Skip to main content
Join the official 2020 Python Developers SurveyStart the survey!

Mesh optimization/smoothing

Project description

optimesh

CircleCI codecov Codacy grade Code style: black smooth PyPi Version GitHub stars

Installation

optimesh is available from the Python Package Index, so simply do

pip install -U optimesh

to install or upgrade. Use sudo -H to install as root or the --user option of pip to install in $HOME.

Relevant publications

Testing

To run the optimesh unit tests, check out this repository and type

pytest

Distribution

To create a new release

  1. bump the __version__ number,

  2. publish to PyPi and tag on GitHub:

    $ make publish
    

License

optimesh is published under the MIT license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for optimesh, version 0.1.0
Filename, size File type Python version Upload date Hashes
Filename, size optimesh-0.1.0-py2.py3-none-any.whl (11.8 kB) File type Wheel Python version py2.py3 Upload date Hashes View
Filename, size optimesh-0.1.0.tar.gz (10.5 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page