Comparison
bigcode-evaluation-harness vs VLMEvalKit
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 VLMEvalKit if vLMEvalKit is an open-source Python evaluation toolkit for large vision-language models that offers one-command evaluation with support for various benchmarks and models.
Markdown twin · bigcode-evaluation-harness alternatives · VLMEvalKit alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | bigcode-evaluation-harness | VLMEvalKit |
|---|---|---|
| Maintenance | Dormant (378d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3d · 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
- bigcode-evaluation-harness
- A framework for evaluating autoregressive code generation language models.
- VLMEvalKit
- An open-source evaluation toolkit for large vision-language models
Stars
- bigcode-evaluation-harness
- 1.1k
- VLMEvalKit
- 4.3k
Forks
- bigcode-evaluation-harness
- 261
- VLMEvalKit
- 745
Open issues
- bigcode-evaluation-harness
- 96
- VLMEvalKit
- 285
Language
- bigcode-evaluation-harness
- Python
- VLMEvalKit
- 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.
- VLMEvalKit
- VLMEvalKit is an open-source Python evaluation toolkit for large vision-language models that offers one-command evaluation with support for various benchmarks and models.
Persona
- bigcode-evaluation-harness
- -
- VLMEvalKit
- -
Runtime
- bigcode-evaluation-harness
- -
- VLMEvalKit
- -
License
- bigcode-evaluation-harness
- bigcode-evaluation-harness is distributed under the Apache-2.0 license.
- VLMEvalKit
- Apache-2.0
Last pushed
- bigcode-evaluation-harness
- Jul 22, 2025
- VLMEvalKit
- Aug 17, 2026
Categories
- bigcode-evaluation-harness
- Evaluation & Observability
- VLMEvalKit
- Evaluation & Observability
Trust and health
Maintenance
- bigcode-evaluation-harness
- Dormant (18%)
- VLMEvalKit
- Very active (96%)
Days since push
- bigcode-evaluation-harness
- 378d
- VLMEvalKit
- 0d
Open issues (now)
- bigcode-evaluation-harness
- 96
- VLMEvalKit
- 285
Stars delta
- bigcode-evaluation-harness
- Unknown
- VLMEvalKit
- +60 (30d)
Open issues delta
- bigcode-evaluation-harness
- Unknown
- VLMEvalKit
- +21 (30d)
Full report
- bigcode-evaluation-harness
- Trust report
- VLMEvalKit
- 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.
- 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 VLMEvalKit if…
- Tags unique to VLMEvalKit: computer-vision, evaluation, large language models, llm.
- When you need to evaluate models supporting thinking mode, as it provides a custom split_thinking function improving accuracy.
- More GitHub stars (4.3k vs 1.1k) - visibility, not fit.
When NOT to use VLMEvalKit
- If your project requires evaluation tools that generate Excel files with individual cells larger than the default support of 32,767 characters and cannot switch to TSV format.
- When you do not need generation-based evaluation methods with exact matching and LLM-based answer extraction.
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 (open-compass/VLMEvalKit) · observed Aug 17, 2026
- GitHub forks (open-compass/VLMEvalKit) · observed Aug 17, 2026
- Last push (open-compass/VLMEvalKit) · observed Aug 17, 2026
- License file (Apache-2.0) · observed Aug 17, 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 · VLMEvalKit 4.3k (synced Aug 5, 2026).
Common questions
- What is the difference between bigcode-evaluation-harness and VLMEvalKit?
- bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. VLMEvalKit: An open-source evaluation toolkit for large vision-language models. See the comparison table for live GitHub stats and shared categories.
- When should I choose bigcode-evaluation-harness over VLMEvalKit?
- Choose bigcode-evaluation-harness over VLMEvalKit 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; 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 VLMEvalKit over bigcode-evaluation-harness?
- Choose VLMEvalKit over bigcode-evaluation-harness when Tags unique to VLMEvalKit: computer-vision, evaluation, large language models, llm; When you need to evaluate models supporting thinking mode, as it provides a custom split_thinking function improving accuracy; More GitHub stars (4.3k 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 VLMEvalKit?
- If your project requires evaluation tools that generate Excel files with individual cells larger than the default support of 32,767 characters and cannot switch to TSV format. When you do not need generation-based evaluation methods with exact matching and LLM-based answer extraction.
- Is bigcode-evaluation-harness or VLMEvalKit more popular on GitHub?
- VLMEvalKit has more GitHub stars (4,345 vs 1,055). Stars measure visibility, not whether either tool fits your constraints.
- Are bigcode-evaluation-harness and VLMEvalKit open source?
- Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, VLMEvalKit: Apache-2.0).
- Where can I find alternatives to bigcode-evaluation-harness or VLMEvalKit?
- GraphCanon lists graph-backed alternatives at bigcode-evaluation-harness alternatives and VLMEvalKit alternatives (bigcode-evaluation-harness markdown twin, VLMEvalKit 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 VLMEvalKit?
- bigcode-evaluation-harness: Dormant. VLMEvalKit: Very active. 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 VLMEvalKit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bigcode-evaluation-harness trust report; VLMEvalKit trust report.