# Open WebUI vs RSS Filter Open WebUI records 804,534 monthly visits with -2.8% month-over-month growth and Freemium pricing. RSS Filter records 0 monthly visits with 0% growth and Free pricing. | Metric | [Open WebUI](https://openaitools.app/tool/open-webui) | [RSS Filter](https://openaitools.app/tool/rss-filter) | | :--- | :--- | :--- | | Website URL | https://openwebui.com | https://rssfilter.sgn.space | | Categories | Large Language Models (LLMs), AI Chatbot, Open Source AI Models, AI Developer Tools | Large Language Models (LLMs), AI Productivity Tools, AI Assistant | | Pricing Model | Freemium | Free | | Monthly Visits | 804,534 | 0 | | MoM Growth Rate | -2.8% | 0% | | Primary Market | United States | Global | | Direct Visits | 299,835 | 0 | | Review Score | 4.4 | 4.5 | | Saved Count | 0 | 0 | | Supported Platforms | Website | Website | ## Open WebUI Open WebUI is an open-source, self-hosted interface for working with AI models. Instead of renting access to a single vendor's chatbot, you run the interface on your own hardware or cloud tenancy, then connect whatever models you want: local runtimes such as Ollama, OpenAI-compatible endpoints, Anthropic, or a mix of local and remote. Everything a team produces — conversations, prompts, models, skills and tools — stays in an environment you administer. The platform has grown well beyond a chat window. Retrieval-augmented generation, web search, document understanding, voice input and output, and vision are built in, and Python tools, functions and pipelines let developers script custom behaviour and share it. On the operations side it offers enterprise features such as SSO, role-based access control, audit logs, data residency options, and on-premises, hybrid or fully air-gapped deployment for regulated environments. White-labeling and custom branding are also available for organizations that want their own look. Open WebUI is distributed free of charge under an open-source license and can be installed with a single pip or Docker command, with no account required to get running. A separate enterprise offering is available for organizations that want commercial support, compliance guarantees and managed rollout help, which is quoted on contact. A large community maintains a public hub of prompts, models, tools and functions, so much of what teams need is already shared and ready to install. **Pricing & Plans:** The core platform is free and open source, installable via pip or Docker with no account required. An enterprise tier with support, compliance and deployment assistance is quoted on contact. - **Any Model, Any Endpoint:** Connect local runtimes like Ollama alongside OpenAI-compatible and Anthropic APIs, and switch between them inside one interface. - **Retrieval and Search Built In:** RAG over your own documents, web search and citation-aware answers come standard, so responses are grounded in real sources. - **Python Tools, Functions and Pipelines:** Extend the platform with Python code to add custom tooling, preprocessing, and multi-step pipelines, then share them with others. - **Enterprise Controls:** SSO, RBAC, audit logs, data residency, and on-premises, hybrid or air-gapped deployment for organisations with strict requirements. - **Community Hub:** Browse and install prompts, models, skills and tools contributed by hundreds of thousands of community members. **Strengths:** Free and open source with no account needed to install; Works with local and cloud models through a single interface; Strong privacy posture: your data and models stay on your infrastructure; Extensive enterprise features including SSO, RBAC and audit logs **Limitations:** Self-hosting requires you to handle servers, updates and backups; Some enterprise capabilities and support sit behind a paid, quote-based tier; Feature depth means a learning curve for non-technical administrators; Local model performance depends heavily on your own hardware [Profile (Markdown)](https://openaitools.app/tool/open-webui.md) ## RSS Filter RSS Filter targets a familiar problem: the feeds pile up faster than anyone can read. Rather than another reader, it is a filtering layer that sits between your feeds and your client. The idea is simple - instead of seeing every item, you see a curated subset that matches what you have already shown interest in. The recommendation engine is built on LLM embeddings and machine learning. As you read articles, the system tracks them and learns which topics matter to you, then ranks and filters new items by semantic similarity. Because it works by replacing the original feed URLs, you do not need to switch readers or change your existing habits; you simply point your client at the filtered sources. Getting started takes an OPML upload. Export your subscriptions from whatever reader you use, drop the file onto the site, and it returns a set of filtered feed URLs. The project is open source - the code lives on GitHub under m0wer/rssfilter - and it is free to use, with a public email contact for feedback. It is the kind of lightweight utility that is best judged by whether it quietly makes your feed manageable again. **Pricing & Plans:** Free to use. RSS Filter is a free tool and open-source project; there are no paid tiers advertised on the site. - **One-Click OPML Conversion:** Upload an OPML export from your RSS client and get all your existing feeds converted into filtered versions automatically. - **Learning From Your Reads:** Every read article feeds a machine-learning model, so recommendations adapt to your real interests over time. - **LLM Embedding Recommendations:** LLM embeddings compare semantic similarity between articles rather than relying only on keywords or categories. - **Works With Any RSS Client:** It works by swapping your original feed URLs, so you keep using your preferred RSS reader with no new app to learn. - **Open Source and Free:** The project is open source on GitHub and can be reported or contacted through a public email address. **Strengths:** Completely free and open source; Works by swapping feed URLs, so no new reader is needed; Learns from your actual reading behaviour rather than static rules; OPML upload makes converting an existing feed list quick [Profile (Markdown)](https://openaitools.app/tool/rss-filter.md) ## Frequently Asked Questions ### How do Open WebUI and RSS Filter compare in monthly traffic? Open WebUI has 804,534 monthly visits, while RSS Filter has 0. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Open WebUI has a month-over-month growth rate of -2.8%; RSS Filter has 0%. ### How does pricing compare? Open WebUI: Freemium. The core platform is free and open source, installable via pip or Docker with no account required. An enterprise tier with support, compliance and deployment assistance is quoted on contact. RSS Filter: Free. Free to use. RSS Filter is a free tool and open-source project; there are no paid tiers advertised on the site. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) | | 2 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) | | 3 | [The StoryGraph](https://openaitools.app/tool/thestorygraph-com) | 5,691,605 | +4.5% | Freemium | Mood-based book recommendations and reading tracking | [.md](https://openaitools.app/tool/thestorygraph-com.md) | | 4 | [Kagi Search](https://openaitools.app/tool/kagi-search) | 4,647,605 | +3.2% | Free Trial, Paid | A paid, ad-free search engine that answers to its users | [.md](https://openaitools.app/tool/kagi-search.md) | | 5 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) | | 6 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) | | 7 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant that runs on your own machine and works from chat apps | [.md](https://openaitools.app/tool/clawdbot.md) | | 8 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Specializes in visual workflow building and RAG pipelines rather than serving purely as a chat interface. | [.md](https://openaitools.app/tool/dify-ai.md) | | 9 | [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | -25% | Freemium | Focuses on collaborative team AI workspaces and plugins, but shares similar open-source architectural goals. | [.md](https://openaitools.app/tool/lobehub.md) | | 10 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Own your intelligence: a private AI assistant that runs entirely on your machine | [.md](https://openaitools.app/tool/anythingllm.md) | --- Source: https://openaitools.app/compare/open-webui-vs-rss-filter More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)