Skip to main content

A Cython wrapper to the IPOPT optimization package

Project description


Ipopt (Interior Point OPTimizer, pronounced eye-pea-Opt) is a software package for large-scale nonlinear optimization. cyipopt is a python wrapper around Ipopt. It enables using Ipopt from the comfort of the great Python scripting language.

Ipopt is available from the COIN-OR initiative (, under the Eclipse Public License (EPL).


cyipopt has been tested successfully on windows 7 32bit/64bit and Ubuntu 10.10 64bit with Ipopt 3.10.1.


To install cyipopt you will need the following prerequisites:

python 2.6+ numpy scipy cython

Python(x,y) ( is a great way to get all of these if you are satisfied with 32bit.

You will also need the binaries and header files of the Ipopt package. I recommend downloading the binaries from especially as they include a version compiled against the MKL library.

Download the source files of cyipopt and update ‘’ to point to the header files and binaries of the Ipopt package. Then, execute ‘python install’ from the command line. You can test the installation by running the examples under the folder test

Note About Linux Installation

Under linux you might need to let the OS know where to look for the Ipopt lib files, e.g use:

export LD_LIBRARY_PATH=<PATH to Ipopt lib files>

Project details

Release history Release notifications

This version
History Node


Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date (109.5 kB) Copy SHA256 hash SHA256 Source None Jun 10, 2012

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page