Comparison
ai-serving vs pinferencia
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 pinferencia if pinferencia is a Python library that simplifies the process of setting up model inference servers with minimal code.
Markdown twin · ai-serving alternatives · pinferencia alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | ai-serving | pinferencia |
|---|---|---|
| Maintenance | Slowing (171d since push) As of 1w · github_public_v1 | Dormant (1262d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · 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 | 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
- ai-serving
- Serving AI/ML models in open standard formats PMML and ONNX with HTTP and gRPC endpoints
- pinferencia
- Python library for simplest model inference server
Stars
- ai-serving
- 166
- pinferencia
- 543
Forks
- ai-serving
- 31
- pinferencia
- 83
Open issues
- ai-serving
- 3
- pinferencia
- 17
Language
- ai-serving
- Scala
- pinferencia
- Python
Adopt for
- ai-serving
- Ai-Serving is an inference server supporting PMML and ONNX formats via HTTP or gRPC endpoints, easily deployable with Docker.
- pinferencia
- Pinferencia is a Python library that simplifies the process of setting up model inference servers with minimal code.
Persona
- ai-serving
- -
- pinferencia
- -
Runtime
- ai-serving
- -
- pinferencia
- -
License
- ai-serving
- Apache-2.0
- pinferencia
- Apache-2.0
Last pushed
- ai-serving
- Feb 24, 2026
- pinferencia
- Feb 14, 2023
Categories
- ai-serving
- Inference & Serving
- pinferencia
- Inference & Serving
Trust and health
Maintenance
- ai-serving
- Slowing (36%)
- pinferencia
- Dormant (18%)
Days since push
- ai-serving
- 171d
- pinferencia
- 1262d
Open issues (now)
- ai-serving
- 3
- pinferencia
- 17
Stars delta
- ai-serving
- 0 (30d)
- pinferencia
- Unknown
Open issues delta
- ai-serving
- 0 (30d)
- pinferencia
- Unknown
OSV dependency advisories
- ai-serving
- No lockfile (source not queried)
- pinferencia
- Published findings
Full report
- ai-serving
- Trust report
- pinferencia
- Trust report
Choose ai-serving if…
- ai-serving is primarily Scala; pinferencia is Python.
- Tags unique to ai-serving: ai-serving, grpc, onnx, 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 pinferencia if…
- pinferencia is primarily Python; ai-serving is Scala.
- Tags unique to pinferencia: ai, artificial-intelligence, computer-vision, data-science.
- Pinferencia is a Python library that simplifies the process of setting up model inference servers with minimal code.
When NOT to use pinferencia
- Last GitHub push was 1288 days ago (dormant maintenance, Feb 14, 2023). Validate activity before betting a new project on pinferencia.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
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 (underneathall/pinferencia) · observed Jul 31, 2026
- GitHub forks (underneathall/pinferencia) · observed Jul 31, 2026
- Last push (underneathall/pinferencia) · observed Feb 14, 2023
- License file (Apache-2.0) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ai-serving 166 · pinferencia 543 (synced Aug 14, 2026).
Common questions
- What is the difference between ai-serving and pinferencia?
- ai-serving: Serving AI/ML models in open standard formats PMML and ONNX with HTTP and gRPC endpoints. pinferencia: Python library for simplest model inference server. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-serving over pinferencia?
- Choose ai-serving over pinferencia when ai-serving is primarily Scala; pinferencia is Python; Tags unique to ai-serving: ai-serving, grpc, onnx, pmml-deployment; When you need to serve models in both PMML and ONNX formats without manual configuration changes between formats.
- When should I choose pinferencia over ai-serving?
- Choose pinferencia over ai-serving when pinferencia is primarily Python; ai-serving is Scala; Tags unique to pinferencia: ai, artificial-intelligence, computer-vision, data-science; Pinferencia is a Python library that simplifies the process of setting up model inference servers with minimal code.
- 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 pinferencia?
- Last GitHub push was 1288 days ago (dormant maintenance, Feb 14, 2023). Validate activity before betting a new project on pinferencia. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is ai-serving or pinferencia more popular on GitHub?
- pinferencia has more GitHub stars (543 vs 166). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-serving and pinferencia open source?
- Yes - both are open-source projects on GitHub (ai-serving: Apache-2.0, pinferencia: Apache-2.0).
- Where can I find alternatives to ai-serving or pinferencia?
- GraphCanon lists graph-backed alternatives at ai-serving alternatives and pinferencia alternatives (ai-serving markdown twin, pinferencia 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 pinferencia?
- ai-serving: Slowing. pinferencia: 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 ai-serving and pinferencia?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-serving trust report; pinferencia trust report.