This package is in early stages development. We welcome any feedback and ideas! Let us know by submitting issues on Github or send us a message on our Gitter chatroom.

Getting started

  1. Try an online demo at
  2. Install (tested and working on Linux and macOS)
  3. Follow the Tutorials.
  4. Take a look at the API Reference for a list of modules that are already available.


Found a typo? You can fix it by clicking on “Improve this page” at the top of every page. Some pages are autogenerated and can’t be edited so you’ll be prompted to report an issue instead. We really appreciate the help!


Watch the Scipy 2017 talk about GMT/Python for more information about the history and goals of the project:

Project goals

  • Build a modern Pythonic API that appeals to Python programmers who want to use GMT.
  • Implement readable and explicit aliases for the GMT command-line arguments (region instead of R, projection instead of J, etc).
  • Use the new GMT modern mode for simplified execution and figure generation.
  • Interface with the GMT C API directly using ctypes (no system calls).
  • Integration with the Jupyter notebook to display plots and maps inline.
  • Input and output using Python native containers: numpy.ndarray or pandas.DataFrame for data tables and xarray Dataset for netCDF grids.

Contacting Us


Please read our Contributing Guide to see how you can help and give feedback.

Imposter syndrome disclaimer

We want your help. No, really.

There may be a little voice inside your head that is telling you that you’re not ready to be an open source contributor; that your skills aren’t nearly good enough to contribute. What could you possibly offer?

We assure you that the little voice in your head is wrong.

Being a contributor doesn’t just mean writing code. Equality important contributions include: writing or proof-reading documentation, suggesting or implementing tests, or even giving feedback about the project (including giving feedback about the contribution process). If you’re coming to the project with fresh eyes, you might see the errors and assumptions that seasoned contributors have glossed over. If you can write any code at all, you can contribute code to open source. We are constantly trying out new skills, making mistakes, and learning from those mistakes. That’s how we all improve and we are happy to help others learn.

This disclaimer was adapted from the MetPy project.


GMT/Python is free software: you can redistribute it and/or modify it under the terms of the BSD 3-clause License.