--- title: "ai-gateway vs oss-llmops-stack" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ferro-labs-ai-gateway-vs-langfuse-oss-llmops-stack" tools: ["ferro-labs-ai-gateway", "langfuse-oss-llmops-stack"] --- # ai-gateway vs oss-llmops-stack *GraphCanon updated Sep 20, 2026* ## Verdict Pick ai-gateway if ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment; 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. [ai-gateway](https://docs.ferrolabs.ai) reports 256 GitHub stars, 35 forks, and 68 open issues, last pushed Sep 10, 2026. [oss-llmops-stack](https://oss-llmops-stack.com) has 152 stars, 8 forks, and 1 open issues, last pushed Jul 28, 2026. Figures are from public GitHub metadata via [ai-gateway's repository](https://github.com/ferro-labs/ai-gateway) and [oss-llmops-stack's repository](https://github.com/langfuse/oss-llmops-stack). | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [oss-llmops-stack](/tools/langfuse-oss-llmops-stack.md) | | --- | --- | --- | | Tagline | Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls | Modular open source LLMOps stack for LLM API unification, observability and prompt management | | Stars | 256 | 152 | | Forks | 35 | 8 | | Open issues | 68 | 1 | | Language | Go | - | | Adopt for | ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment. | The OSS LLMOps Stack is designed for managing and unifying LLM APIs with LiteLLM, and providing detailed observability through Langfuse. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 - a permissive free software license | MIT | | Categories | Inference & Serving, Model Training | Evaluation & Observability, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [oss-llmops-stack](/tools/langfuse-oss-llmops-stack.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 2d | 53d | | Open issues (now) | 68 | 1 | | Stars delta | +37 (30d) | +10 (30d) | | Open issues delta | +5 (30d) | 0 (30d) | | Full report | [trust report](/tools/ferro-labs-ai-gateway/trust.md) | [trust report](/tools/langfuse-oss-llmops-stack/trust.md) | ## Decision facts: ai-gateway - **Adopt for:** ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment. - **License detail:** Apache-2.0 - a permissive free software license ## 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. ## Choose when ### Choose ai-gateway if… - License: ai-gateway is Apache-2.0, oss-llmops-stack is MIT. - Tags unique to ai-gateway: litellm, llm-cost, llm-proxy, openai-compatible. - Also covers Model Training. - When you need to integrate more than 30 different LLM services including OpenAI and Anthropic ### Choose oss-llmops-stack if… - License: oss-llmops-stack is MIT, ai-gateway 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: llm-evaluation, open-source, prompt-management. - Also covers Evaluation & Observability. - 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 NOT to use ai-gateway - If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features - For small-scale projects that do not require comprehensive cost analysis tools - When custom integration for specific guardrails is required, as ai-gateway offers generalized settings ## 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. ## Common questions ### What is the difference between ai-gateway and oss-llmops-stack? ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. oss-llmops-stack: Modular open source LLMOps stack for LLM API unification, observability and prompt management. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-gateway over oss-llmops-stack? Choose ai-gateway over oss-llmops-stack when License: ai-gateway is Apache-2.0, oss-llmops-stack is MIT; Tags unique to ai-gateway: litellm, llm-cost, llm-proxy, openai-compatible; Also covers Model Training; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic. ### When should I choose oss-llmops-stack over ai-gateway? Choose oss-llmops-stack over ai-gateway when License: oss-llmops-stack is MIT, ai-gateway 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: llm-evaluation, open-source, prompt-management; Also covers Evaluation & Observability; 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 avoid ai-gateway? If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features For small-scale projects that do not require comprehensive cost analysis tools When custom integration for specific guardrails is required, as ai-gateway offers generalized settings ### 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. ### Is ai-gateway or oss-llmops-stack more popular on GitHub? ai-gateway has more GitHub stars (256 vs 152). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-gateway and oss-llmops-stack open source? Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, oss-llmops-stack: MIT). ### Where can I find alternatives to ai-gateway or oss-llmops-stack? GraphCanon lists graph-backed alternatives at [ai-gateway alternatives](/tools/ferro-labs-ai-gateway/alternatives) and [oss-llmops-stack alternatives](/tools/langfuse-oss-llmops-stack/alternatives) ([ai-gateway markdown twin](/tools/ferro-labs-ai-gateway/alternatives.md), [oss-llmops-stack markdown twin](/tools/langfuse-oss-llmops-stack/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/ferro-labs-ai-gateway-vs-langfuse-oss-llmops-stack.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-gateway or oss-llmops-stack? ai-gateway: Very active. oss-llmops-stack: Steady. 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-gateway and oss-llmops-stack? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-gateway trust report](/tools/ferro-labs-ai-gateway/trust); [oss-llmops-stack trust report](/tools/langfuse-oss-llmops-stack/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ferro-labs-ai-gateway`](/api/graphcanon/graph?tool=ferro-labs-ai-gateway) - 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/_