Awesome LLM Apps vs Browser Use
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, gpt 4 focus, and 133,530 GitHub stars in current listing data. Browser Use suits teams needing open-source access, docker focus, and 110,043 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
| Metric | Awesome LLM Apps | Browser Use |
|---|---|---|
| GitHub Stars | 133.5K | 110.0K |
| Contributors | 95 | 335 |
| Last Commit | Aug 22, 2026 | Aug 21, 2026 |
| Open Issues | 14 | 362 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | agents | agents |
| Trending | No | No |
Choose Awesome LLM Apps if you need
- • Awesome LLM Apps is the stronger pick when Gpt 4 matters because that capability is listed only on its profile.
- • Awesome LLM Apps shows broader GitHub adoption with 133,530 stars versus 110,043 for Browser Use.
- • Awesome LLM Apps is the cleaner fit if you specifically need Collection workflows from the catalog tags.
Choose Browser Use if you need
- • Browser Use stands out for Docker workflows that are not listed for Awesome LLM Apps.
- • Browser Use is the stronger pick when Openai matters because that capability is listed only on its profile.
- • Browser Use has a larger visible contributor base (335 vs 95).
Meaningful differences
- • Workflow emphasis: Awesome LLM Apps highlights Local, while Browser Use highlights Docker.
- • GitHub adoption: Awesome LLM Apps shows 133,530 stars versus 110,043 for Browser Use.
- • Contributor count: Awesome LLM Apps lists 95 contributors and Browser Use lists 335.
Shared capabilities
- • Python
- • Open Source
- • Claude
- • Gemini
Shared Tags
Only in Awesome LLM Apps
Only in Browser Use
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.
Source links
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.
View full listingAbout Browser Use
Browser Use is the most popular open-source library for web automation with AI agents. It makes any website accessible to LLMs by providing a simple Python interface for browser control — clicking, typing, navigating, extracting data, and filling forms. Supports vision-based and DOM-based interaction, multi-tab browsing, and works with any LLM provider.
View full listing