--- title: "tvm vs open-webui" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-tvm-vs-open-webui-open-webui" tools: ["apache-tvm", "open-webui-open-webui"] --- # tvm vs open-webui *GraphCanon updated Jul 11, 2026* ## Verdict Pick tvm when license: tvm is Apache-2.0, open-webui is Other; pick open-webui when license: open-webui 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. [open-webui](https://openwebui.com) has 145k stars, 21k forks, and 391 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [tvm's repository](https://github.com/apache/tvm) and [open-webui's repository](https://github.com/open-webui/open-webui). | | [tvm](/tools/apache-tvm.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Tagline | Open Machine Learning Compiler Framework | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) | | Stars | 13,570 | 145,029 | | Forks | 3,917 | 21,005 | | Open issues | 202 | 391 | | Language | Python | Python | | Adopt for | - | Suitable for developers working with large language models who require a user-friendly interface and support for multiple APIs including Ollama and OpenAI. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | 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) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Open issues (now) | 202 | 391 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/apache-tvm/trust.md) | [trust report](/tools/open-webui-open-webui/trust.md) | ## Decision facts: open-webui - **Adopt for:** Suitable for developers working with large language models who require a user-friendly interface and support for multiple APIs including Ollama and OpenAI. ## Choose when ### Choose tvm if… - License: tvm is Apache-2.0, open-webui is Other. - Tags unique to tvm: compiler, deep-learning, gpu, javascript. - Also covers Computer Vision. ### Choose open-webui if… - License: open-webui is Other, tvm is Apache-2.0. - Tags unique to open-webui: ai, llm, openai, self-hosted. - When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface. ## 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 open-webui - When looking for tooling that exclusively supports APIs other than Ollama and OpenAI, as these are specific areas of focus for open-webui. - If the requirement is a highly specialized interface tailored to specific tasks rather than a general AI interaction platform. ## Common questions ### What is the difference between tvm and open-webui? tvm: Open Machine Learning Compiler Framework. open-webui: User-friendly AI Interface (Supports Ollama, OpenAI API, ...). See the comparison table for live GitHub stats and shared categories. ### When should I choose tvm over open-webui? Choose tvm over open-webui when License: tvm is Apache-2.0, open-webui is Other; Tags unique to tvm: compiler, deep-learning, gpu, javascript; Also covers Computer Vision. ### When should I choose open-webui over tvm? Choose open-webui over tvm when License: open-webui is Other, tvm is Apache-2.0; Tags unique to open-webui: ai, llm, openai, self-hosted; When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface. ### 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 open-webui? When looking for tooling that exclusively supports APIs other than Ollama and OpenAI, as these are specific areas of focus for open-webui. If the requirement is a highly specialized interface tailored to specific tasks rather than a general AI interaction platform. ### Is tvm or open-webui more popular on GitHub? open-webui has more GitHub stars (145,029 vs 13,570). Stars measure visibility, not whether either tool fits your constraints. ### Are tvm and open-webui open source? Yes - both are open-source projects on GitHub (tvm: Apache-2.0, open-webui: Other). ### Where can I find alternatives to tvm or open-webui? GraphCanon lists graph-backed alternatives at [tvm alternatives](/tools/apache-tvm/alternatives) and [open-webui alternatives](/tools/open-webui-open-webui/alternatives) ([tvm markdown twin](/tools/apache-tvm/alternatives.md), [open-webui markdown twin](/tools/open-webui-open-webui/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-open-webui-open-webui.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, tvm or open-webui? tvm: Very active. open-webui: 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 open-webui? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [tvm trust report](/tools/apache-tvm/trust); [open-webui trust report](/tools/open-webui-open-webui/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/_