{"library":"tensorstore","type":"library","category":null,"description":"TensorStore is an open-source C++ and Python library (version 0.1.82) designed for efficiently reading and writing large, multi-dimensional arrays. It provides a uniform API for various array formats (like Zarr, N5, Neuroglancer precomputed) and storage systems (local filesystems, Google Cloud Storage, Amazon S3-compatible object stores, HTTP servers, and in-memory storage). It features an asynchronous API, read/writeback caching, transactions with strong ACID guarantees, and optimistic concurrency for safe multi-process/machine access. The project maintains an active release cadence with frequent updates.","language":"python","status":"active","version":"0.1.82","tags":["array","scientific-computing","data-storage","multi-dimensional","asynchronous","HPC"],"last_verified":"Wed May 20","install":[{"cmd":"pip install tensorstore","imports":["import tensorstore as ts"]},{"cmd":"conda install tensorstore -c conda-forge","imports":[]}],"homepage":"https://google.github.io/tensorstore/","github":"https://github.com/google/tensorstore","docs":"https://google.github.io/tensorstore","changelog":null,"pypi":"https://pypi.org/project/tensorstore/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":4.7,"avg_import_s":1.29,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/tensorstore/compatibility"}}