h5pyd | h5py distributed - Python client library for HDF Rest API

by HDFGroup Python Version: 0.18.0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | h5pyd Summary

h5pyd is a Python library. h5pyd has no vulnerabilities, it has build file available and it has low support. However h5pyd has 15 bugs and it has a Non-SPDX License. You can install using 'pip install h5pyd' or download it from GitHub, PyPI.

h5py distributed - Python client library for HDF Rest API

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Quality

Security

License

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Support

h5pyd has a low active ecosystem.

It has 97 star(s) with 38 fork(s). There are 8 watchers for this library.

There were 2 major release(s) in the last 12 months.

There are 22 open issues and 71 have been closed. On average issues are closed in 348 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of h5pyd is 0.18.0

Quality

h5pyd has 15 bugs (3 blocker, 0 critical, 12 major, 0 minor) and 407 code smells.

Security

h5pyd has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

h5pyd code analysis shows 0 unresolved vulnerabilities.

There are 45 security hotspots that need review.

License

h5pyd has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

h5pyd releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

h5pyd saves you 5936 person hours of effort in developing the same functionality from scratch.

It has 13113 lines of code, 720 functions and 72 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed h5pyd and discovered the below as its top functions. This is intended to give you an instant insight into h5pyd implemented functionality, and help decide if they suit your requirements.

Load a file
Check if an object is an HDF5py object
Convert dtype to dtype
Copy attribute from srcobj to srcobj
Dump an object
Print a list of items
Get shape text for dataset
Convert an integer to a string
Send a PUT request
Delete a domain
Make a POST request
Returns a session object
Return the name of the object
Attempt to acquire a token
Print usage information
Perform a DELETE request
Get the name and lcpl
Ping the server
Dump the items in the grp
Broadcast the array to the given shape
Append rows to the table
Guess the shape of the dataset
Get information about a domain
Display information about a domain
Create a new top - level domain
Return the object with the given name
Get server info

Get all kandi verified functions for this library.

h5pyd Key Features

No Key Features are available at this moment for h5pyd.

h5pyd Examples and Code Snippets

No Code Snippets are available at this moment for h5pyd.

Community Discussions

Trending Discussions on h5pyd

Configure package on python

QUESTION

Configure package on python

Asked 2021-Oct-07 at 08:17

I'm curious if anyone here has been able to successfully access NREL's wind datasets using the h5py library as explained here: https://github.com/NREL/hsds-examples ?

I am having trouble with configuring HSDS. I am using Python 3.7.10 and Anaconda. These are the steps that are listed:

For this to work you must first install h5pyd:

...

ANSWER

Answered 2021-Aug-03 at 05:05

I was able to get it running with the following setup:

(optional) MambaForge base. Mamba is faster than Conda, and working in base is practically an anti-pattern.
Jupyter in dedicated environment.

jupyter.yaml

Source https://stackoverflow.com/questions/68628524

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install h5pyd

You can install using 'pip install h5pyd' or download it from GitHub, PyPI.
You can use h5pyd like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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