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Comparison

agent-learning-kit vs evals

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 evals if evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom evaluations.

Markdown twin · agent-learning-kit alternatives · evals alternatives

GraphCanon updated 1w

agent-learning-kit logo

agent-learning-kit

future-agi/agent-learning-kit

★ 118pushed Aug 1, 2026
vs
evals logo

evals

openai/evals

★ 19kpushed Apr 14, 2026

Trust & integrity

Signalagent-learning-kitevals
Maintenance
Very active (0d since push)
As of 2w · github_public_v1
Slowing (115d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 1w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
agent-learning-kit trust reportevals trust reportTrust methodology

Tagline

agent-learning-kit
Evaluation Framework for all your AI related Workflows
evals
Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks.

Stars

agent-learning-kit
118
evals
19k

Forks

agent-learning-kit
43
evals
3.0k

Open issues

agent-learning-kit
6
evals
213

Language

agent-learning-kit
Python
evals
Python

Adopt for

agent-learning-kit
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.
evals
Evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom evaluations.

Persona

agent-learning-kit
-
evals
-

Runtime

agent-learning-kit
-
evals
-

License

agent-learning-kit
Apache-2.0
evals
Other

Last pushed

agent-learning-kit
Aug 1, 2026
evals
Apr 14, 2026

Categories

agent-learning-kit
Evaluation & Observability
evals
Evaluation & Observability

Trust and health

Maintenance

agent-learning-kit
Very active (96%)
evals
Slowing (36%)

Days since push

agent-learning-kit
0d
evals
115d

Open issues (now)

agent-learning-kit
6
evals
213

Full report

agent-learning-kit
Trust report
evals
Trust report

Shared compatibility

  • Python · agent-learning-kit: Python runtime · evals: Python runtime

Choose agent-learning-kit if…

  • License: agent-learning-kit is Apache-2.0, evals is Other.
  • 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 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.
GitHubDetails

Choose evals if…

  • License: evals is Other, agent-learning-kit is Apache-2.0.
  • Tags unique to evals: benchmarking, custom eval creation, evaluation-framework, large language models.
  • * When you need a comprehensive set of pre-existing evals and the ability to create your own tailored tests using specific use cases, especially within the OpenAI model ecosystem.

When NOT to use evals

  • * When evaluating models or systems that do not benefit from being integrated with the OpenAI API, as some features like direct evals configuration in the OpenAI Dashboard require an OpenAI key.
  • * If you are looking for an evaluation framework that doesn’t involve external dependencies such as Git Large File Storage (LFS) and specific Python version requirements (Python 3.9 minimum), or if a
GitHubDetails

Explore

agent-learning-kit trust report →evals trust report →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agent-learning-kit 118 · evals 19k (synced Aug 1, 2026).

Common questions

What is the difference between agent-learning-kit and evals?
agent-learning-kit: Evaluation Framework for all your AI related Workflows. evals: Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks.. See the comparison table for live GitHub stats and shared categories.
When should I choose agent-learning-kit over evals?
Choose agent-learning-kit over evals when License: agent-learning-kit is Apache-2.0, evals is Other; 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 evals over agent-learning-kit?
Choose evals over agent-learning-kit when License: evals is Other, agent-learning-kit is Apache-2.0; Tags unique to evals: benchmarking, custom eval creation, evaluation-framework, large language models; * When you need a comprehensive set of pre-existing evals and the ability to create your own tailored tests using specific use cases, especially within the OpenAI model ecosystem.
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 evals?
* When evaluating models or systems that do not benefit from being integrated with the OpenAI API, as some features like direct evals configuration in the OpenAI Dashboard require an OpenAI key. * If you are looking for an evaluation framework that doesn’t involve external dependencies such as Git Large File Storage (LFS) and specific Python version requirements (Python 3.9 minimum), or if a
Is agent-learning-kit or evals more popular on GitHub?
evals has more GitHub stars (19,127 vs 118). Stars measure visibility, not whether either tool fits your constraints.
Are agent-learning-kit and evals open source?
Yes - both are open-source projects on GitHub (agent-learning-kit: Apache-2.0, evals: Other).
Where can I find alternatives to agent-learning-kit or evals?
GraphCanon lists graph-backed alternatives at agent-learning-kit alternatives and evals alternatives (agent-learning-kit markdown twin, evals markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, agent-learning-kit or evals?
agent-learning-kit: Very active. evals: Slowing. 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 evals?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-learning-kit trust report; evals trust report.

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