Comparison
code-eval vs anubis-oss
Verdict
Pick code-eval if code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability; pick anubis-oss if anubis-oss, specifically tailored for Apple Silicon devices using Swift, is distinguished by its focus on local large language model evaluation and testing within the macOS environment.
Markdown twin · code-eval alternatives · anubis-oss alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | code-eval | anubis-oss |
|---|---|---|
| Maintenance | Dormant (1058d since push) As of 2w · github_public_v1 | Steady (56d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of 1w · 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
- code-eval
- Run evaluation on LLMs using human-eval benchmark.
- anubis-oss
- Local LLM Testing & Benchmarking for Apple Silicon
Stars
- code-eval
- 431
- anubis-oss
- 198
Forks
- code-eval
- 37
- anubis-oss
- 12
Open issues
- code-eval
- 5
- anubis-oss
- 4
Language
- code-eval
- Python
- anubis-oss
- Swift
Adopt for
- code-eval
- code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability.
- anubis-oss
- Anubis-oss, specifically tailored for Apple Silicon devices using Swift, is distinguished by its focus on local large language model evaluation and testing within the macOS environment.
Persona
- code-eval
- -
- anubis-oss
- -
Runtime
- code-eval
- -
- anubis-oss
- -
License
- code-eval
- MIT
- anubis-oss
- GPL-3.0 license ensures that any derivative works related to anubis-oss must also be open source under the same licensing terms.
Last pushed
- code-eval
- Sep 12, 2023
- anubis-oss
- Jun 18, 2026
Categories
- code-eval
- Evaluation & Observability
- anubis-oss
- Evaluation & Observability, Inference & Serving
Trust and health
Maintenance
- code-eval
- Dormant (18%)
- anubis-oss
- Steady (60%)
Days since push
- code-eval
- 1058d
- anubis-oss
- 56d
Open issues (now)
- code-eval
- 5
- anubis-oss
- 4
OSV dependency advisories
- code-eval
- Published findings
- anubis-oss
- No lockfile (source not queried)
Full report
- code-eval
- Trust report
- anubis-oss
- Trust report
Choose code-eval if…
- code-eval is primarily Python; anubis-oss is Swift.
- License: code-eval is MIT, anubis-oss is GPL-3.0.
- Tags unique to code-eval: humaneval, wizardcoder.
- When you need clear comparisons of pass rates for different LLMs using standardized tests
When NOT to use code-eval
- If the tool's results do not correlate well with the official published benchmarks due to unknown prompt differences
- For real-time or dynamic evaluations as this repo offers pre-computed static results only
Choose anubis-oss if…
- anubis-oss is primarily Swift; code-eval is Python.
- License: anubis-oss is GPL-3.0, code-eval is MIT.
- Pricing: The tool is free and open-source with no monetary costs for usage or distribution..
- Requirements: Min 8 GB RAM.
- Tags unique to anubis-oss: apple-silicon, benchmarking, gpu, inference.
- Also covers Inference & Serving.
- When developing and evaluating large language models intended to run natively on Apple Silicon hardware.
When NOT to use anubis-oss
- If your development does not involve Apple Silicon or macOS environments as Anubis-oss is tightly integrated with these platforms.
- When preferring a language other than Swift, since Anubis-oss depends on this for its operations.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (abacaj/code-eval) · observed Aug 5, 2026
- GitHub forks (abacaj/code-eval) · observed Aug 5, 2026
- Last push (abacaj/code-eval) · observed Sep 12, 2023
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (uncSoft/anubis-oss) · observed Aug 13, 2026
- GitHub forks (uncSoft/anubis-oss) · observed Aug 13, 2026
- Last push (uncSoft/anubis-oss) · observed Jun 18, 2026
- License file (GPL-3.0) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: code-eval 431 · anubis-oss 198 (synced Aug 5, 2026).
Common questions
- What is the difference between code-eval and anubis-oss?
- code-eval: Run evaluation on LLMs using human-eval benchmark.. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories.
- When should I choose code-eval over anubis-oss?
- Choose code-eval over anubis-oss when code-eval is primarily Python; anubis-oss is Swift; License: code-eval is MIT, anubis-oss is GPL-3.0; Tags unique to code-eval: humaneval, wizardcoder; When you need clear comparisons of pass rates for different LLMs using standardized tests.
- When should I choose anubis-oss over code-eval?
- Choose anubis-oss over code-eval when anubis-oss is primarily Swift; code-eval is Python; License: anubis-oss is GPL-3.0, code-eval is MIT; Pricing: The tool is free and open-source with no monetary costs for usage or distribution.; Requirements: Min 8 GB RAM; Tags unique to anubis-oss: apple-silicon, benchmarking, gpu, inference; Also covers Inference & Serving; When developing and evaluating large language models intended to run natively on Apple Silicon hardware.
- When should I avoid code-eval?
- If the tool's results do not correlate well with the official published benchmarks due to unknown prompt differences For real-time or dynamic evaluations as this repo offers pre-computed static results only
- When should I avoid anubis-oss?
- If your development does not involve Apple Silicon or macOS environments as Anubis-oss is tightly integrated with these platforms. When preferring a language other than Swift, since Anubis-oss depends on this for its operations.
- Is code-eval or anubis-oss more popular on GitHub?
- code-eval has more GitHub stars (431 vs 198). Stars measure visibility, not whether either tool fits your constraints.
- Are code-eval and anubis-oss open source?
- Yes - both are open-source projects on GitHub (code-eval: MIT, anubis-oss: GPL-3.0).
- Where can I find alternatives to code-eval or anubis-oss?
- GraphCanon lists graph-backed alternatives at code-eval alternatives and anubis-oss alternatives (code-eval markdown twin, anubis-oss 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, code-eval or anubis-oss?
- code-eval: Dormant. anubis-oss: Steady. 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 code-eval and anubis-oss?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: code-eval trust report; anubis-oss trust report.