Comparison
ai-serving vs mosec
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 mosec if mosec, Apache-2.0 licensed, is optimized for high-performance serving of ML models with dynamic batching and CPU/GPU support across different frameworks.
Markdown twin · ai-serving alternatives · mosec alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | ai-serving | mosec |
|---|---|---|
| Maintenance | Slowing (171d since push) As of 1w · github_public_v1 | Very active (0d 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 | 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
- mosec
- A high-performance ML model serving framework with dynamic batching and CPU/GPU pipelines
Stars
- ai-serving
- 166
- mosec
- 903
Forks
- ai-serving
- 31
- mosec
- 73
Open issues
- ai-serving
- 3
- mosec
- 19
Language
- ai-serving
- Scala
- mosec
- 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.
- mosec
- Mosec, Apache-2.0 licensed, is optimized for high-performance serving of ML models with dynamic batching and CPU/GPU support across different frameworks.
Persona
- ai-serving
- -
- mosec
- -
Runtime
- ai-serving
- -
- mosec
- -
License
- ai-serving
- Apache-2.0
- mosec
- Apache-2.0
Last pushed
- ai-serving
- Feb 24, 2026
- mosec
- Aug 1, 2026
Categories
- ai-serving
- Inference & Serving
- mosec
- Inference & Serving
Trust and health
Maintenance
- ai-serving
- Slowing (36%)
- mosec
- Very active (96%)
Days since push
- ai-serving
- 171d
- mosec
- 0d
Open issues (now)
- ai-serving
- 3
- mosec
- 19
Stars delta
- ai-serving
- 0 (30d)
- mosec
- Unknown
Open issues delta
- ai-serving
- 0 (30d)
- mosec
- Unknown
Full report
- ai-serving
- Trust report
- mosec
- Trust report
Choose ai-serving if…
- ai-serving is primarily Scala; mosec is Python.
- Tags unique to ai-serving: ai-serving, grpc, inference-server, onnx.
- 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 mosec if…
- mosec is primarily Python; ai-serving is Scala.
- Tags unique to mosec: cv, deep-learning, gpu, jax.
- mosec ships Docker support for self-hosted deployment.
- When you need dynamic batching to improve throughput on computational tasks
When NOT to use mosec
- Avoid if you require a tool that integrates directly with Gunicorn or NGINX for serving purposes
- If your deployment environment relies on running more than one process in the container without a supervisor
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 (mosecorg/mosec) · observed Aug 2, 2026
- GitHub forks (mosecorg/mosec) · observed Aug 2, 2026
- Last push (mosecorg/mosec) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ai-serving 166 · mosec 903 (synced Aug 14, 2026).
Common questions
- What is the difference between ai-serving and mosec?
- ai-serving: Serving AI/ML models in open standard formats PMML and ONNX with HTTP and gRPC endpoints. mosec: A high-performance ML model serving framework with dynamic batching and CPU/GPU pipelines. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-serving over mosec?
- Choose ai-serving over mosec when ai-serving is primarily Scala; mosec is Python; Tags unique to ai-serving: ai-serving, grpc, inference-server, onnx; When you need to serve models in both PMML and ONNX formats without manual configuration changes between formats.
- When should I choose mosec over ai-serving?
- Choose mosec over ai-serving when mosec is primarily Python; ai-serving is Scala; Tags unique to mosec: cv, deep-learning, gpu, jax; mosec ships Docker support for self-hosted deployment; When you need dynamic batching to improve throughput on computational tasks.
- 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 mosec?
- Avoid if you require a tool that integrates directly with Gunicorn or NGINX for serving purposes If your deployment environment relies on running more than one process in the container without a supervisor
- Is ai-serving or mosec more popular on GitHub?
- mosec has more GitHub stars (903 vs 166). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-serving and mosec open source?
- Yes - both are open-source projects on GitHub (ai-serving: Apache-2.0, mosec: Apache-2.0).
- Where can I find alternatives to ai-serving or mosec?
- GraphCanon lists graph-backed alternatives at ai-serving alternatives and mosec alternatives (ai-serving markdown twin, mosec 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 mosec?
- ai-serving: Slowing. mosec: 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 mosec?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-serving trust report; mosec trust report.