data-juicer vs LLMs-from-scratch
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| data-juicer | LLMs-from-scratch | |
|---|---|---|
| Tagline | Data processing for and with foundation models | Implement a ChatGPT-like LLM in PyTorch from scratch |
| Stars | 6.7k | 99k |
| Forks | 392 | 15k |
| Open issues | 66 | 4 |
| Language | Python | Jupyter Notebook |
| License | Apache-2.0 | Other |
| Last pushed | Jul 7, 2026 | Jun 2, 2026 |
| Categories | Developer Tools | Model Training, LLM Frameworks |
data-juicer
Data-Juicer is designed to process raw data into AI-ready intelligence, offering modular building blocks for data cleaning, synthesis, and analysis.
Python
LLMs-from-scratch
Repository containing code and instructions for developing, pretraining, and finetuning a GPT-like large language model (LLM) using PyTorch.
Jupyter Notebook