Comparison
ort vs anubis-oss
Verdict
Pick ort if ort accelerates ML inference and training tasks for ONNX models with high-performance Rust operations; 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 · ort alternatives · anubis-oss alternatives
GraphCanon updated Sep 20, 2026
14views this month
Trust & integrity
| Signal | ort | anubis-oss |
|---|---|---|
| Maintenance | Very active (3d since push) As of Sep 19, 2026 · github_public_v1 | Active (15d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 19, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · 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
- ort
- Fast ML inference and training for ONNX models in Rust
- anubis-oss
- Local LLM Testing & Benchmarking for Apple Silicon
Stars
- ort
- 2.5k
- anubis-oss
- 207
Forks
- ort
- 271
- anubis-oss
- 15
Open issues
- ort
- 2
- anubis-oss
- 1
Language
- ort
- Rust
- anubis-oss
- Swift
Adopt for
- ort
- ort accelerates ML inference and training tasks for ONNX models with high-performance Rust operations
- 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
- ort
- -
- anubis-oss
- -
Runtime
- ort
- -
- anubis-oss
- -
License
- ort
- Apache-2.0
- 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
- ort
- Sep 16, 2026
- anubis-oss
- Sep 5, 2026
Categories
- ort
- Inference & Serving, Model Training
- anubis-oss
- Evaluation & Observability, Inference & Serving
Trust and health
Maintenance
- ort
- Very active (96%)
- anubis-oss
- Active (82%)
Days since push
- ort
- 3d
- anubis-oss
- 15d
Open issues (now)
- ort
- 2
- anubis-oss
- 1
Stars delta
- ort
- +99 (30d)
- anubis-oss
- +9 (30d)
Open issues delta
- ort
- +1 (30d)
- anubis-oss
- -3 (30d)
Owner type
- ort
- Organization
- anubis-oss
- User
Full report
- ort
- Trust report
- anubis-oss
- Trust report
Choose ort if…
- ort is primarily Rust; anubis-oss is Swift.
- License: ort is Apache-2.0, anubis-oss is GPL-3.0.
- Tags unique to ort: ai, fine-tuning, machine-learning, onnx.
- Also covers Model Training.
- When your project involves ONNX models that require fast inference times or efficient fine-tuning
When NOT to use ort
- When the primary development language is not compatible with Rust bindings
- For projects requiring broad model support beyond ONNX, as ort specializes only in ONNX models and does not cover a wide array of formats like some competitors might
Choose anubis-oss if…
- anubis-oss is primarily Swift; ort is Rust.
- License: anubis-oss is GPL-3.0, ort is Apache-2.0.
- 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, llm.
- Also covers Evaluation & Observability.
- 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 (pykeio/ort) · observed Sep 20, 2026
- GitHub forks (pykeio/ort) · observed Sep 20, 2026
- Last push (pykeio/ort) · observed Sep 16, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (uncSoft/anubis-oss) · observed Sep 20, 2026
- GitHub forks (uncSoft/anubis-oss) · observed Sep 20, 2026
- Last push (uncSoft/anubis-oss) · observed Sep 5, 2026
- License file (GPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: ort 2.5k · anubis-oss 207 (synced Sep 20, 2026).
Common questions
- What is the difference between ort and anubis-oss?
- ort: Fast ML inference and training for ONNX models in Rust. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories.
- When should I choose ort over anubis-oss?
- Choose ort over anubis-oss when ort is primarily Rust; anubis-oss is Swift; License: ort is Apache-2.0, anubis-oss is GPL-3.0; Tags unique to ort: ai, fine-tuning, machine-learning, onnx; Also covers Model Training; When your project involves ONNX models that require fast inference times or efficient fine-tuning.
- When should I choose anubis-oss over ort?
- Choose anubis-oss over ort when anubis-oss is primarily Swift; ort is Rust; License: anubis-oss is GPL-3.0, ort is Apache-2.0; 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, llm; Also covers Evaluation & Observability; When developing and evaluating large language models intended to run natively on Apple Silicon hardware.
- When should I avoid ort?
- When the primary development language is not compatible with Rust bindings For projects requiring broad model support beyond ONNX, as ort specializes only in ONNX models and does not cover a wide array of formats like some competitors might
- 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 ort or anubis-oss more popular on GitHub?
- ort has more GitHub stars (2,515 vs 207). Stars measure visibility, not whether either tool fits your constraints.
- Are ort and anubis-oss open source?
- Yes - both are open-source projects on GitHub (ort: Apache-2.0, anubis-oss: GPL-3.0).
- Where can I find alternatives to ort or anubis-oss?
- GraphCanon lists graph-backed alternatives at ort alternatives and anubis-oss alternatives (ort 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, ort or anubis-oss?
- ort: Very active. anubis-oss: 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 ort and anubis-oss?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ort trust report; anubis-oss trust report.