Photoroom/datago

A natively parallel dataloader for Python, written in Rust. Serving data at GB/s speeds, while covering aspect ratio bucketing, crop and resize for image ML workloads.

45
/ 100
Emerging

When you're training machine learning models with large collections of images, this tool helps you efficiently load and prepare that data. It takes raw image files, or images from web archives or databases, and quickly outputs processed images ready for your model. This is designed for machine learning engineers and researchers working with image datasets that are too large or too slow to handle with standard methods.

127 stars.

Use this if you need to feed massive image datasets into your machine learning models at extremely high speeds, especially across multiple processing units, and require on-the-fly image adjustments like cropping and resizing.

Not ideal if your primary task is general-purpose data analysis, working with small datasets, or if your data consists mainly of text, tabular, or other non-image formats.

machine-learning-engineering computer-vision image-processing deep-learning-training large-scale-data
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 9 / 25

How are scores calculated?

Stars

127

Forks

7

Language

Rust

License

MIT

Last pushed

Feb 26, 2026

Commits (30d)

0

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