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Comparison

code-eval vs agent-learning-kit

Verdict

Pick code-eval if code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability; 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.

Markdown twin · code-eval alternatives · agent-learning-kit alternatives

GraphCanon updated 2w

code-eval logo

code-eval

abacaj/code-eval

★ 431pushed Sep 12, 2023
vs
agent-learning-kit logo

agent-learning-kit

future-agi/agent-learning-kit

★ 118pushed Aug 1, 2026

Trust & integrity

Signalcode-evalagent-learning-kit
Maintenance
Dormant (1058d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
Published findings
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
code-eval trust reportagent-learning-kit trust reportTrust methodology

Tagline

code-eval
Run evaluation on LLMs using human-eval benchmark.
agent-learning-kit
Evaluation Framework for all your AI related Workflows

Stars

code-eval
431
agent-learning-kit
118

Forks

code-eval
37
agent-learning-kit
43

Open issues

code-eval
5
agent-learning-kit
6

Language

code-eval
Python
agent-learning-kit
Python

Adopt for

code-eval
code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability.
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.

Persona

code-eval
-
agent-learning-kit
-

Runtime

code-eval
-
agent-learning-kit
-

License

code-eval
MIT
agent-learning-kit
Apache-2.0

Last pushed

code-eval
Sep 12, 2023
agent-learning-kit
Aug 1, 2026

Categories

code-eval
Evaluation & Observability
agent-learning-kit
Evaluation & Observability

Trust and health

Maintenance

code-eval
Dormant (18%)
agent-learning-kit
Very active (96%)

Days since push

code-eval
1058d
agent-learning-kit
0d

Open issues (now)

code-eval
5
agent-learning-kit
6

Owner type

code-eval
User
agent-learning-kit
Organization

OSV dependency advisories

code-eval
Published findings
agent-learning-kit
No lockfile (source not queried)

Full report

code-eval
Trust report
agent-learning-kit
Trust report

Shared compatibility

  • Python · code-eval: Python runtime · agent-learning-kit: Python runtime

Choose code-eval if…

  • License: code-eval is MIT, agent-learning-kit is Apache-2.0.
  • Tags unique to code-eval: humaneval, wizardcoder.
  • When you need clear comparisons of pass rates for different LLMs using standardized tests

When NOT to use code-eval

  • If the tool's results do not correlate well with the official published benchmarks due to unknown prompt differences
  • For real-time or dynamic evaluations as this repo offers pre-computed static results only
GitHubDetails

Choose agent-learning-kit if…

  • License: agent-learning-kit is Apache-2.0, code-eval 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 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

Explore

code-eval trust report →agent-learning-kit 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: code-eval 431 · agent-learning-kit 118 (synced Aug 5, 2026).

Common questions

What is the difference between code-eval and agent-learning-kit?
code-eval: Run evaluation on LLMs using human-eval benchmark.. 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 code-eval over agent-learning-kit?
Choose code-eval over agent-learning-kit when License: code-eval is MIT, agent-learning-kit is Apache-2.0; Tags unique to code-eval: humaneval, wizardcoder; When you need clear comparisons of pass rates for different LLMs using standardized tests.
When should I choose agent-learning-kit over code-eval?
Choose agent-learning-kit over code-eval when License: agent-learning-kit is Apache-2.0, code-eval 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 avoid code-eval?
If the tool's results do not correlate well with the official published benchmarks due to unknown prompt differences For real-time or dynamic evaluations as this repo offers pre-computed static results only
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 code-eval or agent-learning-kit more popular on GitHub?
code-eval has more GitHub stars (431 vs 118). Stars measure visibility, not whether either tool fits your constraints.
Are code-eval and agent-learning-kit open source?
Yes - both are open-source projects on GitHub (code-eval: MIT, agent-learning-kit: Apache-2.0).
Where can I find alternatives to code-eval or agent-learning-kit?
GraphCanon lists graph-backed alternatives at code-eval alternatives and agent-learning-kit alternatives (code-eval markdown twin, agent-learning-kit 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, code-eval or agent-learning-kit?
code-eval: Dormant. 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 code-eval and agent-learning-kit?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: code-eval trust report; agent-learning-kit trust report.

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