--- title: "awesome-evals vs langevals" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/benchflow-ai-awesome-evals-vs-langwatch-langevals" tools: ["benchflow-ai-awesome-evals", "langwatch-langevals"] --- # awesome-evals vs langevals *GraphCanon updated Sep 20, 2026* ## Verdict Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick langevals if langEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect large language models with ease. [awesome-evals](https://github.com/benchflow-ai/awesome-evals) reports 900 GitHub stars, 104 forks, and 34 open issues, last pushed Sep 15, 2026. [langevals](https://langwatch.ai/) has 72 stars, 10 forks, and 0 open issues, last pushed Feb 15, 2026. Figures are from public GitHub metadata via [awesome-evals's repository](https://github.com/benchflow-ai/awesome-evals) and [langevals's repository](https://github.com/langwatch/langevals). | | [awesome-evals](/tools/benchflow-ai-awesome-evals.md) | [langevals](/tools/langwatch-langevals.md) | | --- | --- | --- | | Tagline | A curated library of resources for building and evaluating AI agents | Provides a platform for evaluating and benchmarking LLM models using various evaluators | | Stars | 900 | 72 | | Forks | 104 | 10 | | Open issues | 34 | 0 | | Language | - | - | | Adopt for | Curated resources for AI agent evaluation with BenchFlow backing its maintenance | LangEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect large language models with ease. | | Persona | - | - | | Runtime | - | - | | License | Other | - | | Categories | AI Agents, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-evals](/tools/benchflow-ai-awesome-evals.md) | [langevals](/tools/langwatch-langevals.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 4d | 209d | | Archived on GitHub | No | Yes | | Open issues (now) | 34 | 0 | | Stars delta | +139 (30d) | 0 (30d) | | Open issues delta | +13 (30d) | -18 (30d) | | Full report | [trust report](/tools/benchflow-ai-awesome-evals/trust.md) | [trust report](/tools/langwatch-langevals/trust.md) | ## Decision facts: awesome-evals - **Adopt for:** Curated resources for AI agent evaluation with BenchFlow backing its maintenance ## Decision facts: langevals - **Pricing:** unknown - **Adopt for:** LangEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect large language models with ease. ## Choose when ### Choose awesome-evals if… - Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks. - Also covers AI Agents. - Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation ### Choose langevals if… - Tags unique to langevals: evaluation, guardrails, llm, openai. - When you need a singular point of access to multiple LLM evaluation tools - Leaner open-issue backlog (0). ## When NOT to use awesome-evals - Require real-time interactive support or direct tool integrations not covered by a static resource list - Seeking proprietary tools from specific vendors rather than open resources and community content ## When NOT to use langevals - If you prefer not having a dependency on LangEvals after it has been moved into the LangWatch monorepo, opting for directly managing individual evaluators could be a better option - When needing to customize evaluation processes extensively beyond what the provided standard interface allows ## Common questions ### What is the difference between awesome-evals and langevals? awesome-evals: A curated library of resources for building and evaluating AI agents. langevals: Provides a platform for evaluating and benchmarking LLM models using various evaluators. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-evals over langevals? Choose awesome-evals over langevals when Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks; Also covers AI Agents; Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation. ### When should I choose langevals over awesome-evals? Choose langevals over awesome-evals when Tags unique to langevals: evaluation, guardrails, llm, openai; When you need a singular point of access to multiple LLM evaluation tools; Leaner open-issue backlog (0). ### When should I avoid awesome-evals? Require real-time interactive support or direct tool integrations not covered by a static resource list Seeking proprietary tools from specific vendors rather than open resources and community content ### When should I avoid langevals? If you prefer not having a dependency on LangEvals after it has been moved into the LangWatch monorepo, opting for directly managing individual evaluators could be a better option When needing to customize evaluation processes extensively beyond what the provided standard interface allows ### Is awesome-evals or langevals more popular on GitHub? awesome-evals has more GitHub stars (900 vs 72). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-evals and langevals open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-evals or langevals? GraphCanon lists graph-backed alternatives at [awesome-evals alternatives](/tools/benchflow-ai-awesome-evals/alternatives) and [langevals alternatives](/tools/langwatch-langevals/alternatives) ([awesome-evals markdown twin](/tools/benchflow-ai-awesome-evals/alternatives.md), [langevals markdown twin](/tools/langwatch-langevals/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/benchflow-ai-awesome-evals-vs-langwatch-langevals.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-evals or langevals? awesome-evals: Very active. langevals: Archived. 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 awesome-evals and langevals? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-evals trust report](/tools/benchflow-ai-awesome-evals/trust); [langevals trust report](/tools/langwatch-langevals/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=benchflow-ai-awesome-evals`](/api/graphcanon/graph?tool=benchflow-ai-awesome-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/_