--- title: "botpress vs open-webui" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/botpress-botpress-vs-open-webui-open-webui" tools: ["botpress-botpress", "open-webui-open-webui"] --- # botpress vs open-webui Neutral, constraint-first comparison with live GitHub stats. | | [botpress](/tools/botpress-botpress.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Tagline | The open-source hub to build & deploy GPT/LLM Agents | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) | | Stars | 14,772 | 144,677 | | Forks | 2,274 | 20,922 | | Open issues | 21 | 347 | | Language | TypeScript | Python | | Adopt for | Botpress is an open-source platform for developing GPT and LLM-powered chatbots and conversational assistants, featuring robust integrations, developer tools, bot examples, and plugins. | Open WebUI is an extensible AI platform that supports various language model runners and APIs, providing a robust suite of features including broad integrations, role-based access control, plugin support, and extensive R | | Persona | - | - | | Runtime | - | - | | License | MIT | Other (specific licensing details are not specified; refer to the official repository for complete terms.) | | Categories | AI Agents, Developer Tools | Evaluation & Observability, Inference & Serving, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [botpress](/tools/botpress-botpress.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Days since push | 0d | 5d | | Open issues (now) | 21 | 347 | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/botpress-botpress/trust.md) | [trust report](/tools/open-webui-open-webui/trust.md) | **Typed relationship:** botpress _(alternative)_ open-webui both platforms allow for building and deploying GPT/LLM Agents, though Botpress focuses more on broader agent capabilities including non-UI elements while Open WebUI is specifically a user-friendly AI deployment solution. ## Decision facts: botpress - **Adopt for:** Botpress is an open-source platform for developing GPT and LLM-powered chatbots and conversational assistants, featuring robust integrations, developer tools, bot examples, and plugins. ## Decision facts: open-webui - **Hosting:** self hosted - Open WebUI offers self-hosted deployments which support offline operation and customization. - **Pricing:** freemium - The platform is available under an unlisted license but mentions Enterprise plans with additional features such as custom theming, branding, SLA support, LTS versions, amongst others. - **Requirements:** Requires Docker - **Adopt for:** Open WebUI is an extensible AI platform that supports various language model runners and APIs, providing a robust suite of features including broad integrations, role-based access control, plugin support, and extensive R - **License detail:** Other (specific licensing details are not specified; refer to the official repository for complete terms.) ## Choose when ### Choose botpress if… - botpress is primarily TypeScript; open-webui is Python. - License: botpress is MIT, open-webui is Other. - both platforms allow for building and deploying GPT/LLM Agents, though Botpress focuses more on broader agent capabilities including non-UI elements while Open WebUI is specifically a user-friendly AI deployment solution. - Tags unique to botpress: botpress, nlp, chatgpt, gpt. - Also covers AI Agents. - When you need a flexible platform to quickly develop advanced AI agents using OpenAI's models. ### Choose open-webui if… - open-webui is primarily Python; botpress is TypeScript. - License: open-webui is Other, botpress is MIT. - Open WebUI offers self-hosted deployments which support offline operation and customization. - Pricing: The platform is available under an unlisted license but mentions Enterprise plans with additional features such as custom theming, branding, SLA support, LTS versions, amongst others.. - Requirements: Requires Docker. - both platforms allow for building and deploying GPT/LLM Agents, though Botpress focuses more on broader agent capabilities including non-UI elements while Open WebUI is specifically a user-friendly AI deployment solution. - Tags unique to open-webui: webui, self-hosted, rag, openapi. - Also covers Evaluation & Observability, Inference & Serving. - open-webui ships Docker support for self-hosted deployment. - You need to deploy an AI interface that can operate entirely offline. ## When NOT to use botpress - Avoid choosing Botpress when your use case does not need or cannot justify the investment in OpenAI-based models like GPT-4. - If your chatbot requirements fit better within simpler rule-based systems, consider more basic chatbot development frameworks instead. - Do not opt for this solution if you prefer proprietary developer tools over open-source alternatives. ## When NOT to use open-webui - Your project strictly requires cloud-based solutions without the option of offline operation. - If your team does not require or can't manage the level of customization available through plugins and extensibility options. - You prefer a solution with less granularity in role-based access control, as Open WebUI offers highly detailed permissions. - You do not need support for local models like Ollama or specific integrations such as LMStudio or GroqCloud. ## Common questions ### What is the difference between botpress and open-webui? botpress: The open-source hub to build & deploy GPT/LLM Agents. 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 botpress over open-webui? Choose botpress over open-webui when botpress is primarily TypeScript; open-webui is Python; License: botpress is MIT, open-webui is Other; both platforms allow for building and deploying GPT/LLM Agents, though Botpress focuses more on broader agent capabilities including non-UI elements while Open WebUI is specifically a user-friendly AI deployment solution; Tags unique to botpress: botpress, nlp, chatgpt, gpt; Also covers AI Agents; When you need a flexible platform to quickly develop advanced AI agents using OpenAI's models. ### When should I choose open-webui over botpress? Choose open-webui over botpress when open-webui is primarily Python; botpress is TypeScript; License: open-webui is Other, botpress is MIT; Open WebUI offers self-hosted deployments which support offline operation and customization; Pricing: The platform is available under an unlisted license but mentions Enterprise plans with additional features such as custom theming, branding, SLA support, LTS versions, amongst others.; Requirements: Requires Docker; both platforms allow for building and deploying GPT/LLM Agents, though Botpress focuses more on broader agent capabilities including non-UI elements while Open WebUI is specifically a user-friendly AI deployment solution; Tags unique to open-webui: webui, self-hosted, rag, openapi; Also covers Evaluation & Observability, Inference & Serving; open-webui ships Docker support for self-hosted deployment; You need to deploy an AI interface that can operate entirely offline. ### When should I avoid botpress? Avoid choosing Botpress when your use case does not need or cannot justify the investment in OpenAI-based models like GPT-4. If your chatbot requirements fit better within simpler rule-based systems, consider more basic chatbot development frameworks instead. Do not opt for this solution if you prefer proprietary developer tools over open-source alternatives. ### When should I avoid open-webui? Your project strictly requires cloud-based solutions without the option of offline operation. If your team does not require or can't manage the level of customization available through plugins and extensibility options. You prefer a solution with less granularity in role-based access control, as Open WebUI offers highly detailed permissions. You do not need support for local models like Ollama or specific integrations such as LMStudio or GroqCloud. ### Is botpress or open-webui more popular on GitHub? open-webui has more GitHub stars (144,677 vs 14,772). Stars measure visibility, not whether either tool fits your constraints. ### Are botpress and open-webui open source? Yes - both are open-source projects on GitHub (botpress: MIT, open-webui: Other). ### Where can I find alternatives to botpress or open-webui? GraphCanon lists graph-backed alternatives at /tools/botpress-botpress/alternatives and /tools/open-webui-open-webui/alternatives (/tools/botpress-botpress/alternatives.md, /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 /compare/botpress-botpress-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, botpress or open-webui? botpress: 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 botpress and open-webui? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: botpress: /tools/botpress-botpress/trust; open-webui: /tools/open-webui-open-webui/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=botpress-botpress`](/api/graphcanon/graph?tool=botpress-botpress) - 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/_