Home/Compare/bigcode-evaluation-harness vs evalplus

Comparison

bigcode-evaluation-harness vs evalplus

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 evalplus if evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license.

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

GraphCanon updated 2w

bigcode-evaluation-harness logo

bigcode-evaluation-harness

bigcode-project/bigcode-evaluation-harness

1.1kpushed Jul 22, 2025
vs
evalplus logo

evalplus

evalplus/evalplus

1.8kpushed Oct 2, 2025

Trust & integrity

Signalbigcode-evaluation-harnessevalplus
Maintenance
Dormant (378d since push)
As of 2w · github_public_v1
Slowing (306d 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 published findings from this source as of 2026-07-11
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.
evalplus
Rigorous evaluation of LLM-synthesized code

Stars

bigcode-evaluation-harness
1.1k
evalplus
1.8k

Forks

bigcode-evaluation-harness
261
evalplus
205

Open issues

bigcode-evaluation-harness
96
evalplus
71

Language

bigcode-evaluation-harness
Python
evalplus
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.
evalplus
evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license.

Persona

bigcode-evaluation-harness
-
evalplus
-

Runtime

bigcode-evaluation-harness
-
evalplus
-

License

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

Last pushed

bigcode-evaluation-harness
Jul 22, 2025
evalplus
Oct 2, 2025

Categories

bigcode-evaluation-harness
Evaluation & Observability
evalplus
Evaluation & Observability

Trust and health

Maintenance

bigcode-evaluation-harness
Dormant (18%)
evalplus
Slowing (36%)

Days since push

bigcode-evaluation-harness
378d
evalplus
306d

Open issues (now)

bigcode-evaluation-harness
96
evalplus
71

OSV dependency advisories

bigcode-evaluation-harness
Published findings
evalplus
No published findings from this source as of 2026-07-11

Full report

bigcode-evaluation-harness
Trust report
evalplus
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.
  • 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 evalplus if…

  • Tags unique to evalplus: benchmark, chatgpt, efficiency, program-synthesis.
  • When you need advanced benchmarks specific to large language model generated program synthesis, such as from GPT-4 or ChatGPT.
  • More GitHub stars (1.8k vs 1.1k) - visibility, not fit.

When NOT to use evalplus

  • Avoid if you require broad language model benchmarking that is not specifically focused on program synthesis capabilities.
  • Do not use evalplus if your project does not benefit from or need Docker-based isolation for code execution safety measures, such as in controlled lab environments without external dependencies.

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 · evalplus 1.8k (synced Aug 5, 2026).

Common questions

What is the difference between bigcode-evaluation-harness and evalplus?
bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. evalplus: Rigorous evaluation of LLM-synthesized code. See the comparison table for live GitHub stats and shared categories.
When should I choose bigcode-evaluation-harness over evalplus?
Choose bigcode-evaluation-harness over evalplus 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; 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 evalplus over bigcode-evaluation-harness?
Choose evalplus over bigcode-evaluation-harness when Tags unique to evalplus: benchmark, chatgpt, efficiency, program-synthesis; When you need advanced benchmarks specific to large language model generated program synthesis, such as from GPT-4 or ChatGPT; More GitHub stars (1.8k vs 1.1k) - visibility, not fit.
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 evalplus?
Avoid if you require broad language model benchmarking that is not specifically focused on program synthesis capabilities. Do not use evalplus if your project does not benefit from or need Docker-based isolation for code execution safety measures, such as in controlled lab environments without external dependencies.
Is bigcode-evaluation-harness or evalplus more popular on GitHub?
evalplus has more GitHub stars (1,794 vs 1,055). Stars measure visibility, not whether either tool fits your constraints.
Are bigcode-evaluation-harness and evalplus open source?
Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, evalplus: Apache-2.0).
Where can I find alternatives to bigcode-evaluation-harness or evalplus?
GraphCanon lists graph-backed alternatives at bigcode-evaluation-harness alternatives and evalplus alternatives (bigcode-evaluation-harness markdown twin, evalplus 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 evalplus?
bigcode-evaluation-harness: Dormant. evalplus: 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 evalplus?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bigcode-evaluation-harness trust report; evalplus trust report.

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