gCodeOptimizer | An attempt at optimizing GCode for laser cutting

by wreality Python Version: Current License: No License

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kandi X-RAY | gCodeOptimizer Summary

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

An (awful) attempt at optimizing GCode for laser cutting. It uses a brute force method for finding the next nearest point. Since the problem is NP hard, the execution time will increase exponentially as the input file size increases. In practice, this hasn't been a /huge/ problem (for large files, the processing time is long, but the savings in cut time on the laser are worth the extra processing time). Note this code relies on M3/M5 being used to turn the laser on and off and sections of code to be optimzed being tagged ("; Start of path" and "; End of Path" by default). Each section is optimized separately so that path orders can be preserved.

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Support

gCodeOptimizer has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of gCodeOptimizer is current.

Quality

gCodeOptimizer has no bugs reported.

Security

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

License

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

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

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gCodeOptimizer Key Features

No Key Features are available at this moment for gCodeOptimizer.

gCodeOptimizer Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install gCodeOptimizer

You can download it from GitHub.
You can use gCodeOptimizer 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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