--- title: "evalplus vs agent-learning-kit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/evalplus-evalplus-vs-future-agi-agent-learning-kit" tools: ["evalplus-evalplus", "future-agi-agent-learning-kit"] --- # evalplus vs agent-learning-kit *GraphCanon updated Aug 5, 2026* ## Verdict Pick evalplus if evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license; pick agent-learning-kit if agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB. [evalplus](https://evalplus.github.io) reports 1.8k GitHub stars, 205 forks, and 71 open issues, last pushed Oct 2, 2025. [agent-learning-kit](https://futureagi.com) has 118 stars, 43 forks, and 6 open issues, last pushed Aug 1, 2026. Figures are from public GitHub metadata via [evalplus's repository](https://github.com/evalplus/evalplus) and [agent-learning-kit's repository](https://github.com/future-agi/agent-learning-kit). | | [evalplus](/tools/evalplus-evalplus.md) | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) | | --- | --- | --- | | Tagline | Rigorous evaluation of LLM-synthesized code | Evaluation Framework for all your AI related Workflows | | Stars | 1,794 | 118 | | Forks | 205 | 43 | | Open issues | 71 | 6 | | Language | Python | Python | | Adopt for | evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license. | Agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB. | | 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._ | | [evalplus](/tools/evalplus-evalplus.md) | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 306d | 0d | | Open issues (now) | 71 | 6 | | Full report | [trust report](/tools/evalplus-evalplus/trust.md) | [trust report](/tools/future-agi-agent-learning-kit/trust.md) | ## Shared compatibility - **Python**: [evalplus](/tools/evalplus-evalplus.md) - Python runtime; [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) - Python runtime ## Decision facts: evalplus - **Adopt for:** evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license. ## Decision facts: agent-learning-kit - **Adopt for:** Agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB. ## Choose when ### Choose evalplus if… - Tags unique to evalplus: benchmark, chatgpt, efficiency, program-synthesis. - evalplus ships Docker support for self-hosted deployment. - When you need advanced benchmarks specific to large language model generated program synthesis, such as from GPT-4 or ChatGPT. ### Choose agent-learning-kit if… - Tags unique to agent-learning-kit: ai-agents, ci-cd, evaluation, ml. - When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed. - More recently updated (last pushed Aug 1, 2026). ## When NOT to use evalplus - Avoid if you require broad language model benchmarking that is not specifically focused on program synthesis capabilities. - Do not use evalplus if your project does not benefit from or need Docker-based isolation for code execution safety measures, such as in controlled lab environments without external dependencies. ## When NOT to use agent-learning-kit - If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit. - When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB. ## Common questions ### What is the difference between evalplus and agent-learning-kit? evalplus: Rigorous evaluation of LLM-synthesized code. agent-learning-kit: Evaluation Framework for all your AI related Workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose evalplus over agent-learning-kit? Choose evalplus over agent-learning-kit when Tags unique to evalplus: benchmark, chatgpt, efficiency, program-synthesis; evalplus ships Docker support for self-hosted deployment; When you need advanced benchmarks specific to large language model generated program synthesis, such as from GPT-4 or ChatGPT. ### When should I choose agent-learning-kit over evalplus? Choose agent-learning-kit over evalplus when Tags unique to agent-learning-kit: ai-agents, ci-cd, evaluation, ml; When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed; More recently updated (last pushed Aug 1, 2026). ### When should I avoid evalplus? Avoid if you require broad language model benchmarking that is not specifically focused on program synthesis capabilities. Do not use evalplus if your project does not benefit from or need Docker-based isolation for code execution safety measures, such as in controlled lab environments without external dependencies. ### When should I avoid agent-learning-kit? If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit. When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB. ### Is evalplus or agent-learning-kit more popular on GitHub? evalplus has more GitHub stars (1,794 vs 118). Stars measure visibility, not whether either tool fits your constraints. ### Are evalplus and agent-learning-kit open source? Yes - both are open-source projects on GitHub (evalplus: Apache-2.0, agent-learning-kit: Apache-2.0). ### Where can I find alternatives to evalplus or agent-learning-kit? GraphCanon lists graph-backed alternatives at [evalplus alternatives](/tools/evalplus-evalplus/alternatives) and [agent-learning-kit alternatives](/tools/future-agi-agent-learning-kit/alternatives) ([evalplus markdown twin](/tools/evalplus-evalplus/alternatives.md), [agent-learning-kit markdown twin](/tools/future-agi-agent-learning-kit/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/evalplus-evalplus-vs-future-agi-agent-learning-kit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, evalplus or agent-learning-kit? evalplus: Slowing. agent-learning-kit: Very active. 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 evalplus and agent-learning-kit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [evalplus trust report](/tools/evalplus-evalplus/trust); [agent-learning-kit trust report](/tools/future-agi-agent-learning-kit/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=evalplus-evalplus`](/api/graphcanon/graph?tool=evalplus-evalplus) - 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/_