Home/Compare/bigcode-evaluation-harness vs LiveCodeBench

Comparison

bigcode-evaluation-harness vs LiveCodeBench

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 LiveCodeBench if liveCodeBench offers an in-depth approach to evaluating large language models specifically for code tasks such as generation and repair.

Markdown twin · bigcode-evaluation-harness alternatives · LiveCodeBench alternatives

GraphCanon updated 2w

bigcode-evaluation-harness logo

bigcode-evaluation-harness

bigcode-project/bigcode-evaluation-harness

1.1kpushed Jul 22, 2025
vs
LiveCodeBench logo

LiveCodeBench

LiveCodeBench/LiveCodeBench

925pushed Jul 16, 2025

Trust & integrity

Signalbigcode-evaluation-harnessLiveCodeBench
Maintenance
Dormant (378d since push)
As of 2w · github_public_v1
Dormant (385d 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.
LiveCodeBench
Holistic and contamination-free evaluation of large language models for code

Stars

bigcode-evaluation-harness
1.1k
LiveCodeBench
925

Forks

bigcode-evaluation-harness
261
LiveCodeBench
195

Open issues

bigcode-evaluation-harness
96
LiveCodeBench
38

Language

bigcode-evaluation-harness
Python
LiveCodeBench
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.
LiveCodeBench
LiveCodeBench offers an in-depth approach to evaluating large language models specifically for code tasks such as generation and repair.

Persona

bigcode-evaluation-harness
-
LiveCodeBench
-

Runtime

bigcode-evaluation-harness
-
LiveCodeBench
-

License

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

Last pushed

bigcode-evaluation-harness
Jul 22, 2025
LiveCodeBench
Jul 16, 2025

Categories

bigcode-evaluation-harness
Evaluation & Observability
LiveCodeBench
Evaluation & Observability

Trust and health

Days since push

bigcode-evaluation-harness
378d
LiveCodeBench
385d

Open issues (now)

bigcode-evaluation-harness
96
LiveCodeBench
38

OSV dependency advisories

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

Full report

bigcode-evaluation-harness
Trust report
LiveCodeBench
Trust report

Choose bigcode-evaluation-harness if…

  • License: bigcode-evaluation-harness is Apache-2.0, LiveCodeBench 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, 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 LiveCodeBench if…

  • License: LiveCodeBench is MIT, bigcode-evaluation-harness is Apache-2.0.
  • Tags unique to LiveCodeBench: code-execution, code-repair, gpt-4, test-generation.
  • When you need a holistic method to assess the effectiveness of LLMs in code tasks without risking contamination by earlier outputs or data leakage.

When NOT to use LiveCodeBench

  • For broad, non-code-specific model assessments where a more generalized evaluation tool would suffice.
  • If your project is not compatible with Python 3.11 or if you do not want to use the uv dependency manager recommended by LiveCodeBench.

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 · LiveCodeBench 925 (synced Aug 5, 2026).

Common questions

What is the difference between bigcode-evaluation-harness and LiveCodeBench?
bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. LiveCodeBench: Holistic and contamination-free evaluation of large language models for code. See the comparison table for live GitHub stats and shared categories.
When should I choose bigcode-evaluation-harness over LiveCodeBench?
Choose bigcode-evaluation-harness over LiveCodeBench when License: bigcode-evaluation-harness is Apache-2.0, LiveCodeBench 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, 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 LiveCodeBench over bigcode-evaluation-harness?
Choose LiveCodeBench over bigcode-evaluation-harness when License: LiveCodeBench is MIT, bigcode-evaluation-harness is Apache-2.0; Tags unique to LiveCodeBench: code-execution, code-repair, gpt-4, test-generation; When you need a holistic method to assess the effectiveness of LLMs in code tasks without risking contamination by earlier outputs or data leakage.
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 LiveCodeBench?
For broad, non-code-specific model assessments where a more generalized evaluation tool would suffice. If your project is not compatible with Python 3.11 or if you do not want to use the uv dependency manager recommended by LiveCodeBench.
Is bigcode-evaluation-harness or LiveCodeBench more popular on GitHub?
bigcode-evaluation-harness has more GitHub stars (1,055 vs 925). Stars measure visibility, not whether either tool fits your constraints.
Are bigcode-evaluation-harness and LiveCodeBench open source?
Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, LiveCodeBench: MIT).
Where can I find alternatives to bigcode-evaluation-harness or LiveCodeBench?
GraphCanon lists graph-backed alternatives at bigcode-evaluation-harness alternatives and LiveCodeBench alternatives (bigcode-evaluation-harness markdown twin, LiveCodeBench 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 LiveCodeBench?
bigcode-evaluation-harness: Dormant. LiveCodeBench: Dormant. 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 LiveCodeBench?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bigcode-evaluation-harness trust report; LiveCodeBench trust report.

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