--- title: "langserve vs infinity" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-langserve-vs-michaelfeil-infinity" tools: ["langchain-ai-langserve", "michaelfeil-infinity"] --- # langserve vs infinity *GraphCanon updated Aug 8, 2026* ## 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. [langserve](https://github.com/langchain-ai/langserve) reports 2.3k GitHub stars, 272 forks, and 139 open issues, last pushed May 5, 2026. [infinity](https://michaelfeil.github.io/infinity/) has 2.9k stars, 196 forks, and 130 open issues, last pushed Mar 24, 2026. Figures are from public GitHub metadata via [langserve's repository](https://github.com/langchain-ai/langserve) and [infinity's repository](https://github.com/michaelfeil/infinity). | | [langserve](/tools/langchain-ai-langserve.md) | [infinity](/tools/michaelfeil-infinity.md) | | --- | --- | --- | | Tagline | LangServe 🦜️🏓 | High-throughput, low-latency serving engine for text-embeddings and various models | | Stars | 2,332 | 2,907 | | Forks | 272 | 196 | | Open issues | 139 | 130 | | Language | JavaScript | Python | | Adopt for | LangServe offers tools to deploy and serve models using LangChain with FastAPI. | 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 | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langserve](/tools/langchain-ai-langserve.md) | [infinity](/tools/michaelfeil-infinity.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Slowing (36%) | | Days since push | 94d | 136d | | Archived on GitHub | Yes | No | | Open issues (now) | 139 | 130 | | Owner type | Organization | User | | Full report | [trust report](/tools/langchain-ai-langserve/trust.md) | [trust report](/tools/michaelfeil-infinity/trust.md) | ## Shared compatibility - **Python**: [langserve](/tools/langchain-ai-langserve.md) - Python runtime; [infinity](/tools/michaelfeil-infinity.md) - Python runtime ## Decision facts: langserve - **Adopt for:** LangServe offers tools to deploy and serve models using LangChain with FastAPI. ## Decision facts: infinity - **Adopt for:** 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. ## Choose when ### 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. ### 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 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 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). ## 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](/tools/langchain-ai-langserve/alternatives) and [infinity alternatives](/tools/michaelfeil-infinity/alternatives) ([langserve markdown twin](/tools/langchain-ai-langserve/alternatives.md), [infinity markdown twin](/tools/michaelfeil-infinity/alternatives.md)), 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](/compare/langchain-ai-langserve-vs-michaelfeil-infinity.md) 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](/tools/langchain-ai-langserve/trust); [infinity trust report](/tools/michaelfeil-infinity/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langchain-ai-langserve`](/api/graphcanon/graph?tool=langchain-ai-langserve) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_