ast_node | abstract syntax tree building

by PennyroyalTea Python Version: Current License: No License

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

kandi X-RAY | ast_node Summary

ast_node is a Python library. ast_node has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

abstract syntax tree building and executing

Support

Quality

Security

License

Reuse

Support

ast_node 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.

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

It has a neutral sentiment in the developer community.

The latest version of ast_node is current.

Quality

ast_node has no bugs reported.

Security

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

License

ast_node 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.

Reuse

ast_node 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.

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ast_node Key Features

No Key Features are available at this moment for ast_node.

ast_node Examples and Code Snippets

No Code Snippets are available at this moment for ast_node.

Community Discussions

No Community Discussions are available at this moment for ast_node.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install ast_node

You can download it from GitHub.
You can use ast_node 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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