Streaming: MosaicML Data Streaming Library for PyTorch

MosaicML Streaming provides a data streaming library for efficient neural network training, developed by MosaicML and updated in February 2026. It focuses on high-performance data loading for PyTorch-based deep learning workflows.

Use Cases

• Streaming data directly into PyTorch training loops to improve efficiency
• Managing data flow for deep-learning models to reduce training bottlenecks
• Implementing neural-network training pipelines that require high-performance data streaming

Strengths

• Apache-2.0 licensed
• PyTorch framework integration
• Developed by MosaicML organization

Limitations

• Does not include a static dataset of records
• Requires integration into existing machine learning codebases

Provenance

Source

mosaicml

Freshness

Updated as of February 2026