pydyfSVG | Convert your vector images

by CourtBouillon Python Version: Current License: BSD-3-Clause

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

kandi X-RAY | pydyfSVG Summary

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

Convert your vector images

Support

Quality

Security

License

Reuse

Support

pydyfSVG has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of pydyfSVG is current.

Quality

pydyfSVG has no bugs reported.

Security

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

License

pydyfSVG is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

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

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

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pydyfSVG Key Features

No Key Features are available at this moment for pydyfSVG.

pydyfSVG Examples and Code Snippets

No Code Snippets are available at this moment for pydyfSVG.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install pydyfSVG

You can download it from GitHub.
You can use pydyfSVG 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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