Promptify vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| Promptify | awesome-llm-apps | |
|---|---|---|
| Tagline | Task-based NLP engine for structured outputs from LLMs | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 4.6k | 117k |
| Forks | 362 | 17k |
| Open issues | 60 | 6 |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Mar 27, 2026 | Jun 15, 2026 |
| Categories | Developer Tools, Model Training | AI Agents, LLM Frameworks |
Promptify
Promptify is a Python library designed to facilitate task-oriented natural language processing using large language models (LLMs). It provides features like prompt engineering, versioning and built-in evaluation. The tool supports multiple prompts and different models including GPT.
Python
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