--- title: "awesome-evals vs just-eval" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/benchflow-ai-awesome-evals-vs-re-align-just-eval" tools: ["benchflow-ai-awesome-evals", "re-align-just-eval"] --- # awesome-evals vs just-eval *GraphCanon updated Sep 20, 2026* ## Verdict Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick just-eval if just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs. [awesome-evals](https://github.com/benchflow-ai/awesome-evals) reports 900 GitHub stars, 104 forks, and 34 open issues, last pushed Sep 15, 2026. [just-eval](https://allenai.github.io/re-align/) has 90 stars, 7 forks, and 2 open issues, last pushed Jan 29, 2024. Figures are from public GitHub metadata via [awesome-evals's repository](https://github.com/benchflow-ai/awesome-evals) and [just-eval's repository](https://github.com/Re-Align/just-eval). | | [awesome-evals](/tools/benchflow-ai-awesome-evals.md) | [just-eval](/tools/re-align-just-eval.md) | | --- | --- | --- | | Tagline | A curated library of resources for building and evaluating AI agents | A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs. | | Stars | 900 | 90 | | Forks | 104 | 7 | | Open issues | 34 | 2 | | Language | - | Python | | Adopt for | Curated resources for AI agent evaluation with BenchFlow backing its maintenance | just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | 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) | [just-eval](/tools/re-align-just-eval.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 4d | 953d | | Open issues (now) | 34 | 2 | | Stars delta | +139 (30d) | 0 (30d) | | Open issues delta | +13 (30d) | 0 (30d) | | Full report | [trust report](/tools/benchflow-ai-awesome-evals/trust.md) | [trust report](/tools/re-align-just-eval/trust.md) | ## Decision facts: awesome-evals - **Adopt for:** Curated resources for AI agent evaluation with BenchFlow backing its maintenance ## Decision facts: just-eval - **Adopt for:** just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs. ## Choose when ### Choose awesome-evals if… - License: awesome-evals is Other, just-eval is MIT. - 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 just-eval if… - License: just-eval is MIT, awesome-evals is Other. - Tags unique to just-eval: evaluation, gpt4, llm, llm-eval. - When your team requires an in-depth yet interpretable evaluation of LLM performance, focusing on various aspects. ## 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 just-eval - Avoid if direct integration with competing API services is needed as just-eval focuses solely on OpenAI API key configuration. - Not suitable when your project demands a custom evaluation framework that extends beyond simple GPT-based assessments. ## Common questions ### What is the difference between awesome-evals and just-eval? awesome-evals: A curated library of resources for building and evaluating AI agents. just-eval: A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-evals over just-eval? Choose awesome-evals over just-eval when License: awesome-evals is Other, just-eval is MIT; 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 just-eval over awesome-evals? Choose just-eval over awesome-evals when License: just-eval is MIT, awesome-evals is Other; Tags unique to just-eval: evaluation, gpt4, llm, llm-eval; When your team requires an in-depth yet interpretable evaluation of LLM performance, focusing on various aspects. ### 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 just-eval? Avoid if direct integration with competing API services is needed as just-eval focuses solely on OpenAI API key configuration. Not suitable when your project demands a custom evaluation framework that extends beyond simple GPT-based assessments. ### Is awesome-evals or just-eval more popular on GitHub? awesome-evals has more GitHub stars (900 vs 90). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-evals and just-eval open source? Yes - both are open-source projects on GitHub (awesome-evals: Other, just-eval: MIT). ### Where can I find alternatives to awesome-evals or just-eval? GraphCanon lists graph-backed alternatives at [awesome-evals alternatives](/tools/benchflow-ai-awesome-evals/alternatives) and [just-eval alternatives](/tools/re-align-just-eval/alternatives) ([awesome-evals markdown twin](/tools/benchflow-ai-awesome-evals/alternatives.md), [just-eval markdown twin](/tools/re-align-just-eval/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-re-align-just-eval.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-evals or just-eval? awesome-evals: Very active. just-eval: 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 awesome-evals and just-eval? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-evals trust report](/tools/benchflow-ai-awesome-evals/trust); [just-eval trust report](/tools/re-align-just-eval/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/_