--- title: "litellm vs plano" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/berriai-litellm-vs-katanemo-plano" tools: ["berriai-litellm", "katanemo-plano"] --- # litellm vs plano Neutral, constraint-first comparison with live GitHub stats. | | [litellm](/tools/berriai-litellm.md) | [plano](/tools/katanemo-plano.md) | | --- | --- | --- | | Tagline | LiteLLM AI Gateway: Open Source AI Gateway for 100+ LLMs | AI-native proxy server and data plane for agentic apps | | Stars | 52,933 | 6,688 | | Forks | 9,554 | 443 | | Open issues | 3,724 | 132 | | Language | Python | Rust | | Adopt for | LiteLLM provides an open-source AI gateway for over 100 LLMs, integrating them via OpenAI format and offering features like cost tracking, guardrails, load balancing, and logging. | Plano is an AI-native proxy server and data plane designed to support agentic applications by handling orchestration, safety, observability, and smart LLM routing. It leverages Rust for efficiency and uses a modular, out | | Persona | - | - | | Runtime | - | - | | License | The specific license details are categorized as 'Other', indicating it's neither a standard open-source license like MIT, Apache 2.0 nor GPL. It’s crucial to check the precise licensing terms directly | Apache-2.0 | | Categories | Inference & Serving | Evaluation & Observability, Inference & Serving, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [litellm](/tools/berriai-litellm.md) | [plano](/tools/katanemo-plano.md) | | --- | --- | --- | | Open issues (now) | 3.7k | 132 | | Security scan | 2 low (2 low) | No lockfile | | Full report | [trust report](/tools/berriai-litellm/trust.md) | [trust report](/tools/katanemo-plano/trust.md) | **Typed relationship:** litellm _(alternative)_ plano Both Plano and LiteLLM provide an open-source gateway solution and integrate LLM routing with safety and observability features, making them direct alternatives in the AI toolkit ecosystem. ## Decision facts: litellm - **Requirements:** Min 4 GB RAM; - Requires Python for installation and operation.; - Supports deployment as a standalone application or integrated into larger applications via library calls. - **Adopt for:** LiteLLM provides an open-source AI gateway for over 100 LLMs, integrating them via OpenAI format and offering features like cost tracking, guardrails, load balancing, and logging. - **License detail:** The specific license details are categorized as 'Other', indicating it's neither a standard open-source license like MIT, Apache 2.0 nor GPL. It’s crucial to check the precise licensing terms directly ## Decision facts: plano - **Adopt for:** Plano is an AI-native proxy server and data plane designed to support agentic applications by handling orchestration, safety, observability, and smart LLM routing. It leverages Rust for efficiency and uses a modular, out ## Choose when ### Choose litellm if… - litellm is primarily Python; plano is Rust. - License: litellm is Other, plano is Apache-2.0. - Requirements: Min 4 GB RAM; - Requires Python for installation and operation.; - Supports deployment as a standalone application or integrated into larger applications via library calls.. - Both Plano and LiteLLM provide an open-source gateway solution and integrate LLM routing with safety and observability features, making them direct alternatives in the AI toolkit ecosystem. - Tags unique to litellm: llmops, rust, bedrock, openai. - - You require a unified interface to integrate multiple LLM providers (OpenAI, Anthropic, Bedrock, Azure, etc.) using the OpenAI format. ### Choose plano if… - plano is primarily Rust; litellm is Python. - License: plano is Apache-2.0, litellm is Other. - Both Plano and LiteLLM provide an open-source gateway solution and integrate LLM routing with safety and observability features, making them direct alternatives in the AI toolkit ecosystem. - Tags unique to plano: llm-routing, orchestration, proxy-server, observability. - Also covers Evaluation & Observability, AI Agents. - - When you need to decouple essential functionalities such as agent routing, orchestration, moderation policies, and model agility from your application code. ## When NOT to use litellm - - If your application only needs to integrate with a single LLM provider that does not require the OpenAI standard interface. - - Your project prioritizes proprietary or closed-source solutions; LiteLLM is open source and may lack some commercial support or enterprise-grade add-ons available in paid alternatives. ## When NOT to use plano - - If your project requires only basic functionalities without advanced orchestration or model management, Plano's comprehensive features may introduce unnecessary complexity. - - When focusing on a specific language or framework that does not benefit significantly from the modular and multi-framework support offered by Plano. - - For scenarios where the additional layer of an out-of-process data plane might increase latency beyond acceptable levels for your application. ## Common questions ### What is the difference between litellm and plano? litellm: LiteLLM AI Gateway: Open Source AI Gateway for 100+ LLMs. plano: AI-native proxy server and data plane for agentic apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose litellm over plano? Choose litellm over plano when litellm is primarily Python; plano is Rust; License: litellm is Other, plano is Apache-2.0; Requirements: Min 4 GB RAM; - Requires Python for installation and operation.; - Supports deployment as a standalone application or integrated into larger applications via library calls.; Both Plano and LiteLLM provide an open-source gateway solution and integrate LLM routing with safety and observability features, making them direct alternatives in the AI toolkit ecosystem; Tags unique to litellm: llmops, rust, bedrock, openai; - You require a unified interface to integrate multiple LLM providers (OpenAI, Anthropic, Bedrock, Azure, etc.) using the OpenAI format. ### When should I choose plano over litellm? Choose plano over litellm when plano is primarily Rust; litellm is Python; License: plano is Apache-2.0, litellm is Other; Both Plano and LiteLLM provide an open-source gateway solution and integrate LLM routing with safety and observability features, making them direct alternatives in the AI toolkit ecosystem; Tags unique to plano: llm-routing, orchestration, proxy-server, observability; Also covers Evaluation & Observability, AI Agents; - When you need to decouple essential functionalities such as agent routing, orchestration, moderation policies, and model agility from your application code. ### When should I avoid litellm? - If your application only needs to integrate with a single LLM provider that does not require the OpenAI standard interface. - Your project prioritizes proprietary or closed-source solutions; LiteLLM is open source and may lack some commercial support or enterprise-grade add-ons available in paid alternatives. ### When should I avoid plano? - If your project requires only basic functionalities without advanced orchestration or model management, Plano's comprehensive features may introduce unnecessary complexity. - When focusing on a specific language or framework that does not benefit significantly from the modular and multi-framework support offered by Plano. - For scenarios where the additional layer of an out-of-process data plane might increase latency beyond acceptable levels for your application. ### Is litellm or plano more popular on GitHub? litellm has more GitHub stars (52,933 vs 6,688). Stars measure visibility, not whether either tool fits your constraints. ### Are litellm and plano open source? Yes - both are open-source projects on GitHub (litellm: Other, plano: Apache-2.0). ### Where can I find alternatives to litellm or plano? GraphCanon lists graph-backed alternatives at /tools/berriai-litellm/alternatives and /tools/katanemo-plano/alternatives (/tools/berriai-litellm/alternatives.md, /tools/katanemo-plano/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 /compare/berriai-litellm-vs-katanemo-plano.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, litellm or plano? litellm: Very active. plano: 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 litellm and plano? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm: /tools/berriai-litellm/trust; plano: /tools/katanemo-plano/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=berriai-litellm`](/api/graphcanon/graph?tool=berriai-litellm) - 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/_