Comparison
code-eval vs bigcode-evaluation-harness
Verdict
Pick code-eval if code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability; 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.
Markdown twin · code-eval alternatives · bigcode-evaluation-harness alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | code-eval | bigcode-evaluation-harness |
|---|---|---|
| Maintenance | Dormant (1058d since push) As of 2w · github_public_v1 | Dormant (378d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal 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 | Published findings 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.
- bigcode-evaluation-harness
- A framework for evaluating autoregressive code generation language models.
Stars
- code-eval
- 431
- bigcode-evaluation-harness
- 1.1k
Forks
- code-eval
- 37
- bigcode-evaluation-harness
- 261
Open issues
- code-eval
- 5
- bigcode-evaluation-harness
- 96
Language
- code-eval
- Python
- bigcode-evaluation-harness
- Python
Adopt for
- code-eval
- code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability.
- 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.
Persona
- code-eval
- -
- bigcode-evaluation-harness
- -
Runtime
- code-eval
- -
- bigcode-evaluation-harness
- -
License
- code-eval
- MIT
- bigcode-evaluation-harness
- bigcode-evaluation-harness is distributed under the Apache-2.0 license.
Last pushed
- code-eval
- Sep 12, 2023
- bigcode-evaluation-harness
- Jul 22, 2025
Categories
- code-eval
- Evaluation & Observability
- bigcode-evaluation-harness
- Evaluation & Observability
Trust and health
Days since push
- code-eval
- 1058d
- bigcode-evaluation-harness
- 378d
Open issues (now)
- code-eval
- 5
- bigcode-evaluation-harness
- 96
Owner type
- code-eval
- User
- bigcode-evaluation-harness
- Organization
Full report
- code-eval
- Trust report
- bigcode-evaluation-harness
- Trust report
Choose code-eval if…
- License: code-eval is MIT, bigcode-evaluation-harness 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
Choose bigcode-evaluation-harness if…
- License: bigcode-evaluation-harness is Apache-2.0, code-eval 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, python.
- 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.
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 (bigcode-project/bigcode-evaluation-harness) · observed Aug 5, 2026
- GitHub forks (bigcode-project/bigcode-evaluation-harness) · observed Aug 5, 2026
- Last push (bigcode-project/bigcode-evaluation-harness) · observed Jul 22, 2025
- License file (Apache-2.0) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: code-eval 431 · bigcode-evaluation-harness 1.1k (synced Aug 5, 2026).
Common questions
- What is the difference between code-eval and bigcode-evaluation-harness?
- code-eval: Run evaluation on LLMs using human-eval benchmark.. bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose code-eval over bigcode-evaluation-harness?
- Choose code-eval over bigcode-evaluation-harness when License: code-eval is MIT, bigcode-evaluation-harness 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 bigcode-evaluation-harness over code-eval?
- Choose bigcode-evaluation-harness over code-eval when License: bigcode-evaluation-harness is Apache-2.0, code-eval 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, python; 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 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 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.
- Is code-eval or bigcode-evaluation-harness more popular on GitHub?
- bigcode-evaluation-harness has more GitHub stars (1,055 vs 431). Stars measure visibility, not whether either tool fits your constraints.
- Are code-eval and bigcode-evaluation-harness open source?
- Yes - both are open-source projects on GitHub (code-eval: MIT, bigcode-evaluation-harness: Apache-2.0).
- Where can I find alternatives to code-eval or bigcode-evaluation-harness?
- GraphCanon lists graph-backed alternatives at code-eval alternatives and bigcode-evaluation-harness alternatives (code-eval markdown twin, bigcode-evaluation-harness 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 bigcode-evaluation-harness?
- code-eval: Dormant. bigcode-evaluation-harness: 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 code-eval and bigcode-evaluation-harness?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: code-eval trust report; bigcode-evaluation-harness trust report.