-athina-evals/trust.md) | [trust report](/tools/whylabs-langkit/trust.md) | ## Decision facts: athina-evals - **Adopt for:** athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks. ## Decision facts: langkit - **Adopt for:** LangKit is an open-source toolkit for monitoring Large Language Models (LLMs), offering features such as text quality, relevance metrics, and sentiment analysis to ensure safety and security. ## Choose when ### Choose athina-evals if… - athina-evals is primarily Python; langkit is Jupyter Notebook. - Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval. - When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics ### Choose langkit if… - langkit is primarily Jupyter Notebook; athina-evals is Python. - Tags unique to langkit: large-language-models, machine-learning, nlg, nlp. - Use LangKit when you need a comprehensive toolkit for monitoring LLMs that includes text quality and relevance metrics, as well as sentiment analysis. ## When NOT to use athina-evals - If open-source alternatives with transparent customization options are preferred over athina-evals' approach - In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments ## When NOT to use langkit - Avoid LangKit if you are looking for a tool that supports languages other than Python, as it is specifically designed for use with Jupyter Notebooks. - Do not use LangKit if your project requires proprietary licensing, as it is released under the open-source Apache-2.0 license. ## Common questions ### What is the difference between athina-evals and langkit? athina-evals: Python SDK for evaluating LLM generated responses. langkit: An open-source toolkit for monitoring Large Language Models (LLMs). See the comparison table for live GitHub stats and shared categories. ### When should I choose athina-evals over langkit? Choose athina-evals over langkit when athina-evals is primarily Python; langkit is Jupyter Notebook; Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics. ### When should I choose langkit over athina-evals? Choose langkit over athina-evals when langkit is primarily Jupyter Notebook; athina-evals is Python; Tags unique to langkit: large-language-models, machine-learning, nlg, nlp; Use LangKit when you need a comprehensive toolkit for monitoring LLMs that includes text quality and relevance metrics, as well as sentiment analysis. ### When should I avoid athina-evals? If open-source alternatives with transparent customization options are preferred over athina-evals' approach In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments ### When should I avoid langkit? Avoid LangKit if you are looking for a tool that supports languages other than Python, as it is specifically designed for use with Jupyter Notebooks. Do not use LangKit if your project requires proprietary licensing, as it is released under the open-source Apache-2.0 license. ### Is athina-evals or langkit more popular on GitHub? langkit has more GitHub stars (997 vs 301). Stars measure visibility, not whether either tool fits your constraints. ### Are athina-evals and langkit open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to athina-evals or langkit? GraphCanon lists graph-backed alternatives at [athina-evals alternatives](/tools/athina-ai-athina-evals/alternatives) and [langkit alternatives](/tools/whylabs-langkit/alternatives) ([athina-evals markdown twin](/tools/athina-ai-athina-evals/alternatives.md), [langkit markdown twin](/tools/whylabs-langkit/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/athina-ai-athina-evals-vs-whylabs-langkit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, athina-evals or langkit? athina-evals: Dormant. langkit: 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 athina-evals and langkit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [athina-evals trust report](/tools/athina-ai-athina-evals/trust); [langkit trust report](/tools/whylabs-langkit/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=athina-ai-athina-evals`](/api/graphcanon/graph?tool=athina-ai-athina-evals) - 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/_