Comparison
bigcode-evaluation-harness vs apps
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 apps if aPPS offers a benchmark to evaluate the competence of large language models on coding challenges using its datasets.
Markdown twin · bigcode-evaluation-harness alternatives · apps alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | bigcode-evaluation-harness | apps |
|---|---|---|
| Maintenance | Dormant (378d since push) As of 2w · github_public_v1 | Dormant (777d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · 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.
- apps
- APPS: Automated Programming Progress Standard
Stars
- bigcode-evaluation-harness
- 1.1k
- apps
- 534
Forks
- bigcode-evaluation-harness
- 261
- apps
- 70
Open issues
- bigcode-evaluation-harness
- 96
- apps
- 4
Language
- bigcode-evaluation-harness
- Python
- apps
- 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.
- apps
- APPS offers a benchmark to evaluate the competence of large language models on coding challenges using its datasets.
Persona
- bigcode-evaluation-harness
- -
- apps
- -
Runtime
- bigcode-evaluation-harness
- -
- apps
- -
License
- bigcode-evaluation-harness
- bigcode-evaluation-harness is distributed under the Apache-2.0 license.
- apps
- MIT
Last pushed
- bigcode-evaluation-harness
- Jul 22, 2025
- apps
- Jun 19, 2024
Categories
- bigcode-evaluation-harness
- Evaluation & Observability
- apps
- Data & Retrieval, Evaluation & Observability
Trust and health
Days since push
- bigcode-evaluation-harness
- 378d
- apps
- 777d
Open issues (now)
- bigcode-evaluation-harness
- 96
- apps
- 4
Owner type
- bigcode-evaluation-harness
- Organization
- apps
- User
Full report
- bigcode-evaluation-harness
- Trust report
- apps
- Trust report
Choose bigcode-evaluation-harness if…
- License: bigcode-evaluation-harness is Apache-2.0, apps 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, 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 apps if…
- License: apps is MIT, bigcode-evaluation-harness is Apache-2.0.
- Tags unique to apps: program-synthesis.
- Also covers Data & Retrieval.
- When you need benchmarking datasets specifically tailored for assessing the performance of your AI in solving programming tasks
When NOT to use apps
- If you solely require general datasets without a focus on coding challenges
- When your use case does not involve using Python-based tools for developing machine learning applications that include program synthesis and code generation
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 (hendrycks/apps) · observed Aug 5, 2026
- GitHub forks (hendrycks/apps) · observed Aug 5, 2026
- Last push (hendrycks/apps) · observed Jun 19, 2024
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: bigcode-evaluation-harness 1.1k · apps 534 (synced Aug 5, 2026).
Common questions
- What is the difference between bigcode-evaluation-harness and apps?
- bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. apps: APPS: Automated Programming Progress Standard. See the comparison table for live GitHub stats and shared categories.
- When should I choose bigcode-evaluation-harness over apps?
- Choose bigcode-evaluation-harness over apps when License: bigcode-evaluation-harness is Apache-2.0, apps 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, 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 apps over bigcode-evaluation-harness?
- Choose apps over bigcode-evaluation-harness when License: apps is MIT, bigcode-evaluation-harness is Apache-2.0; Tags unique to apps: program-synthesis; Also covers Data & Retrieval; When you need benchmarking datasets specifically tailored for assessing the performance of your AI in solving programming 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 apps?
- If you solely require general datasets without a focus on coding challenges When your use case does not involve using Python-based tools for developing machine learning applications that include program synthesis and code generation
- Is bigcode-evaluation-harness or apps more popular on GitHub?
- bigcode-evaluation-harness has more GitHub stars (1,055 vs 534). Stars measure visibility, not whether either tool fits your constraints.
- Are bigcode-evaluation-harness and apps open source?
- Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, apps: MIT).
- Where can I find alternatives to bigcode-evaluation-harness or apps?
- GraphCanon lists graph-backed alternatives at bigcode-evaluation-harness alternatives and apps alternatives (bigcode-evaluation-harness markdown twin, apps 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 apps?
- bigcode-evaluation-harness: Dormant. apps: Dormant. 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 apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bigcode-evaluation-harness trust report; apps trust report.