Comparison
code-eval vs evals
Verdict
Pick code-eval if code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability; 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 · code-eval alternatives · evals alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | code-eval | evals |
|---|---|---|
| Maintenance | Dormant (1058d since push) As of 2w · github_public_v1 | Slowing (115d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 1w · 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 |
Tagline
- code-eval
- Run evaluation on LLMs using human-eval benchmark.
- evals
- Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks.
Stars
- code-eval
- 431
- evals
- 19k
Forks
- code-eval
- 37
- evals
- 3.0k
Open issues
- code-eval
- 5
- evals
- 213
Language
- code-eval
- Python
- evals
- Python
Adopt for
- code-eval
- code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability.
- 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
- code-eval
- -
- evals
- -
Runtime
- code-eval
- -
- evals
- -
License
- code-eval
- MIT
- evals
- Other
Last pushed
- code-eval
- Sep 12, 2023
- evals
- Apr 14, 2026
Categories
- code-eval
- Evaluation & Observability
- evals
- Evaluation & Observability
Trust and health
Maintenance
- code-eval
- Dormant (18%)
- evals
- Slowing (36%)
Days since push
- code-eval
- 1058d
- evals
- 115d
Open issues (now)
- code-eval
- 5
- evals
- 213
Owner type
- code-eval
- User
- evals
- Organization
OSV dependency advisories
- code-eval
- Published findings
- evals
- No lockfile (source not queried)
Full report
- code-eval
- Trust report
- evals
- Trust report
Shared compatibility
- Python · code-eval: Python runtime · evals: Python runtime
Choose code-eval if…
- License: code-eval is MIT, evals is Other.
- 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
Choose evals if…
- License: evals is Other, code-eval is MIT.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (abacaj/code-eval) · observed Aug 5, 2026
- GitHub forks (abacaj/code-eval) · observed Aug 5, 2026
- Last push (abacaj/code-eval) · observed Sep 12, 2023
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (openai/evals) · observed Aug 7, 2026
- GitHub forks (openai/evals) · observed Aug 7, 2026
- Last push (openai/evals) · observed Apr 14, 2026
- License file (Other) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: code-eval 431 · evals 19k (synced Aug 5, 2026).
Common questions
- What is the difference between code-eval and evals?
- code-eval: Run evaluation on LLMs using human-eval benchmark.. 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 code-eval over evals?
- Choose code-eval over evals when License: code-eval is MIT, evals is Other; 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 evals over code-eval?
- Choose evals over code-eval when License: evals is Other, code-eval is MIT; 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 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 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 code-eval or evals more popular on GitHub?
- evals has more GitHub stars (19,127 vs 431). Stars measure visibility, not whether either tool fits your constraints.
- Are code-eval and evals open source?
- Yes - both are open-source projects on GitHub (code-eval: MIT, evals: Other).
- Where can I find alternatives to code-eval or evals?
- GraphCanon lists graph-backed alternatives at code-eval alternatives and evals alternatives (code-eval 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, code-eval or evals?
- code-eval: Dormant. 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 code-eval and evals?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: code-eval trust report; evals trust report.