Skip to main content

Cutting stock problem optimizer

Project description

opcut is cutting stock problem optimizer ( utilizing multiple panels and guillotine cuts (end-to-end cuts). This project includes multiple back-end optimizer implementations, command line front-end and single-page web application front-end.

Runtime requirements

  • python >=3.6

Additional required python packages are listed in requirements.txt.

Development requirements

  • nodejs >=7
  • yarn


$ pip install opcut


Running server (default listening address

$ opcut server

Running command line utility:

$ opcut calculate ...

Additional command line arguments:

$ opcut --help


Build tool used for opcut is pydoit ( It can be installed together with other python dependencies by running:

$ pip install -r requirements.txt

For listing available doit tasks, use:

$ doit list

Default task:

$ doit

creates dist folder containing opcut distribution.


  • global

    • create CONTRIBUTING
  • optimizer

    • add additional algorithms
    • evaluate python implementations and do native rewrites if needed
  • back-end

    • additional output formats

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 opcut, version 0.1.3
Filename, size File type Python version Upload date Hashes
Filename, size opcut-0.1.3-py3-none-any.whl (1.4 MB) File type Wheel Python version py3 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