curdling | Concurrent package manager for Python
kandi X-RAY | curdling Summary
kandi X-RAY | curdling Summary
curdling is a Python library. curdling has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install curdling' or download it from GitHub, PyPI.
Concurrent package manager for Python
Concurrent package manager for Python
Support
Quality
Security
License
Reuse
Support
curdling has a low active ecosystem.
It has 275 star(s) with 18 fork(s). There are 11 watchers for this library.
It had no major release in the last 12 months.
There are 33 open issues and 39 have been closed. On average issues are closed in 138 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of curdling is 0.4.1
Quality
curdling has 0 bugs and 0 code smells.
Security
curdling has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
curdling code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
curdling is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
curdling releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
curdling saves you 1512 person hours of effort in developing the same functionality from scratch.
It has 3370 lines of code, 330 functions and 57 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed curdling and discovered the below as its top functions. This is intended to give you an instant insight into curdling implemented functionality, and help decide if they suit your requirements.
- Create an Install Command object
- Try to guess whether the file type is acceptable
- Expand requirements from a file
- Returns a list of package names
- Return the requirements for the given code
- Return imported modules
- Get Distribution from source file
- Get the full path of a module
- Adds a command line parser to the subparser
- Load all users
- Print progress bar
- Adds a parser for uninstall packages
- Print a progress message
- Return a proxy opener
- Do a web search
- Get information about a project
- List all the versions of a package
- Return information about the wheel
- Get a project by name
- Handles the request
- Parse the requirements txt file
- Parse command line arguments
- Process a wheel
- Prints a report of errors to stdout
- Add command line parser
- Find installed packages
Get all kandi verified functions for this library.
curdling Key Features
No Key Features are available at this moment for curdling.
curdling Examples and Code Snippets
No Code Snippets are available at this moment for curdling.
Community Discussions
No Community Discussions are available at this moment for curdling.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install curdling
You can install using 'pip install curdling' or download it from GitHub, PyPI.
You can use curdling 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 curdling 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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