Comparison
bigcode-evaluation-harness vs scalene
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 scalene if scalene is a high-performance CPU, GPU, and memory profiler for Python that uses AI to suggest optimizations.
Markdown twin · bigcode-evaluation-harness alternatives · scalene alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | bigcode-evaluation-harness | scalene |
|---|---|---|
| Maintenance | Dormant (378d since push) As of 2w · github_public_v1 | Very active (2d 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 | 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.
- scalene
- High-performance CPU, GPU, and memory profiler for Python with AI-powered optimization
Stars
- bigcode-evaluation-harness
- 1.1k
- scalene
- 13k
Forks
- bigcode-evaluation-harness
- 261
- scalene
- 435
Open issues
- bigcode-evaluation-harness
- 96
- scalene
- 151
Language
- bigcode-evaluation-harness
- Python
- scalene
- 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.
- scalene
- Scalene is a high-performance CPU, GPU, and memory profiler for Python that uses AI to suggest optimizations.
Persona
- bigcode-evaluation-harness
- -
- scalene
- -
Runtime
- bigcode-evaluation-harness
- -
- scalene
- -
License
- bigcode-evaluation-harness
- bigcode-evaluation-harness is distributed under the Apache-2.0 license.
- scalene
- Apache-2.0
Last pushed
- bigcode-evaluation-harness
- Jul 22, 2025
- scalene
- Aug 1, 2026
Categories
- bigcode-evaluation-harness
- Evaluation & Observability
- scalene
- Evaluation & Observability
Trust and health
Maintenance
- bigcode-evaluation-harness
- Dormant (18%)
- scalene
- Very active (96%)
Days since push
- bigcode-evaluation-harness
- 378d
- scalene
- 2d
Open issues (now)
- bigcode-evaluation-harness
- 96
- scalene
- 151
Full report
- bigcode-evaluation-harness
- Trust report
- scalene
- 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 scalene if…
- Tags unique to scalene: cpu-profiling, gpu-programming, memory-allocation, profiler.
- When you need precise profiling of both CPU and GPU performance in Python applications
- More GitHub stars (13k vs 1.1k) - visibility, not fit.
When NOT to use scalene
- If your project does not involve Python, as Scalene is specific to this language
- Avoid if your system lacks necessary dependencies like Visual C++ Redistributable on Windows
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 (plasma-umass/scalene) · observed Aug 4, 2026
- GitHub forks (plasma-umass/scalene) · observed Aug 4, 2026
- Last push (plasma-umass/scalene) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 4, 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 · scalene 13k (synced Aug 5, 2026).
Common questions
- What is the difference between bigcode-evaluation-harness and scalene?
- bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. scalene: High-performance CPU, GPU, and memory profiler for Python with AI-powered optimization. See the comparison table for live GitHub stats and shared categories.
- When should I choose bigcode-evaluation-harness over scalene?
- Choose bigcode-evaluation-harness over scalene 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 scalene over bigcode-evaluation-harness?
- Choose scalene over bigcode-evaluation-harness when Tags unique to scalene: cpu-profiling, gpu-programming, memory-allocation, profiler; When you need precise profiling of both CPU and GPU performance in Python applications; More GitHub stars (13k 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 scalene?
- If your project does not involve Python, as Scalene is specific to this language Avoid if your system lacks necessary dependencies like Visual C++ Redistributable on Windows
- Is bigcode-evaluation-harness or scalene more popular on GitHub?
- scalene has more GitHub stars (13,485 vs 1,055). Stars measure visibility, not whether either tool fits your constraints.
- Are bigcode-evaluation-harness and scalene open source?
- Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, scalene: Apache-2.0).
- Where can I find alternatives to bigcode-evaluation-harness or scalene?
- GraphCanon lists graph-backed alternatives at bigcode-evaluation-harness alternatives and scalene alternatives (bigcode-evaluation-harness markdown twin, scalene 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 scalene?
- bigcode-evaluation-harness: Dormant. scalene: 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 scalene?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bigcode-evaluation-harness trust report; scalene trust report.