{"library":"mosaicml-streaming","type":"library","category":null,"description":"MosaicML Streaming (StreamingDataset) provides PyTorch-compatible datasets that can be efficiently streamed from cloud-based object stores (S3, GCS, Azure Blob Storage, Hugging Face Hub) or local filesystems. It enables training on large datasets without needing to download them entirely beforehand, improving data loading performance and reducing storage costs. The library is actively maintained with frequent updates, currently at version 0.13.0.","language":"python","status":"active","version":"0.13.0","tags":["pytorch","data-streaming","cloud","dataset","object-storage","mlops"],"install":[{"cmd":"pip install mosaicml-streaming","imports":["from streaming import StreamingDataset","from streaming import MDSWriter"]}],"homepage":"https://streaming.docs.mosaicml.com","github":"https://github.com/mosaicml/streaming","docs":null,"changelog":null,"pypi":"https://pypi.org/project/mosaicml-streaming/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":10,"avg_install_s":91.9,"avg_import_s":17.26,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/mosaicml-streaming/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}