Comparison
langserve vs infinity
Verdict
Pick langserve if langServe offers tools to deploy and serve models using LangChain with FastAPI; pick infinity if infinity is a high-throughput, low-latency serving engine that supports text-embeddings, reranking models, CLIP, CLAP, and ColPaLi, with GPU acceleration including ROCm and TensorRT.
Markdown twin · langserve alternatives · infinity alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | langserve | infinity |
|---|---|---|
| Maintenance | Archived (94d since push) As of 2w · github_public_v1 | Slowing (136d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · 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
- langserve
- LangServe 🦜️🏓
- infinity
- High-throughput, low-latency serving engine for text-embeddings and various models
Stars
- langserve
- 2.3k
- infinity
- 2.9k
Forks
- langserve
- 272
- infinity
- 196
Open issues
- langserve
- 139
- infinity
- 130
Language
- langserve
- JavaScript
- infinity
- Python
Adopt for
- langserve
- LangServe offers tools to deploy and serve models using LangChain with FastAPI.
- infinity
- Infinity is a high-throughput, low-latency serving engine that supports text-embeddings, reranking models, CLIP, CLAP, and ColPaLi, with GPU acceleration including ROCm and TensorRT.
Persona
- langserve
- -
- infinity
- -
Runtime
- langserve
- -
- infinity
- -
License
- langserve
- Other
- infinity
- MIT
Last pushed
- langserve
- May 5, 2026
- infinity
- Mar 24, 2026
Categories
- langserve
- Inference & Serving
- infinity
- Inference & Serving
Trust and health
Maintenance
- langserve
- Archived (8%)
- infinity
- Slowing (36%)
Days since push
- langserve
- 94d
- infinity
- 136d
Archived on GitHub
- langserve
- Yes
- infinity
- No
Open issues (now)
- langserve
- 139
- infinity
- 130
Owner type
- langserve
- Organization
- infinity
- User
Full report
- langserve
- Trust report
- infinity
- Trust report
Shared compatibility
- Python · langserve: Python runtime · infinity: Python runtime
Choose langserve if…
- langserve is primarily JavaScript; infinity is Python.
- License: langserve is Other, infinity is MIT.
- Tags unique to langserve: deployment, fastapi, langchain, llms.
- 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.
Choose infinity if…
- infinity is primarily Python; langserve is JavaScript.
- License: infinity is MIT, langserve is Other.
- Tags unique to infinity: clap, clip, colpali, docker-container.
- When you need to serve embeddings and various models with high throughput and low latency.
When NOT to use infinity
- Avoid using Infinity if your setup does not require GPU acceleration since its specialized Docker images may introduce unnecessary complexity.
- Do not use Infinity if you are working with models that are not supported by it (such as specific NLP models outside of embeddings and reranking).
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (michaelfeil/infinity) · observed Aug 7, 2026
- GitHub forks (michaelfeil/infinity) · observed Aug 7, 2026
- Last push (michaelfeil/infinity) · observed Mar 24, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langserve 2.3k · infinity 2.9k (synced Aug 8, 2026).
Common questions
- What is the difference between langserve and infinity?
- langserve: LangServe 🦜️🏓. infinity: High-throughput, low-latency serving engine for text-embeddings and various models. See the comparison table for live GitHub stats and shared categories.
- When should I choose langserve over infinity?
- Choose langserve over infinity when langserve is primarily JavaScript; infinity is Python; License: langserve is Other, infinity is MIT; Tags unique to langserve: deployment, fastapi, langchain, llms; 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 choose infinity over langserve?
- Choose infinity over langserve when infinity is primarily Python; langserve is JavaScript; License: infinity is MIT, langserve is Other; Tags unique to infinity: clap, clip, colpali, docker-container; When you need to serve embeddings and various models with high throughput and low latency.
- 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.
- When should I avoid infinity?
- Avoid using Infinity if your setup does not require GPU acceleration since its specialized Docker images may introduce unnecessary complexity. Do not use Infinity if you are working with models that are not supported by it (such as specific NLP models outside of embeddings and reranking).
- Is langserve or infinity more popular on GitHub?
- infinity has more GitHub stars (2,907 vs 2,332). Stars measure visibility, not whether either tool fits your constraints.
- Are langserve and infinity open source?
- Yes - both are open-source projects on GitHub (langserve: Other, infinity: MIT).
- Where can I find alternatives to langserve or infinity?
- GraphCanon lists graph-backed alternatives at langserve alternatives and infinity alternatives (langserve markdown twin, infinity 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, langserve or infinity?
- langserve: Archived. infinity: 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 langserve and infinity?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langserve trust report; infinity trust report.