transformers vs llm-app
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| transformers | llm-app | |
|---|---|---|
| Tagline | 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models | Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. |
| Stars | 162k | 59k |
| Forks | 34k | 1.4k |
| Open issues | 2.5k | 10 |
| Language | Python | Jupyter Notebook |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 7, 2026 | Jul 5, 2026 |
| Categories | Model Training, Data & Retrieval, LLM Frameworks | Data & Retrieval, 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
llm-app
Pathway Live Data Framework AI Pipelines provides LLM App Templates for deploying high-accuracy retrieval-augmented generation (RAG) and enterprise search applications. The templates sync with various data sources including file systems, Google Drive, Sharepoint, S3, Kafka, PostgreSQL, real-time APIs.
Jupyter Notebook