transformers vs paddler
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| transformers | paddler | |
|---|---|---|
| Tagline | 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models | LLM load balancer and serving platform for self-hosting LLMs/VLMs |
| Stars | 162k | 1.6k |
| Forks | 34k | 89 |
| Open issues | 2.5k | 25 |
| Language | Python | Rust |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | Data & Retrieval, Model Training, LLM Frameworks | Inference & Serving, LLM Frameworks |
transformers
Repo hosts a Python library and framework for NLP, text, audio, vision, multimodal AI model creation, training and inference using PyTorch.
Python
paddler
Paddler is a Rust-based, open-source LLM/VLM load balancer and serving platform designed to facilitate the deployment and scaling of large language models on private infrastructure. It features built-in llama.cpp inference engine, simple dynamic model swapping, request buffering, and an integrated web admin panel for management tasks.
Rust