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 family of open-source models for program synthesis developed by Salesforce AI Research, available in various sizes from 350M to 16B parameters. It is trained on TPU-v4 and competes with OpenAI Codex.
Markdown twin · bigcode-evaluation-harness alternatives · CodeGen alternatives
GraphCanon updated Oct 6, 2026
10views this month
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Trust & integrity
| Signal | bigcode-evaluation-harness | CodeGen |
|---|---|---|
| Maintenance | Dormant (440d since push) As of Oct 6, 2026 · github_public_v1 | Slowing (107d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Oct 6, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- bigcode-evaluation-harness
- A framework for evaluating autoregressive code generation language models.
- CodeGen
- A family of open-source models for program synthesis
Stars
- bigcode-evaluation-harness
- 1.1k
- CodeGen
- 5.2k
Forks
- bigcode-evaluation-harness
- 262
- CodeGen
- 420
Open issues
- bigcode-evaluation-harness
- 99
- CodeGen
- 49
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 family of open-source models for program synthesis developed by Salesforce AI Research, available in various sizes from 350M to 16B parameters. It is trained on TPU-v4 and competes with OpenAI Codex.
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
- Slowing (36%)
Days since push
- bigcode-evaluation-harness
- 440d
- CodeGen
- 107d
Open issues (now)
- bigcode-evaluation-harness
- 99
- CodeGen
- 49
Stars delta
- bigcode-evaluation-harness
- +4 (30d)
- CodeGen
- +1 (30d)
Open issues delta
- bigcode-evaluation-harness
- +3 (30d)
- CodeGen
- +1 (30d)
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 need an open-source alternative to proprietary models like OpenAI Codex for program synthesis.
When NOT to use CodeGen
- If your project strictly requires proprietary models with specific features not available in open-source alternatives.
- When the hardware requirements for TPU-v4 trained models are not met or are not preferred in your environment.
- If the latest version of CodeGen does not meet the specific performance or feature requirements of your project.
- For projects that require models with a different licensing model, as CodeGen is licensed under Apache-2.0.
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 Oct 6, 2026
- GitHub forks (bigcode-project/bigcode-evaluation-harness) · observed Oct 6, 2026
- Last push (bigcode-project/bigcode-evaluation-harness) · observed Jul 22, 2025
- License file (Apache-2.0) · observed Oct 6, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (salesforce/CodeGen) · observed Sep 20, 2026
- GitHub forks (salesforce/CodeGen) · observed Sep 20, 2026
- Last push (salesforce/CodeGen) · observed Jun 2, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: bigcode-evaluation-harness 1.1k · CodeGen 5.2k (synced Oct 6, 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: A 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 need an open-source alternative to proprietary models like OpenAI Codex for program synthesis.
- 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?
- If your project strictly requires proprietary models with specific features not available in open-source alternatives. When the hardware requirements for TPU-v4 trained models are not met or are not preferred in your environment. If the latest version of CodeGen does not meet the specific performance or feature requirements of your project. For projects that require models with a different licensing model, as CodeGen is licensed under Apache-2.0.
- Is bigcode-evaluation-harness or CodeGen more popular on GitHub?
- CodeGen has more GitHub stars (5,180 vs 1,062). 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: Slowing. 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.