--- title: "litellm vs cactus" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/berriai-litellm-vs-cactus-compute-cactus" tools: ["berriai-litellm", "cactus-compute-cactus"] --- # litellm vs cactus *GraphCanon updated Jul 12, 2026* ## Verdict Pick litellm if litellm is a Python SDK and Proxy Server that facilitates the interaction with over 100 LLM APIs, offering features such as cost tracking, guardrails, load balancing, and logging; pick cactus if cactus - Low-latency AI engine optimized for mobile and wearable devices. [litellm](https://docs.litellm.ai/docs/) reports 53k GitHub stars, 9.7k forks, and 3.9k open issues, last pushed Jul 11, 2026. [cactus](https://cactuscompute.com) has 5.4k stars, 437 forks, and 73 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [litellm's repository](https://github.com/BerriAI/litellm) and [cactus's repository](https://github.com/cactus-compute/cactus). | | [litellm](/tools/berriai-litellm.md) | [cactus](/tools/cactus-compute-cactus.md) | | --- | --- | --- | | Tagline | Python SDK and Proxy Server for calling multiple LLM APIs | Low-latency AI engine for mobile devices & wearables | | Stars | 53,271 | 5,401 | | Forks | 9,671 | 437 | | Open issues | 3,915 | 73 | | Language | Python | C++ | | Adopt for | litellm is a Python SDK and Proxy Server that facilitates the interaction with over 100 LLM APIs, offering features such as cost tracking, guardrails, load balancing, and logging. | Cactus - Low-latency AI engine optimized for mobile and wearable devices. | | Persona | - | - | | Runtime | - | - | | License | The licensing terms for LiteLLM are provided under a license type categorized as 'Other'; details of the exact license should be referenced directly from its source. | Other | | Categories | LLM Frameworks, Inference & Serving | Inference & Serving, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [litellm](/tools/berriai-litellm.md) | [cactus](/tools/cactus-compute-cactus.md) | | --- | --- | --- | | Open issues (now) | 3.9k | 73 | | Security scan | 2 low (2 low) | No lockfile | | Full report | [trust report](/tools/berriai-litellm/trust.md) | [trust report](/tools/cactus-compute-cactus/trust.md) | ## Decision facts: litellm - **Pricing:** freemium - While the core functionality is provided free, specific extended features might require a paid plan. - **Requirements:** Requires Docker - **Adopt for:** litellm is a Python SDK and Proxy Server that facilitates the interaction with over 100 LLM APIs, offering features such as cost tracking, guardrails, load balancing, and logging. - **License detail:** The licensing terms for LiteLLM are provided under a license type categorized as 'Other'; details of the exact license should be referenced directly from its source. ## Decision facts: cactus - **Pricing:** unknown - **Adopt for:** Cactus - Low-latency AI engine optimized for mobile and wearable devices. - **License detail:** Other ## Choose when ### Choose litellm if… - litellm is primarily Python; cactus is C++. - Pricing: While the core functionality is provided free, specific extended features might require a paid plan.. - Requirements: Requires Docker. - Tags unique to litellm: llm, bedrock, ai-gateway, openai. - Also covers LLM Frameworks. - litellm ships Docker support for self-hosted deployment. - When you need to integrate multiple LLM (Language Learning Modelling) APIs into your application across different providers like Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, Hugging ### Choose cactus if… - cactus is primarily C++; litellm is Python. - Tags unique to cactus: android, arm, ai, llamacpp. - Also covers Speech & Audio. - - When you need fast response times on mobile or wearable devices for tasks like speech recognition and general inference. ## When NOT to use litellm - If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill. ## When NOT to use cactus - - In situations that require high-complexity AI applications beyond general inference, such as detailed image segmentation or extensive natural language understanding tasks. - - When working with desktop or server environments, as Cactus is specifically optimized for mobile and wearable hardware constraints. ## Common questions ### What is the difference between litellm and cactus? litellm: Python SDK and Proxy Server for calling multiple LLM APIs. cactus: Low-latency AI engine for mobile devices & wearables. See the comparison table for live GitHub stats and shared categories. ### When should I choose litellm over cactus? Choose litellm over cactus when litellm is primarily Python; cactus is C++; Pricing: While the core functionality is provided free, specific extended features might require a paid plan.; Requirements: Requires Docker; Tags unique to litellm: llm, bedrock, ai-gateway, openai; Also covers LLM Frameworks; litellm ships Docker support for self-hosted deployment; When you need to integrate multiple LLM (Language Learning Modelling) APIs into your application across different providers like Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, Hugging. ### When should I choose cactus over litellm? Choose cactus over litellm when cactus is primarily C++; litellm is Python; Tags unique to cactus: android, arm, ai, llamacpp; Also covers Speech & Audio; - When you need fast response times on mobile or wearable devices for tasks like speech recognition and general inference. ### When should I avoid litellm? If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill. ### When should I avoid cactus? - In situations that require high-complexity AI applications beyond general inference, such as detailed image segmentation or extensive natural language understanding tasks. - When working with desktop or server environments, as Cactus is specifically optimized for mobile and wearable hardware constraints. ### Is litellm or cactus more popular on GitHub? litellm has more GitHub stars (53,271 vs 5,401). Stars measure visibility, not whether either tool fits your constraints. ### Are litellm and cactus open source? Yes - both are open-source projects on GitHub (litellm: Other, cactus: Other). ### Where can I find alternatives to litellm or cactus? GraphCanon lists graph-backed alternatives at [litellm alternatives](/tools/berriai-litellm/alternatives) and [cactus alternatives](/tools/cactus-compute-cactus/alternatives) ([litellm markdown twin](/tools/berriai-litellm/alternatives.md), [cactus markdown twin](/tools/cactus-compute-cactus/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/berriai-litellm-vs-cactus-compute-cactus.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, litellm or cactus? litellm: Very active. cactus: 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 cactus? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [litellm trust report](/tools/berriai-litellm/trust); [cactus trust report](/tools/cactus-compute-cactus/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/_