stdlib | Raw data and scripts for the Numeracy Standard Library
kandi X-RAY | stdlib Summary
kandi X-RAY | stdlib Summary
stdlib is a Python library. stdlib has no bugs, it has no vulnerabilities and it has low support. However stdlib build file is not available. You can download it from GitHub.
Raw data and scripts for the Numeracy Standard Library
Raw data and scripts for the Numeracy Standard Library
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Quality
Security
License
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Support
stdlib has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
stdlib has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of stdlib is current.
Quality
stdlib has no bugs reported.
Security
stdlib has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
stdlib does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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stdlib releases are not available. You will need to build from source code and install.
stdlib has no build file. You will be need to create the build yourself to build the component from source.
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stdlib Key Features
No Key Features are available at this moment for stdlib.
stdlib Examples and Code Snippets
No Code Snippets are available at this moment for stdlib.
Community Discussions
No Community Discussions are available at this moment for stdlib.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install stdlib
You can download it from GitHub.
You can use stdlib 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 stdlib 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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