Comparison
bigcode-evaluation-harness vs CodeGen
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 CodeGen if codeGen is a series of open-source large language models designed for program synthesis. Trained on TPUs, CodeGen offers several versions with varying capabilities from basic code generation to advanced infill sampling.
Markdown twin · bigcode-evaluation-harness alternatives · CodeGen alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | bigcode-evaluation-harness | CodeGen |
|---|---|---|
| Maintenance | Dormant (378d since push) As of 2w · github_public_v1 | Steady (60d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · 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.
- CodeGen
- Family of open-source models for program synthesis.
Stars
- bigcode-evaluation-harness
- 1.1k
- CodeGen
- 5.2k
Forks
- bigcode-evaluation-harness
- 261
- CodeGen
- 421
Open issues
- bigcode-evaluation-harness
- 96
- CodeGen
- 48
Language
- bigcode-evaluation-harness
- Python
- CodeGen
- 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.
- CodeGen
- CodeGen is a series of open-source large language models designed for program synthesis. Trained on TPUs, CodeGen offers several versions with varying capabilities from basic code generation to advanced infill sampling.
Persona
- bigcode-evaluation-harness
- -
- CodeGen
- -
Runtime
- bigcode-evaluation-harness
- -
- CodeGen
- -
License
- bigcode-evaluation-harness
- bigcode-evaluation-harness is distributed under the Apache-2.0 license.
- CodeGen
- Apache-2.0
Last pushed
- bigcode-evaluation-harness
- Jul 22, 2025
- CodeGen
- Jun 2, 2026
Categories
- bigcode-evaluation-harness
- Evaluation & Observability
- CodeGen
- LLM Frameworks, Model Training
Trust and health
Maintenance
- bigcode-evaluation-harness
- Dormant (18%)
- CodeGen
- Steady (60%)
Days since push
- bigcode-evaluation-harness
- 378d
- CodeGen
- 60d
Open issues (now)
- bigcode-evaluation-harness
- 96
- CodeGen
- 48
OSV dependency advisories
- bigcode-evaluation-harness
- Published findings
- CodeGen
- No lockfile (source not queried)
Full report
- bigcode-evaluation-harness
- Trust report
- CodeGen
- Trust report
Choose bigcode-evaluation-harness if…
- 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.
- Also covers Evaluation & Observability.
- 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 CodeGen if…
- Tags unique to CodeGen: codex, generativemodel, languagemodel, llm.
- Also covers LLM Frameworks, Model Training.
- When you require high-performance model training and code generation that matches or exceeds the performance of OpenAI Codex on specific tasks
When NOT to use CodeGen
- In scenarios where the model's primary use is not centered around code generation or program synthesis, as its specialized training may limit its effectiveness for other types of generative tasks
- If your project strictly requires a smaller memory footprint or simpler deployment because advanced models like CodeGen2.5 require significant computational resources and setup
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (salesforce/CodeGen) · observed Aug 2, 2026
- GitHub forks (salesforce/CodeGen) · observed Aug 2, 2026
- Last push (salesforce/CodeGen) · observed Jun 2, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: bigcode-evaluation-harness 1.1k · CodeGen 5.2k (synced Aug 5, 2026).
Common questions
- What is the difference between bigcode-evaluation-harness and CodeGen?
- bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. CodeGen: Family of open-source models for program synthesis.. See the comparison table for live GitHub stats and shared categories.
- When should I choose bigcode-evaluation-harness over CodeGen?
- Choose bigcode-evaluation-harness over CodeGen when 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; Also covers Evaluation & Observability; 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 CodeGen over bigcode-evaluation-harness?
- Choose CodeGen over bigcode-evaluation-harness when Tags unique to CodeGen: codex, generativemodel, languagemodel, llm; Also covers LLM Frameworks, Model Training; When you require high-performance model training and code generation that matches or exceeds the performance of OpenAI Codex on specific tasks.
- 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 CodeGen?
- In scenarios where the model's primary use is not centered around code generation or program synthesis, as its specialized training may limit its effectiveness for other types of generative tasks If your project strictly requires a smaller memory footprint or simpler deployment because advanced models like CodeGen2.5 require significant computational resources and setup
- Is bigcode-evaluation-harness or CodeGen more popular on GitHub?
- CodeGen has more GitHub stars (5,179 vs 1,055). Stars measure visibility, not whether either tool fits your constraints.
- Are bigcode-evaluation-harness and CodeGen open source?
- Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, CodeGen: Apache-2.0).
- Where can I find alternatives to bigcode-evaluation-harness or CodeGen?
- GraphCanon lists graph-backed alternatives at bigcode-evaluation-harness alternatives and CodeGen alternatives (bigcode-evaluation-harness markdown twin, CodeGen 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 CodeGen?
- bigcode-evaluation-harness: Dormant. CodeGen: 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 CodeGen?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bigcode-evaluation-harness trust report; CodeGen trust report.