awesome-llm-apps vs GLiNER
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| awesome-llm-apps | GLiNER | |
|---|---|---|
| Tagline | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. | Generalist and Lightweight Model for Named Entity Recognition |
| Stars | 117k | 3.4k |
| Forks | 17k | 288 |
| Open issues | 6 | 96 |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jun 15, 2026 | Jul 6, 2026 |
| Categories | AI Agents, LLM Frameworks | Model Training, Developer Tools |
awesome-llm-apps
A repository containing a collection of AI agent and Retrieval-Augmented Generation (RAG) applications that are ready to be cloned, customized, and deployed. The projects cover various aspects such as AI agents, always-on agents, multi-agent teams, RAG techniques, voice agents, fine-tuning for specific use cases, and more.
Python
GLiNER
A Python-based NER model capable of extracting various entity types from texts, designed to work effectively in information extraction tasks.
Python