Comparison
code-eval vs lighteval
Verdict
Pick code-eval if code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability; pick lighteval if lighteval is designed for evaluating language models across multiple backends. It integrates well with Hugging Face and provides a wide range of extras, making it particularly handy in non-Windows environments.
Markdown twin · code-eval alternatives · lighteval alternatives
GraphCanon updated Oct 6, 2026
Trust & integrity
| Signal | code-eval | lighteval |
|---|---|---|
| Maintenance | Dormant (1120d since push) As of Oct 6, 2026 · github_public_v1 | Active (26d since push) As of Sep 6, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Oct 6, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 6, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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.
- lighteval
- All-in-one toolkit for evaluating LLMs across multiple backends
Stars
- code-eval
- 432
- lighteval
- 2.5k
Forks
- code-eval
- 36
- lighteval
- 552
Open issues
- code-eval
- 5
- lighteval
- 405
Language
- code-eval
- Python
- lighteval
- Python
Adopt for
- code-eval
- code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability.
- lighteval
- Lighteval is designed for evaluating language models across multiple backends. It integrates well with Hugging Face and provides a wide range of extras, making it particularly handy in non-Windows environments.
Persona
- code-eval
- -
- lighteval
- -
Runtime
- code-eval
- -
- lighteval
- -
License
- code-eval
- MIT
- lighteval
- MIT
Last pushed
- code-eval
- Sep 12, 2023
- lighteval
- Aug 11, 2026
Categories
- code-eval
- Evaluation & Observability
- lighteval
- Evaluation & Observability
Trust and health
Maintenance
- code-eval
- Dormant (18%)
- lighteval
- Active (82%)
Days since push
- code-eval
- 1120d
- lighteval
- 26d
Open issues (now)
- code-eval
- 5
- lighteval
- 405
Stars delta
- code-eval
- +1 (30d)
- lighteval
- +27 (30d)
Open issues delta
- code-eval
- 0 (30d)
- lighteval
- +39 (30d)
Owner type
- code-eval
- User
- lighteval
- Organization
OSV dependency advisories
- code-eval
- Published findings
- lighteval
- No lockfile (source not queried)
Full report
- code-eval
- Trust report
- lighteval
- Trust report
Shared compatibility
- Python · code-eval: Python runtime · lighteval: Python runtime
Choose code-eval if…
- Tags unique to code-eval: humaneval, wizardcoder.
- When you need clear comparisons of pass rates for different LLMs using standardized tests
- Leaner open-issue backlog (5).
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 lighteval if…
- Tags unique to lighteval: evaluation, evaluation-framework, evaluation-metrics, huggingface.
- When you need to evaluate the performance of various LLMs on different backend infrastructures, especially if you are working within Mac/Linux environments.
- More GitHub stars (2.5k vs 432) - visibility, not fit.
When NOT to use lighteval
- Avoid Lighteval for evaluations on Windows systems as it is currently untested and not supported there.
- Should you require a solution that does not integrate with or depend on the Hugging Face ecosystem, Lighteval might not fulfill your needs.
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 Oct 6, 2026
- GitHub forks (abacaj/code-eval) · observed Oct 6, 2026
- Last push (abacaj/code-eval) · observed Sep 12, 2023
- License file (MIT) · observed Oct 6, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (huggingface/lighteval) · observed Sep 20, 2026
- GitHub forks (huggingface/lighteval) · observed Sep 20, 2026
- Last push (huggingface/lighteval) · observed Aug 11, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: code-eval 432 · lighteval 2.5k (synced Oct 6, 2026).
Common questions
- What is the difference between code-eval and lighteval?
- code-eval: Run evaluation on LLMs using human-eval benchmark.. lighteval: All-in-one toolkit for evaluating LLMs across multiple backends. See the comparison table for live GitHub stats and shared categories.
- When should I choose code-eval over lighteval?
- Choose code-eval over lighteval when Tags unique to code-eval: humaneval, wizardcoder; When you need clear comparisons of pass rates for different LLMs using standardized tests; Leaner open-issue backlog (5).
- When should I choose lighteval over code-eval?
- Choose lighteval over code-eval when Tags unique to lighteval: evaluation, evaluation-framework, evaluation-metrics, huggingface; When you need to evaluate the performance of various LLMs on different backend infrastructures, especially if you are working within Mac/Linux environments; More GitHub stars (2.5k vs 432) - visibility, not fit.
- 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 lighteval?
- Avoid Lighteval for evaluations on Windows systems as it is currently untested and not supported there. Should you require a solution that does not integrate with or depend on the Hugging Face ecosystem, Lighteval might not fulfill your needs.
- Is code-eval or lighteval more popular on GitHub?
- lighteval has more GitHub stars (2,535 vs 432). Stars measure visibility, not whether either tool fits your constraints.
- Are code-eval and lighteval open source?
- Yes - both are open-source projects on GitHub (code-eval: MIT, lighteval: MIT).
- Where can I find alternatives to code-eval or lighteval?
- GraphCanon lists graph-backed alternatives at code-eval alternatives and lighteval alternatives (code-eval markdown twin, lighteval 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 lighteval?
- code-eval: Dormant. lighteval: 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 lighteval?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: code-eval trust report; lighteval trust report.