Comparison
bigcode-evaluation-harness vs simple-evals
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 simple-evals if simple-evals provides lightweight tools for evaluating language models using reference implementations from HealthBench, BrowseComp, SimpleQA. Last updates July 2025.
Markdown twin · bigcode-evaluation-harness alternatives · simple-evals alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | bigcode-evaluation-harness | simple-evals |
|---|---|---|
| Maintenance | Dormant (378d since push) As of 2w · github_public_v1 | Slowing (106d 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.
- simple-evals
- A lightweight library for evaluating language models.
Stars
- bigcode-evaluation-harness
- 1.1k
- simple-evals
- 4.6k
Forks
- bigcode-evaluation-harness
- 261
- simple-evals
- 501
Open issues
- bigcode-evaluation-harness
- 96
- simple-evals
- 56
Language
- bigcode-evaluation-harness
- Python
- simple-evals
- 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.
- simple-evals
- simple-evals provides lightweight tools for evaluating language models using reference implementations from HealthBench, BrowseComp, SimpleQA. Last updates July 2025.
Persona
- bigcode-evaluation-harness
- -
- simple-evals
- -
Runtime
- bigcode-evaluation-harness
- -
- simple-evals
- -
License
- bigcode-evaluation-harness
- bigcode-evaluation-harness is distributed under the Apache-2.0 license.
- simple-evals
- MIT licensed Python library for transparent language model evaluations with specific benchmark support until July 2025.
Last pushed
- bigcode-evaluation-harness
- Jul 22, 2025
- simple-evals
- Apr 22, 2026
Categories
- bigcode-evaluation-harness
- Evaluation & Observability
- simple-evals
- Evaluation & Observability
Trust and health
Maintenance
- bigcode-evaluation-harness
- Dormant (18%)
- simple-evals
- Slowing (36%)
Days since push
- bigcode-evaluation-harness
- 378d
- simple-evals
- 106d
Open issues (now)
- bigcode-evaluation-harness
- 96
- simple-evals
- 56
OSV dependency advisories
- bigcode-evaluation-harness
- Published findings
- simple-evals
- No lockfile (source not queried)
Full report
- bigcode-evaluation-harness
- Trust report
- simple-evals
- Trust report
Choose bigcode-evaluation-harness if…
- License: bigcode-evaluation-harness is Apache-2.0, simple-evals 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.
Choose simple-evals if…
- License: simple-evals is MIT, bigcode-evaluation-harness is Apache-2.0.
- Tags unique to simple-evals: benchmark, depreciation notice, evaluation, language-models.
- When you need a stable baseline to evaluate model performance with specific benchmarks like MMLU, HumanEval, and DROP that won't change after July 2025
When NOT to use simple-evals
- For evaluating models released or significantly updated after July 2025, as this tool does not include future benchmarks
- When you need a tool that will adapt and expand its benchmark set with emerging model releases and evaluation tasks beyond 2025
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 (openai/simple-evals) · observed Aug 7, 2026
- GitHub forks (openai/simple-evals) · observed Aug 7, 2026
- Last push (openai/simple-evals) · observed Apr 22, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: bigcode-evaluation-harness 1.1k · simple-evals 4.6k (synced Aug 5, 2026).
Common questions
- What is the difference between bigcode-evaluation-harness and simple-evals?
- bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. simple-evals: A lightweight library for evaluating language models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose bigcode-evaluation-harness over simple-evals?
- Choose bigcode-evaluation-harness over simple-evals when License: bigcode-evaluation-harness is Apache-2.0, simple-evals 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 choose simple-evals over bigcode-evaluation-harness?
- Choose simple-evals over bigcode-evaluation-harness when License: simple-evals is MIT, bigcode-evaluation-harness is Apache-2.0; Tags unique to simple-evals: benchmark, depreciation notice, evaluation, language-models; When you need a stable baseline to evaluate model performance with specific benchmarks like MMLU, HumanEval, and DROP that won't change after July 2025.
- 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 simple-evals?
- For evaluating models released or significantly updated after July 2025, as this tool does not include future benchmarks When you need a tool that will adapt and expand its benchmark set with emerging model releases and evaluation tasks beyond 2025
- Is bigcode-evaluation-harness or simple-evals more popular on GitHub?
- simple-evals has more GitHub stars (4,595 vs 1,055). Stars measure visibility, not whether either tool fits your constraints.
- Are bigcode-evaluation-harness and simple-evals open source?
- Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, simple-evals: MIT).
- Where can I find alternatives to bigcode-evaluation-harness or simple-evals?
- GraphCanon lists graph-backed alternatives at bigcode-evaluation-harness alternatives and simple-evals alternatives (bigcode-evaluation-harness markdown twin, simple-evals 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 simple-evals?
- bigcode-evaluation-harness: Dormant. simple-evals: 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 simple-evals?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bigcode-evaluation-harness trust report; simple-evals trust report.