Comparison
ai-serving vs ort
Verdict
Pick ai-serving if ai-Serving is an inference server supporting PMML and ONNX formats via HTTP or gRPC endpoints, easily deployable with Docker; pick ort if ort accelerates ML inference and training tasks for ONNX models with high-performance Rust operations.
Markdown twin · ai-serving alternatives · ort alternatives
GraphCanon updated 6d
Trust & integrity
| Signal | ai-serving | ort |
|---|---|---|
| Maintenance | Slowing (171d since push) As of 6d · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 6d · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- ai-serving
- Serving AI/ML models in open standard formats PMML and ONNX with HTTP and gRPC endpoints
- ort
- Fast ML inference and training for ONNX models in Rust
Stars
- ai-serving
- 166
- ort
- 2.4k
Forks
- ai-serving
- 31
- ort
- 256
Open issues
- ai-serving
- 3
- ort
- 1
Language
- ai-serving
- Scala
- ort
- Rust
Adopt for
- ai-serving
- Ai-Serving is an inference server supporting PMML and ONNX formats via HTTP or gRPC endpoints, easily deployable with Docker.
- ort
- ort accelerates ML inference and training tasks for ONNX models with high-performance Rust operations
Persona
- ai-serving
- -
- ort
- -
Runtime
- ai-serving
- -
- ort
- -
License
- ai-serving
- Apache-2.0
- ort
- Apache-2.0
Last pushed
- ai-serving
- Feb 24, 2026
- ort
- Jul 23, 2026
Categories
- ai-serving
- Inference & Serving
- ort
- Inference & Serving, Model Training
Trust and health
Maintenance
- ai-serving
- Slowing (36%)
- ort
- Very active (96%)
Days since push
- ai-serving
- 171d
- ort
- 0d
Open issues (now)
- ai-serving
- 3
- ort
- 1
Stars delta
- ai-serving
- 0 (30d)
- ort
- Unknown
Open issues delta
- ai-serving
- 0 (30d)
- ort
- Unknown
Full report
- ai-serving
- Trust report
- ort
- Trust report
Choose ai-serving if…
- ai-serving is primarily Scala; ort is Rust.
- Tags unique to ai-serving: ai-serving, grpc, inference-server, pmml-deployment.
- When you need to serve models in both PMML and ONNX formats without manual configuration changes between formats.
When NOT to use ai-serving
- Avoid if your team lacks familiarity or willingness to use Scala for deployment through sbt build system for customization needs.
- Not suitable when only one model format, either PMML or ONNX but not both, is needed and a simpler solution would suffice.
- If your project strictly requires a non-Dockerized setup that does not align with using pre-built Docker images.
Choose ort if…
- ort is primarily Rust; ai-serving is Scala.
- Tags unique to ort: ai, fine-tuning, inference, machine-learning.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (autodeployai/ai-serving) · observed Aug 14, 2026
- GitHub forks (autodeployai/ai-serving) · observed Aug 14, 2026
- Last push (autodeployai/ai-serving) · observed Feb 24, 2026
- License file (Apache-2.0) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (pykeio/ort) · observed Jul 24, 2026
- GitHub forks (pykeio/ort) · observed Jul 24, 2026
- Last push (pykeio/ort) · observed Jul 23, 2026
- License file (Apache-2.0) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ai-serving 166 · ort 2.4k (synced Aug 14, 2026).
Common questions
- What is the difference between ai-serving and ort?
- ai-serving: Serving AI/ML models in open standard formats PMML and ONNX with HTTP and gRPC endpoints. ort: Fast ML inference and training for ONNX models in Rust. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-serving over ort?
- Choose ai-serving over ort when ai-serving is primarily Scala; ort is Rust; Tags unique to ai-serving: ai-serving, grpc, inference-server, pmml-deployment; When you need to serve models in both PMML and ONNX formats without manual configuration changes between formats.
- When should I choose ort over ai-serving?
- Choose ort over ai-serving when ort is primarily Rust; ai-serving is Scala; Tags unique to ort: ai, fine-tuning, inference, machine-learning; Also covers Model Training; When your project involves ONNX models that require fast inference times or efficient fine-tuning.
- When should I avoid ai-serving?
- Avoid if your team lacks familiarity or willingness to use Scala for deployment through sbt build system for customization needs. Not suitable when only one model format, either PMML or ONNX but not both, is needed and a simpler solution would suffice. If your project strictly requires a non-Dockerized setup that does not align with using pre-built Docker images.
- 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
- Is ai-serving or ort more popular on GitHub?
- ort has more GitHub stars (2,416 vs 166). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-serving and ort open source?
- Yes - both are open-source projects on GitHub (ai-serving: Apache-2.0, ort: Apache-2.0).
- Where can I find alternatives to ai-serving or ort?
- GraphCanon lists graph-backed alternatives at ai-serving alternatives and ort alternatives (ai-serving markdown twin, ort 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, ai-serving or ort?
- ai-serving: Slowing. ort: 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 ai-serving and ort?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-serving trust report; ort trust report.