--- title: "yalm vs open-webui" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/andrewkchan-yalm-vs-open-webui-open-webui" tools: ["andrewkchan-yalm", "open-webui-open-webui"] --- # yalm vs open-webui *GraphCanon updated Jul 11, 2026* ## Verdict Pick yalm when yalm is primarily C++; open-webui is Python; pick open-webui when open-webui is primarily Python; yalm is C++. [yalm](https://github.com/andrewkchan/yalm) reports 591 GitHub stars, 64 forks, and 4 open issues, last pushed Sep 13, 2025. [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 [yalm's repository](https://github.com/andrewkchan/yalm) and [open-webui's repository](https://github.com/open-webui/open-webui). | | [yalm](/tools/andrewkchan-yalm.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Tagline | Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) | | Stars | 591 | 145,029 | | Forks | 64 | 21,005 | | Open issues | 4 | 391 | | Language | C++ | 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 | - | Other | | Categories | LLM Frameworks, Inference & Serving | LLM Frameworks, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [yalm](/tools/andrewkchan-yalm.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 301d | 0d | | Open issues (now) | 4 | 391 | | Owner type | User | Organization | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/andrewkchan-yalm/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 yalm if… - yalm is primarily C++; open-webui is Python. - Tags unique to yalm: llama, machine-learning, cpp, cuda. - Leaner open-issue backlog (4). ### Choose open-webui if… - open-webui is primarily Python; yalm is C++. - Tags unique to open-webui: self-hosted, ai, openai. - When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface. ## When NOT to use yalm - Last GitHub push was 301 days ago (slowing maintenance, Sep 13, 2025). Validate activity before betting a new project on yalm. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## 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 yalm and open-webui? yalm: Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O. 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 yalm over open-webui? Choose yalm over open-webui when yalm is primarily C++; open-webui is Python; Tags unique to yalm: llama, machine-learning, cpp, cuda; Leaner open-issue backlog (4). ### When should I choose open-webui over yalm? Choose open-webui over yalm when open-webui is primarily Python; yalm is C++; Tags unique to open-webui: self-hosted, ai, openai; When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface. ### When should I avoid yalm? Last GitHub push was 301 days ago (slowing maintenance, Sep 13, 2025). Validate activity before betting a new project on yalm. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### 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 yalm or open-webui more popular on GitHub? open-webui has more GitHub stars (145,029 vs 591). Stars measure visibility, not whether either tool fits your constraints. ### Are yalm and open-webui open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to yalm or open-webui? GraphCanon lists graph-backed alternatives at [yalm alternatives](/tools/andrewkchan-yalm/alternatives) and [open-webui alternatives](/tools/open-webui-open-webui/alternatives) ([yalm markdown twin](/tools/andrewkchan-yalm/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/andrewkchan-yalm-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, yalm or open-webui? yalm: Slowing. 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 yalm and open-webui? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [yalm trust report](/tools/andrewkchan-yalm/trust); [open-webui trust report](/tools/open-webui-open-webui/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=andrewkchan-yalm`](/api/graphcanon/graph?tool=andrewkchan-yalm) - 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/_