paddler vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| paddler | awesome-llm-apps | |
|---|---|---|
| Tagline | LLM/VLM load balancer and serving platform built around the ggml ecosystem | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 1.6k | 117k |
| Forks | 89 | 17k |
| Open issues | 25 | 6 |
| Language | Rust | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Jun 15, 2026 |
| Categories | Inference & Serving, Model Training | AI Agents, LLM Frameworks |
paddler
Paddler is an open-source tool for running, deploying, and scaling Large Language Models (LLMs) on your own infrastructure with features like load balancing, dynamic model swapping, and a web admin panel.
Rust
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