--- title: "tvm vs litellm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-tvm-vs-berriai-litellm" tools: ["apache-tvm", "berriai-litellm"] --- # tvm vs litellm *GraphCanon updated Jul 11, 2026* ## Verdict Pick tvm when license: tvm is Apache-2.0, litellm is Other; pick litellm when license: litellm is Other, tvm is Apache-2.0. [tvm](https://tvm.apache.org/) reports 14k GitHub stars, 3.9k forks, and 202 open issues, last pushed Jul 11, 2026. [litellm](https://docs.litellm.ai/docs/) has 53k stars, 9.7k forks, and 3.9k open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [tvm's repository](https://github.com/apache/tvm) and [litellm's repository](https://github.com/BerriAI/litellm). | | [tvm](/tools/apache-tvm.md) | [litellm](/tools/berriai-litellm.md) | | --- | --- | --- | | Tagline | Open Machine Learning Compiler Framework | Python SDK and Proxy Server for calling multiple LLM APIs | | Stars | 13,570 | 53,271 | | Forks | 3,917 | 9,671 | | Open issues | 202 | 3,915 | | Language | Python | Python | | 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. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | 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. | | Categories | Computer Vision, Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [tvm](/tools/apache-tvm.md) | [litellm](/tools/berriai-litellm.md) | | --- | --- | --- | | Open issues (now) | 202 | 3.9k | | Security scan | No lockfile | 2 low (2 low) | | Full report | [trust report](/tools/apache-tvm/trust.md) | [trust report](/tools/berriai-litellm/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. ## Choose when ### Choose tvm if… - License: tvm is Apache-2.0, litellm is Other. - Tags unique to tvm: compiler, deep-learning, gpu, javascript. - Also covers Computer Vision. ### Choose litellm if… - License: litellm is Other, tvm is Apache-2.0. - Pricing: While the core functionality is provided free, specific extended features might require a paid plan.. - Requirements: Requires Docker. - Tags unique to litellm: ai-gateway, azure-openai, bedrock, llm. - 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 NOT to use tvm - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use litellm - If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill. ## Common questions ### What is the difference between tvm and litellm? tvm: Open Machine Learning Compiler Framework. litellm: Python SDK and Proxy Server for calling multiple LLM APIs. See the comparison table for live GitHub stats and shared categories. ### When should I choose tvm over litellm? Choose tvm over litellm when License: tvm is Apache-2.0, litellm is Other; Tags unique to tvm: compiler, deep-learning, gpu, javascript; Also covers Computer Vision. ### When should I choose litellm over tvm? Choose litellm over tvm when License: litellm is Other, tvm is Apache-2.0; Pricing: While the core functionality is provided free, specific extended features might require a paid plan.; Requirements: Requires Docker; Tags unique to litellm: ai-gateway, azure-openai, bedrock, llm; 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 avoid tvm? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid litellm? If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill. ### Is tvm or litellm more popular on GitHub? litellm has more GitHub stars (53,271 vs 13,570). Stars measure visibility, not whether either tool fits your constraints. ### Are tvm and litellm open source? Yes - both are open-source projects on GitHub (tvm: Apache-2.0, litellm: Other). ### Where can I find alternatives to tvm or litellm? GraphCanon lists graph-backed alternatives at [tvm alternatives](/tools/apache-tvm/alternatives) and [litellm alternatives](/tools/berriai-litellm/alternatives) ([tvm markdown twin](/tools/apache-tvm/alternatives.md), [litellm markdown twin](/tools/berriai-litellm/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/apache-tvm-vs-berriai-litellm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, tvm or litellm? tvm: Very active. litellm: 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 tvm and litellm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [tvm trust report](/tools/apache-tvm/trust); [litellm trust report](/tools/berriai-litellm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-tvm`](/api/graphcanon/graph?tool=apache-tvm) - 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/_