Comparison
ai-serving vs sarathi-serve
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 sarathi-serve if sarathi Serve targets efficient low-latency and high-throughput inference for LLMs using Python.
Markdown twin · ai-serving alternatives · sarathi-serve alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | ai-serving | sarathi-serve |
|---|---|---|
| Maintenance | Slowing (171d since push) As of 1w · github_public_v1 | Slowing (229d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of today · 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
- sarathi-serve
- A low-latency and high-throughput serving engine for LLMs
Stars
- ai-serving
- 166
- sarathi-serve
- 520
Forks
- ai-serving
- 31
- sarathi-serve
- 65
Open issues
- ai-serving
- 3
- sarathi-serve
- 16
Language
- ai-serving
- Scala
- sarathi-serve
- 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.
- sarathi-serve
- Sarathi Serve targets efficient low-latency and high-throughput inference for LLMs using Python.
Persona
- ai-serving
- -
- sarathi-serve
- -
Runtime
- ai-serving
- -
- sarathi-serve
- -
License
- ai-serving
- Apache-2.0
- sarathi-serve
- Apache-2.0
Last pushed
- ai-serving
- Feb 24, 2026
- sarathi-serve
- Jan 8, 2026
Categories
- ai-serving
- Inference & Serving
- sarathi-serve
- Inference & Serving
Trust and health
Days since push
- ai-serving
- 171d
- sarathi-serve
- 229d
Open issues (now)
- ai-serving
- 3
- sarathi-serve
- 16
Stars delta
- ai-serving
- 0 (30d)
- sarathi-serve
- +8 (30d)
Full report
- ai-serving
- Trust report
- sarathi-serve
- Trust report
Choose ai-serving if…
- ai-serving is primarily Scala; sarathi-serve 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 sarathi-serve if…
- sarathi-serve is primarily Python; ai-serving is Scala.
- Tags unique to sarathi-serve: llama, llm-inference, pytorch, transformer.
- Optimize Python-based projects needing quick responses from large language models.
When NOT to use sarathi-serve
- Necessitate a non-Python environment for deployment and operation.
- Prefer a tool that incorporates more than just low-latency, high-throughput focus such as multi-language support or specialized optimizations.
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 (microsoft/sarathi-serve) · observed Aug 25, 2026
- GitHub forks (microsoft/sarathi-serve) · observed Aug 25, 2026
- Last push (microsoft/sarathi-serve) · observed Jan 8, 2026
- License file (Apache-2.0) · observed Aug 25, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ai-serving 166 · sarathi-serve 520 (synced Aug 14, 2026).
Common questions
- What is the difference between ai-serving and sarathi-serve?
- ai-serving: Serving AI/ML models in open standard formats PMML and ONNX with HTTP and gRPC endpoints. sarathi-serve: A low-latency and high-throughput serving engine for LLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-serving over sarathi-serve?
- Choose ai-serving over sarathi-serve when ai-serving is primarily Scala; sarathi-serve 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 sarathi-serve over ai-serving?
- Choose sarathi-serve over ai-serving when sarathi-serve is primarily Python; ai-serving is Scala; Tags unique to sarathi-serve: llama, llm-inference, pytorch, transformer; Optimize Python-based projects needing quick responses from large language models.
- 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 sarathi-serve?
- Necessitate a non-Python environment for deployment and operation. Prefer a tool that incorporates more than just low-latency, high-throughput focus such as multi-language support or specialized optimizations.
- Is ai-serving or sarathi-serve more popular on GitHub?
- sarathi-serve has more GitHub stars (520 vs 166). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-serving and sarathi-serve open source?
- Yes - both are open-source projects on GitHub (ai-serving: Apache-2.0, sarathi-serve: Apache-2.0).
- Where can I find alternatives to ai-serving or sarathi-serve?
- GraphCanon lists graph-backed alternatives at ai-serving alternatives and sarathi-serve alternatives (ai-serving markdown twin, sarathi-serve 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 sarathi-serve?
- ai-serving: Slowing. sarathi-serve: Slowing. 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 sarathi-serve?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-serving trust report; sarathi-serve trust report.