--- title: "oss-llmops-stack vs openlit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langfuse-oss-llmops-stack-vs-openlit-openlit" tools: ["langfuse-oss-llmops-stack", "openlit-openlit"] --- # oss-llmops-stack vs openlit *GraphCanon updated Aug 1, 2026* ## Verdict Pick oss-llmops-stack if the OSS LLMOps Stack is designed for managing and unifying LLM APIs with LiteLLM, and providing detailed observability through Langfuse; pick openlit if decision-critical facts for OpenLIT are centered around its unique features in LLM observability, GPU monitoring, and extensive integration capabilities. [oss-llmops-stack](https://oss-llmops-stack.com) reports 142 GitHub stars, 7 forks, and 1 open issues, last pushed Jul 28, 2026. [openlit](https://docs.openlit.io) has 2.7k stars, 342 forks, and 48 open issues, last pushed Jul 31, 2026. Figures are from public GitHub metadata via [oss-llmops-stack's repository](https://github.com/langfuse/oss-llmops-stack) and [openlit's repository](https://github.com/openlit/openlit). | | [oss-llmops-stack](/tools/langfuse-oss-llmops-stack.md) | [openlit](/tools/openlit-openlit.md) | | --- | --- | --- | | Tagline | Modular open source LLMOps stack for LLM API unification, observability and prompt management | A comprehensive open-source platform for AI Engineering with LLM Observability, Monitoring, and Management | | Stars | 142 | 2,664 | | Forks | 7 | 342 | | Open issues | 1 | 48 | | Language | - | TypeScript | | Adopt for | The OSS LLMOps Stack is designed for managing and unifying LLM APIs with LiteLLM, and providing detailed observability through Langfuse. | Decision-critical facts for OpenLIT are centered around its unique features in LLM observability, GPU monitoring, and extensive integration capabilities. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Evaluation & Observability, Inference & Serving | Evaluation & Observability, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [oss-llmops-stack](/tools/langfuse-oss-llmops-stack.md) | [openlit](/tools/openlit-openlit.md) | | --- | --- | --- | | Open issues (now) | 1 | 48 | | Full report | [trust report](/tools/langfuse-oss-llmops-stack/trust.md) | [trust report](/tools/openlit-openlit/trust.md) | ## Decision facts: oss-llmops-stack - **Requirements:** Ensure your environment supports both LiteLLM and Langfuse functionalities for seamless operation of the OSS LLMOps Stack.; Consider server capacity to handle the additional load introduced by using this stack for API unification and observability services. - **Adopt for:** The OSS LLMOps Stack is designed for managing and unifying LLM APIs with LiteLLM, and providing detailed observability through Langfuse. ## Decision facts: openlit - **Pricing:** freemium - **Adopt for:** Decision-critical facts for OpenLIT are centered around its unique features in LLM observability, GPU monitoring, and extensive integration capabilities. - **License detail:** Apache-2.0 ## Choose when ### Choose oss-llmops-stack if… - License: oss-llmops-stack is MIT, openlit is Apache-2.0. - Requirements: Ensure your environment supports both LiteLLM and Langfuse functionalities for seamless operation of the OSS LLMOps Stack.; Consider server capacity to handle the additional load introduced by using this stack for API unification and observability services.. - Tags unique to oss-llmops-stack: ai-gateway, llm-evaluation, open-source, prompt management. - When you need to unify Multiple Large Language Model (LLM) APIs using LiteLLM's API mediation capabilities for efficient routing, cost control, and high-availability support. ### Choose openlit if… - License: openlit is Apache-2.0, oss-llmops-stack is MIT. - Tags unique to openlit: ai-observability, gpu-monitoring, langchain, llmops. - openlit ships Docker support for self-hosted deployment. - When you need comprehensive observability features native to OpenTelemetry, allowing seamless trace and metric management with an out-of-the-box solution. ## When NOT to use oss-llmops-stack - If your operational requirements are simple and you do not need comprehensive observability metrics or advanced LLM API unification capabilities provided by the stack. - In scenarios where you prefer a proprietary software solution over an open-source tool for security, support, or compliance reasons. ## When NOT to use openlit - If your project strictly requires a proprietary tool or if you have specific requirements that are not covered by OpenLIT's integrations, such as unique vector databases not yet supported. - When the team lacks the expertise in TypeScript or Python SDK to efficiently manage and implement observability into their current workflows with OpenLIT. ## Common questions ### What is the difference between oss-llmops-stack and openlit? oss-llmops-stack: Modular open source LLMOps stack for LLM API unification, observability and prompt management. openlit: A comprehensive open-source platform for AI Engineering with LLM Observability, Monitoring, and Management. See the comparison table for live GitHub stats and shared categories. ### When should I choose oss-llmops-stack over openlit? Choose oss-llmops-stack over openlit when License: oss-llmops-stack is MIT, openlit is Apache-2.0; Requirements: Ensure your environment supports both LiteLLM and Langfuse functionalities for seamless operation of the OSS LLMOps Stack.; Consider server capacity to handle the additional load introduced by using this stack for API unification and observability services.; Tags unique to oss-llmops-stack: ai-gateway, llm-evaluation, open-source, prompt management; When you need to unify Multiple Large Language Model (LLM) APIs using LiteLLM's API mediation capabilities for efficient routing, cost control, and high-availability support. ### When should I choose openlit over oss-llmops-stack? Choose openlit over oss-llmops-stack when License: openlit is Apache-2.0, oss-llmops-stack is MIT; Tags unique to openlit: ai-observability, gpu-monitoring, langchain, llmops; openlit ships Docker support for self-hosted deployment; When you need comprehensive observability features native to OpenTelemetry, allowing seamless trace and metric management with an out-of-the-box solution. ### When should I avoid oss-llmops-stack? If your operational requirements are simple and you do not need comprehensive observability metrics or advanced LLM API unification capabilities provided by the stack. In scenarios where you prefer a proprietary software solution over an open-source tool for security, support, or compliance reasons. ### When should I avoid openlit? If your project strictly requires a proprietary tool or if you have specific requirements that are not covered by OpenLIT's integrations, such as unique vector databases not yet supported. When the team lacks the expertise in TypeScript or Python SDK to efficiently manage and implement observability into their current workflows with OpenLIT. ### Is oss-llmops-stack or openlit more popular on GitHub? openlit has more GitHub stars (2,664 vs 142). Stars measure visibility, not whether either tool fits your constraints. ### Are oss-llmops-stack and openlit open source? Yes - both are open-source projects on GitHub (oss-llmops-stack: MIT, openlit: Apache-2.0). ### Where can I find alternatives to oss-llmops-stack or openlit? GraphCanon lists graph-backed alternatives at [oss-llmops-stack alternatives](/tools/langfuse-oss-llmops-stack/alternatives) and [openlit alternatives](/tools/openlit-openlit/alternatives) ([oss-llmops-stack markdown twin](/tools/langfuse-oss-llmops-stack/alternatives.md), [openlit markdown twin](/tools/openlit-openlit/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/langfuse-oss-llmops-stack-vs-openlit-openlit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, oss-llmops-stack or openlit? oss-llmops-stack: Very active. openlit: Very active. 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 oss-llmops-stack and openlit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [oss-llmops-stack trust report](/tools/langfuse-oss-llmops-stack/trust); [openlit trust report](/tools/openlit-openlit/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langfuse-oss-llmops-stack`](/api/graphcanon/graph?tool=langfuse-oss-llmops-stack) - 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/_