--- title: "agent-learning-kit vs zeno" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-agent-learning-kit-vs-zeno-ml-zeno" tools: ["future-agi-agent-learning-kit", "zeno-ml-zeno"] --- # agent-learning-kit vs zeno *GraphCanon updated Aug 3, 2026* ## Verdict 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; pick zeno if zeno combines Python API with an interactive UI for evaluating ML models across various tasks. [agent-learning-kit](https://futureagi.com) reports 118 GitHub stars, 43 forks, and 6 open issues, last pushed Aug 1, 2026. [zeno](https://zenoml.com) has 214 stars, 11 forks, and 45 open issues, last pushed Oct 5, 2023. Figures are from public GitHub metadata via [agent-learning-kit's repository](https://github.com/future-agi/agent-learning-kit) and [zeno's repository](https://github.com/zeno-ml/zeno). | | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) | [zeno](/tools/zeno-ml-zeno.md) | | --- | --- | --- | | Tagline | Evaluation Framework for all your AI related Workflows | AI Data Management & Evaluation Platform | | Stars | 118 | 214 | | Forks | 43 | 11 | | Open issues | 6 | 45 | | Language | Python | Svelte | | 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. | Zeno combines Python API with an interactive UI for evaluating ML models across various tasks. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) | [zeno](/tools/zeno-ml-zeno.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 0d | 1032d | | Archived on GitHub | No | Yes | | Open issues (now) | 6 | 45 | | Full report | [trust report](/tools/future-agi-agent-learning-kit/trust.md) | [trust report](/tools/zeno-ml-zeno/trust.md) | ## Shared compatibility - **Python**: [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) - Python runtime; [zeno](/tools/zeno-ml-zeno.md) - Python runtime ## 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. ## Decision facts: zeno - **Adopt for:** Zeno combines Python API with an interactive UI for evaluating ML models across various tasks. ## Choose when ### Choose agent-learning-kit if… - agent-learning-kit is primarily Python; zeno is Svelte. - License: agent-learning-kit is Apache-2.0, zeno is MIT. - 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. ### Choose zeno if… - zeno is primarily Svelte; agent-learning-kit is Python. - License: zeno is MIT, agent-learning-kit is Apache-2.0. - Tags unique to zeno: ai, data-science, evaluation-framework, machine-learning. - You need to analyze model performance interactively via a user interface ## 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. ## When NOT to use zeno - Your project requires real-time monitoring capabilities not provided by Zeno's evaluation framework - If you are looking for a specialized tool tailored only to specific data types, like just images or text without the modular versatility of Zeno ## Common questions ### What is the difference between agent-learning-kit and zeno? agent-learning-kit: Evaluation Framework for all your AI related Workflows. zeno: AI Data Management & Evaluation Platform. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-learning-kit over zeno? Choose agent-learning-kit over zeno when agent-learning-kit is primarily Python; zeno is Svelte; License: agent-learning-kit is Apache-2.0, zeno is MIT; 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. ### When should I choose zeno over agent-learning-kit? Choose zeno over agent-learning-kit when zeno is primarily Svelte; agent-learning-kit is Python; License: zeno is MIT, agent-learning-kit is Apache-2.0; Tags unique to zeno: ai, data-science, evaluation-framework, machine-learning; You need to analyze model performance interactively via a user interface. ### 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. ### When should I avoid zeno? Your project requires real-time monitoring capabilities not provided by Zeno's evaluation framework If you are looking for a specialized tool tailored only to specific data types, like just images or text without the modular versatility of Zeno ### Is agent-learning-kit or zeno more popular on GitHub? zeno has more GitHub stars (214 vs 118). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-learning-kit and zeno open source? Yes - both are open-source projects on GitHub (agent-learning-kit: Apache-2.0, zeno: MIT). ### Where can I find alternatives to agent-learning-kit or zeno? GraphCanon lists graph-backed alternatives at [agent-learning-kit alternatives](/tools/future-agi-agent-learning-kit/alternatives) and [zeno alternatives](/tools/zeno-ml-zeno/alternatives) ([agent-learning-kit markdown twin](/tools/future-agi-agent-learning-kit/alternatives.md), [zeno markdown twin](/tools/zeno-ml-zeno/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/future-agi-agent-learning-kit-vs-zeno-ml-zeno.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-learning-kit or zeno? agent-learning-kit: Very active. zeno: 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 agent-learning-kit and zeno? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-learning-kit trust report](/tools/future-agi-agent-learning-kit/trust); [zeno trust report](/tools/zeno-ml-zeno/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=future-agi-agent-learning-kit`](/api/graphcanon/graph?tool=future-agi-agent-learning-kit) - 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/_