DeepYard

Awesome LLM Apps vs Open WebUI

Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.

Direct Answer

Awesome LLM Apps suits teams needing open-source access, cloud focus, and 133,530 GitHub stars in current listing data. Open WebUI suits teams needing open-source access, self hosted focus, and 149,532 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.

What this comparison weighs

  • Pricing and free-tier availability
  • License model and deployment fit
  • GitHub adoption and contributor depth
  • Catalog tags, integrations, and supported workflows
A

Awesome LLM Apps

100K-star collection of LLM apps with agents, RAG, and multi-agent teams

OSSFree
133.5Ktoday95
O

Open WebUI

Self-hosted AI chat interface with 125K+ stars — supports Ollama, OpenAI, and MCP

OSSFree
149.5Ktoday391
MetricAwesome LLM AppsOpen WebUI
GitHub Stars133.5K149.5K
Contributors95391
Last CommitAug 22, 2026Aug 21, 2026
Open Issues14331
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryagentsagents
TrendingNoNo

Choose Awesome LLM Apps if you need

  • Awesome LLM Apps stands out for Cloud workflows that are not listed for Open WebUI.
  • Awesome LLM Apps is the stronger pick when Gpt 4 matters because that capability is listed only on its profile.
  • Awesome LLM Apps is the cleaner fit if you specifically need Collection workflows from the catalog tags.

Choose Open WebUI if you need

  • Open WebUI stands out for Self Hosted workflows that are not listed for Awesome LLM Apps.
  • Open WebUI is the stronger pick when Ollama matters because that capability is listed only on its profile.
  • Open WebUI shows broader GitHub adoption with 149,532 stars versus 133,530 for Awesome LLM Apps.

Meaningful differences

  • Workflow emphasis: Awesome LLM Apps highlights Cloud, while Open WebUI highlights Self Hosted.
  • GitHub adoption: Awesome LLM Apps shows 133,530 stars versus 149,532 for Open WebUI.
  • Contributor count: Awesome LLM Apps lists 95 contributors and Open WebUI lists 391.

Shared capabilities

  • Rag
  • Python
  • Open Source
  • Claude
  • Gemini

Shared Tags

ragpythonopen-source

Only in Awesome LLM Apps

collectionagentsmulti-agenttutorials

Only in Open WebUI

self-hostedchat-uiollamamcpmulti-model

Limitations and evidence

  • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
  • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
  • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.

About Awesome LLM Apps

Awesome LLM Apps is the largest curated collection of production-ready LLM applications, spanning AI agents, RAG pipelines, multi-agent teams, voice AI, and MCP integrations. With 100K+ GitHub stars and 80+ working examples using OpenAI, Anthropic, Gemini, and open-source models, it serves as both a learning resource and a template library for building real-world AI applications in Python.

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About Open WebUI

Open WebUI is the most popular self-hosted AI interface, providing a ChatGPT-like experience that connects to local models via Ollama, cloud providers via OpenAI-compatible APIs, and tools via MCP. It supports RAG with document upload, web browsing, image generation, voice input/output, multi-user authentication, and a built-in model management dashboard. With 125K+ stars, it is the de facto standard for running your own AI chat platform.

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