wheelwright | 🎡 Automated build repo for Python wheels and source packages | Azure library

by explosion Python Version: spacy_llm-v0.3.0 License: MIT

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

kandi X-RAY | wheelwright Summary

wheelwright is a Python library typically used in Cloud, Azure applications. wheelwright has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This repo builds release wheels and source packages for Python libraries available as GitHub repositories. We're currently using it to build wheels for spaCy and our other libraries. The build repository integrates with Azure Pipelines and builds the artifacts for macOS, Linux and Windows on Python 3.5+. All wheels are available in the releases. Special thanks to Nathaniel J. Smith for helping us out with this, to Matthew Brett for multibuild, and of course to the PyPA team for their hard work on Python packaging.

Support

Quality

Security

License

Reuse

Support

wheelwright has a low active ecosystem.

It has 169 star(s) with 27 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

wheelwright has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of wheelwright is spacy_llm-v0.3.0

Quality

wheelwright has 0 bugs and 0 code smells.

Security

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

wheelwright code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

wheelwright is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

wheelwright releases are available to install and integrate.

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Build wheel
Return the GitHub repo id
Return Github GitHub instance
Download assets from a release
Get a release by id

Get all kandi verified functions for this library.

wheelwright Key Features

No Key Features are available at this moment for wheelwright.

wheelwright Examples and Code Snippets

No Code Snippets are available at this moment for wheelwright.

Community Discussions

Trending Discussions on wheelwright

Converting Strings to unique numerical values Pandas or Numpy

QUESTION

Converting Strings to unique numerical values Pandas or Numpy

Asked 2018-Mar-22 at 07:43

I am a beginner in Python and Deep Learning. It might be easy for most of you but how can I do it?

How to convert the below objects into unique numerical values?

...

ANSWER

Answered 2018-Mar-22 at 06:27

IIUC need factorize:

Source https://stackoverflow.com/questions/49421843

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

Vulnerabilities

No vulnerabilities reported

Install wheelwright

Fork or clone this repo and run pip install -r requirements.txt to install its requirements.
Generate a personal GitHub token with access to the repo, user and admin:repo_hook scopes and put it in a file github-secret-token.txt in the root of the repo. Commit the changes. Don't worry, the secrets file is excluded in the .gitignore.
Set up a GitHub service connection on Azure Pipelines with a personal access token and name it wheelwright. This will be used to upload the artifacts to the GitHub release.
Run python run.py build your-org/your-repo [commit/tag].
Once the build is complete, the artifacts will show up in the GitHub release wheelwright created for the build. They'll also be available as release artifacts in Azure Pipelines, so you can add a release process that uploads them to PyPi.
Make a local clone of this repo:.
Be careful with this gibberish; anyone who gets it can impersonate you to GitHub.
If you're ever worried that your token has been compromised, you can delete it here, and then generate a new one.
This token is only used to access the wheelwright repository, so if you want to be extra-careful you could create a new GitHub user, grant them access to this repo only, and then use a token generated with that user's account.

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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