--- title: "langserve vs Server" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-langserve-vs-rubixml-server" tools: ["langchain-ai-langserve", "rubixml-server"] --- # langserve vs Server *GraphCanon updated Sep 20, 2026* ## Verdict Pick langserve if langServe offers tools to deploy and serve models using LangChain with FastAPI; pick Server if server is a standalone HTTP-based inference server for deploying Rubix ML estimators using PHP. [langserve](https://github.com/langchain-ai/langserve) reports 2.3k GitHub stars, 270 forks, and 139 open issues, last pushed May 5, 2026. [Server](https://rubixml.github.io/ML) has 63 stars, 13 forks, and 1 open issues, last pushed Mar 3, 2026. Figures are from public GitHub metadata via [langserve's repository](https://github.com/langchain-ai/langserve) and [Server's repository](https://github.com/RubixML/Server). | | [langserve](/tools/langchain-ai-langserve.md) | [Server](/tools/rubixml-server.md) | | --- | --- | --- | | Tagline | LangServe 🦜️🏓 | Standalone inference server for Rubix ML estimators. | | Stars | 2,328 | 63 | | Forks | 270 | 13 | | Open issues | 139 | 1 | | Language | JavaScript | PHP | | Adopt for | LangServe offers tools to deploy and serve models using LangChain with FastAPI. | Server is a standalone HTTP-based inference server for deploying Rubix ML estimators using PHP. | | 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) | [Server](/tools/rubixml-server.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Slowing (36%) | | Days since push | 124d | 201d | | Archived on GitHub | Yes | No | | Open issues (now) | 139 | 1 | | Stars delta | -4 (30d) | 0 (30d) | | Full report | [trust report](/tools/langchain-ai-langserve/trust.md) | [trust report](/tools/rubixml-server/trust.md) | ## Decision facts: langserve - **Adopt for:** LangServe offers tools to deploy and serve models using LangChain with FastAPI. ## Decision facts: Server - **Adopt for:** Server is a standalone HTTP-based inference server for deploying Rubix ML estimators using PHP. ## Choose when ### Choose langserve if… - langserve is primarily JavaScript; Server is PHP. - License: langserve is Other, Server is MIT. - 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. ### Choose Server if… - Server is primarily PHP; langserve is JavaScript. - License: Server is MIT, langserve is Other. - Tags unique to Server: api, http-server, inference-engine, infrastructure. - When you are working with machine learning models trained in the Rubix ML framework and need to deploy them via a PHP-based infrastructure. ## 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 Server - Avoid using if your primary technology stack is not based on PHP, as it would necessitate integration with a non-native language environment, increasing complexity. - Do not use this tool for large-scale deployments requiring high throughput and low latency typical of more robust languages like Python or Rust. ## Common questions ### What is the difference between langserve and Server? langserve: LangServe 🦜️🏓. Server: Standalone inference server for Rubix ML estimators.. See the comparison table for live GitHub stats and shared categories. ### When should I choose langserve over Server? Choose langserve over Server when langserve is primarily JavaScript; Server is PHP; License: langserve is Other, Server is MIT; 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 choose Server over langserve? Choose Server over langserve when Server is primarily PHP; langserve is JavaScript; License: Server is MIT, langserve is Other; Tags unique to Server: api, http-server, inference-engine, infrastructure; When you are working with machine learning models trained in the Rubix ML framework and need to deploy them via a PHP-based infrastructure. ### 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 Server? Avoid using if your primary technology stack is not based on PHP, as it would necessitate integration with a non-native language environment, increasing complexity. Do not use this tool for large-scale deployments requiring high throughput and low latency typical of more robust languages like Python or Rust. ### Is langserve or Server more popular on GitHub? langserve has more GitHub stars (2,328 vs 63). Stars measure visibility, not whether either tool fits your constraints. ### Are langserve and Server open source? Yes - both are open-source projects on GitHub (langserve: Other, Server: MIT). ### Where can I find alternatives to langserve or Server? GraphCanon lists graph-backed alternatives at [langserve alternatives](/tools/langchain-ai-langserve/alternatives) and [Server alternatives](/tools/rubixml-server/alternatives) ([langserve markdown twin](/tools/langchain-ai-langserve/alternatives.md), [Server markdown twin](/tools/rubixml-server/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-rubixml-server.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langserve or Server? langserve: Archived. Server: 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 Server? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langserve trust report](/tools/langchain-ai-langserve/trust); [Server trust report](/tools/rubixml-server/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/_