cupynumeric-hdf5
by community
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Description
Read and write large cuPyNumeric arrays to HDF5 with Legate's parallel, distributed HDF5 I/O (legate.io.hdf5: to_file, from_file, from_file_batched). Use when a developer needs to save a cuPyNumeric array to an .h5/.hdf5 file, load an HDF5 dataset into a distributed cuPyNumeric array, read a large HDF5 dataset in chunks, hand arrays to an HPC pipeline as a single file, or accelerate HDF5 disk I/O with GPUDirect Storage (GDS). Do not use it for Parquet/cuDF/raw-binary or other sharded/custom layouts (see the cupynumeric-parallel-data-load skill), Zarr or object-store/S3 output, .npz or pickled archives, plain h5py without cuPyNumeric, or pure array compute such as FFT, matmul, or reductions.
Install cupynumeric-hdf5
Run this in your OpenClaw agent to add cupynumeric-hdf5 from the ClawHub registry.
openclaw skills install cupynumeric-hdf5Requires ClawHub registry access. Review the security analysis below before installing.
Security Analysis
Open Source
Code is publicly available for audit.
Community Verified
Reviewed by the ClawHub community.
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Frequently asked questions
Is cupynumeric-hdf5 safe to install?
cupynumeric-hdf5 has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.
How much does cupynumeric-hdf5 cost?
cupynumeric-hdf5 is free to install for OpenClaw via ClawHub.
What are the best alternatives to cupynumeric-hdf5?
You can compare cupynumeric-hdf5 side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.
How do I install cupynumeric-hdf5?
Install cupynumeric-hdf5 from ClawHub at clawhub.ai/skills/cupynumeric-hdf5, or use the install action on this page to copy the command for your OpenClaw agent.
Community Signal
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