Home/Compare/bigcode-evaluation-harness vs lighteval

Comparison

bigcode-evaluation-harness vs lighteval

Verdict

Pick bigcode-evaluation-harness if bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments; 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 · bigcode-evaluation-harness alternatives · lighteval alternatives

GraphCanon updated 2w

bigcode-evaluation-harness logo

bigcode-evaluation-harness

bigcode-project/bigcode-evaluation-harness

1.1kpushed Jul 22, 2025
vs
lighteval logo

lighteval

huggingface/lighteval

2.5kpushed Jun 29, 2026

Trust & integrity

Signalbigcode-evaluation-harnesslighteval
Maintenance
Dormant (378d since push)
As of 2w · github_public_v1
Steady (38d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · 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

bigcode-evaluation-harness
A framework for evaluating autoregressive code generation language models.
lighteval
All-in-one toolkit for evaluating LLMs across multiple backends

Stars

bigcode-evaluation-harness
1.1k
lighteval
2.5k

Forks

bigcode-evaluation-harness
261
lighteval
523

Open issues

bigcode-evaluation-harness
96
lighteval
366

Language

bigcode-evaluation-harness
Python
lighteval
Python

Adopt for

bigcode-evaluation-harness
bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments.
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

bigcode-evaluation-harness
-
lighteval
-

Runtime

bigcode-evaluation-harness
-
lighteval
-

License

bigcode-evaluation-harness
bigcode-evaluation-harness is distributed under the Apache-2.0 license.
lighteval
MIT

Last pushed

bigcode-evaluation-harness
Jul 22, 2025
lighteval
Jun 29, 2026

Categories

bigcode-evaluation-harness
Evaluation & Observability
lighteval
Evaluation & Observability

Trust and health

Maintenance

bigcode-evaluation-harness
Dormant (18%)
lighteval
Steady (60%)

Days since push

bigcode-evaluation-harness
378d
lighteval
38d

Open issues (now)

bigcode-evaluation-harness
96
lighteval
366

OSV dependency advisories

bigcode-evaluation-harness
Published findings
lighteval
No lockfile (source not queried)

Full report

bigcode-evaluation-harness
Trust report
lighteval
Trust report

Choose bigcode-evaluation-harness if…

  • License: bigcode-evaluation-harness is Apache-2.0, lighteval is MIT.
  • Requirements: Users must have Docker installed to leverage the isolated execution environments for model output evaluation..
  • Tags unique to bigcode-evaluation-harness: autoregressive models, code generation, docker.
  • bigcode-evaluation-harness ships Docker support for self-hosted deployment.
  • When you need to isolate the evaluation environment from your local development setup, ensuring that no external variables affect the outcomes of model performance assessments.

When NOT to use bigcode-evaluation-harness

  • When you require real-time evaluation without the overhead of generating outputs locally and then evaluating them within isolated environments via Docker.
  • If your model's evaluation process does not necessitate autoregressive setup or the security features provided by Docker, using bigcode-evaluation-harness might introduce unnecessary complexity.

Choose lighteval if…

  • License: lighteval is MIT, bigcode-evaluation-harness is Apache-2.0.
  • 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.

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 on cards: bigcode-evaluation-harness 1.1k · lighteval 2.5k (synced Aug 5, 2026).

Common questions

What is the difference between bigcode-evaluation-harness and lighteval?
bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. 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 bigcode-evaluation-harness over lighteval?
Choose bigcode-evaluation-harness over lighteval when License: bigcode-evaluation-harness is Apache-2.0, lighteval is MIT; Requirements: Users must have Docker installed to leverage the isolated execution environments for model output evaluation.; Tags unique to bigcode-evaluation-harness: autoregressive models, code generation, docker; bigcode-evaluation-harness ships Docker support for self-hosted deployment; When you need to isolate the evaluation environment from your local development setup, ensuring that no external variables affect the outcomes of model performance assessments.
When should I choose lighteval over bigcode-evaluation-harness?
Choose lighteval over bigcode-evaluation-harness when License: lighteval is MIT, bigcode-evaluation-harness is Apache-2.0; 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.
When should I avoid bigcode-evaluation-harness?
When you require real-time evaluation without the overhead of generating outputs locally and then evaluating them within isolated environments via Docker. If your model's evaluation process does not necessitate autoregressive setup or the security features provided by Docker, using bigcode-evaluation-harness might introduce unnecessary complexity.
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 bigcode-evaluation-harness or lighteval more popular on GitHub?
lighteval has more GitHub stars (2,508 vs 1,055). Stars measure visibility, not whether either tool fits your constraints.
Are bigcode-evaluation-harness and lighteval open source?
Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, lighteval: MIT).
Where can I find alternatives to bigcode-evaluation-harness or lighteval?
GraphCanon lists graph-backed alternatives at bigcode-evaluation-harness alternatives and lighteval alternatives (bigcode-evaluation-harness 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, bigcode-evaluation-harness or lighteval?
bigcode-evaluation-harness: Dormant. lighteval: Steady. 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 bigcode-evaluation-harness and lighteval?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bigcode-evaluation-harness trust report; lighteval trust report.

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