prol | Demo of a WAM Prolog implementation in Python

by brunokim Python Version: Current License: Apache-2.0

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

kandi X-RAY | prol Summary

prol is a Python library. prol has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However prol build file is not available. You can download it from GitHub.

This is a simplified Warren Abstract Machine (WAM) implementation for Prolog, that showcases the main instructions, compiling, register allocation and machine functions.

Support

Quality

Security

License

Reuse

Support

prol has a low active ecosystem.

It has 66 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of prol is current.

Quality

prol has no bugs reported.

Security

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

License

prol is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

prol releases are not available. You will need to build from source code and install.

prol has no build file. You will be need to create the build yourself to build the component from source.

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prol Key Features

No Key Features are available at this moment for prol.

prol Examples and Code Snippets

No Code Snippets are available at this moment for prol.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install prol

You can download it from GitHub.
You can use prol 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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