Comparison
ai-serving vs langserve
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 langserve if langServe offers tools to deploy and serve models using LangChain with FastAPI.
Markdown twin · ai-serving alternatives · langserve alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | ai-serving | langserve |
|---|---|---|
| Maintenance | Slowing (171d since push) As of 1w · github_public_v1 | Archived (94d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 1w · 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
- langserve
- LangServe 🦜️🏓
Stars
- ai-serving
- 166
- langserve
- 2.3k
Forks
- ai-serving
- 31
- langserve
- 272
Open issues
- ai-serving
- 3
- langserve
- 139
Language
- ai-serving
- Scala
- langserve
- JavaScript
Adopt for
- ai-serving
- Ai-Serving is an inference server supporting PMML and ONNX formats via HTTP or gRPC endpoints, easily deployable with Docker.
- langserve
- LangServe offers tools to deploy and serve models using LangChain with FastAPI.
Persona
- ai-serving
- -
- langserve
- -
Runtime
- ai-serving
- -
- langserve
- -
License
- ai-serving
- Apache-2.0
- langserve
- Other
Last pushed
- ai-serving
- Feb 24, 2026
- langserve
- May 5, 2026
Categories
- ai-serving
- Inference & Serving
- langserve
- Inference & Serving
Trust and health
Maintenance
- ai-serving
- Slowing (36%)
- langserve
- Archived (8%)
Days since push
- ai-serving
- 171d
- langserve
- 94d
Archived on GitHub
- ai-serving
- No
- langserve
- Yes
Open issues (now)
- ai-serving
- 3
- langserve
- 139
Stars delta
- ai-serving
- 0 (30d)
- langserve
- Unknown
Open issues delta
- ai-serving
- 0 (30d)
- langserve
- Unknown
Full report
- ai-serving
- Trust report
- langserve
- Trust report
Choose ai-serving if…
- ai-serving is primarily Scala; langserve is JavaScript.
- License: ai-serving is Apache-2.0, langserve is Other.
- 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 langserve if…
- langserve is primarily JavaScript; ai-serving is Scala.
- License: langserve is Other, ai-serving is Apache-2.0.
- Tags unique to langserve: deployment, fastapi, langchain, llm.
- When you are working in an environment where models need to be served efficiently and require the capabilities of both LangChain and FastAPI.
When NOT to use langserve
- When you prefer using frameworks or tools that are not built around Python's ecosystem and require languages like JavaScript or Java.
- If your project specifically requires a non-FastAPI backend for serving models because of specific performance criteria, constraints, or compatibility issues with FastAPI.
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 (langchain-ai/langserve) · observed Aug 8, 2026
- GitHub forks (langchain-ai/langserve) · observed Aug 8, 2026
- Last push (langchain-ai/langserve) · observed May 5, 2026
- License file (Other) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ai-serving 166 · langserve 2.3k (synced Aug 14, 2026).
Common questions
- What is the difference between ai-serving and langserve?
- ai-serving: Serving AI/ML models in open standard formats PMML and ONNX with HTTP and gRPC endpoints. langserve: LangServe 🦜️🏓. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-serving over langserve?
- Choose ai-serving over langserve when ai-serving is primarily Scala; langserve is JavaScript; License: ai-serving is Apache-2.0, langserve is Other; 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 langserve over ai-serving?
- Choose langserve over ai-serving when langserve is primarily JavaScript; ai-serving is Scala; License: langserve is Other, ai-serving is Apache-2.0; Tags unique to langserve: deployment, fastapi, langchain, llm; When you are working in an environment where models need to be served efficiently and require the capabilities of both LangChain and FastAPI.
- 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 langserve?
- When you prefer using frameworks or tools that are not built around Python's ecosystem and require languages like JavaScript or Java. If your project specifically requires a non-FastAPI backend for serving models because of specific performance criteria, constraints, or compatibility issues with FastAPI.
- Is ai-serving or langserve more popular on GitHub?
- langserve has more GitHub stars (2,332 vs 166). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-serving and langserve open source?
- Yes - both are open-source projects on GitHub (ai-serving: Apache-2.0, langserve: Other).
- Where can I find alternatives to ai-serving or langserve?
- GraphCanon lists graph-backed alternatives at ai-serving alternatives and langserve alternatives (ai-serving markdown twin, langserve 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 langserve?
- ai-serving: Slowing. langserve: Archived. 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 langserve?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-serving trust report; langserve trust report.