pypicloud | S3-backed pypi server implementation | Build Tool library
kandi X-RAY | pypicloud Summary
kandi X-RAY | pypicloud Summary
pypicloud is a Python library typically used in Utilities, Build Tool applications. pypicloud 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.
S3-backed pypi server implementation
S3-backed pypi server implementation
Support
Quality
Security
License
Reuse
Support
pypicloud has a low active ecosystem.
It has 476 star(s) with 136 fork(s). There are 14 watchers for this library.
It had no major release in the last 6 months.
There are 34 open issues and 196 have been closed. On average issues are closed in 80 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of pypicloud is current.
Quality
pypicloud has 0 bugs and 0 code smells.
Security
pypicloud has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pypicloud code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pypicloud 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
pypicloud releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed pypicloud and discovered the below as its top functions. This is intended to give you an instant insight into pypicloud implemented functionality, and help decide if they suit your requirements.
- Include pyramid pyramid
- Read prefix from environ
- Return the value for key
- Default fallback url
- Create sync scripts
- Make a virtualenv
- Builds a lambda bundle
- Create the default role
- Load user configuration file
- %prog migrations
- Configure DynamoCache
- Parse an S3 event
- Dump pypicloudloudloudloudloud data
- Load user data
- Fetch releases from upstream
- Generate the URL for a given package
- Configure the given settings
- Return a list of Package objects that match the criteria
- %prog make_config
- Reload packages from storage
- Configure authentication
- Download the given package
- Search all installed packages
- Fetch a user
- Creates a boto3 bucket
- Reload cache from storage
Get all kandi verified functions for this library.
pypicloud Key Features
No Key Features are available at this moment for pypicloud.
pypicloud Examples and Code Snippets
No Code Snippets are available at this moment for pypicloud.
Community Discussions
Trending Discussions on pypicloud
QUESTION
Update version in setup.py before uploading package to pypicloud
Asked 2020-Feb-21 at 19:56
I am automating the deployment of my python packages to pypicloud. For this I need to update the setup.py
file and increase the version by 1 before creating and uploading the package. Looking for a solution using simple file handling in python. Any other leads will also help.
Contents of setup.py
ANSWER
Answered 2020-Feb-21 at 19:56You can use the bump
package for this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pypicloud
You can download it from GitHub.
You can use pypicloud 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.
You can use pypicloud 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 .
Find more information at:
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