# PyGMT

> Python interface to the Generic Mapping Tools (GMT) for maps and figures in the geosciences.

- Category: [Python data visualization libraries](https://awesomedataviz.com/categories/python/)
- Website: https://www.pygmt.org
- Repository: https://github.com/GenericMappingTools/pygmt
- License: BSD-3-Clause
- Language: Python
- Status: Active (commits in the last 90 days)
- GitHub stars: 875
- Commits in the last 12 months: 584
- Contributors: 57
- Last commit: Oct 4, 2026
- Latest release: v0.19.0 (Jul 7, 2026)
- Install (PyPI): `pip install pygmt`
- Topics: Maps & geospatial visualization

## Overview

PyGMT is an open-source Python visualization library released under the BSD-3-Clause license. Its GitHub repository has 875 stars, 256 forks, and 57 contributors. It is actively developed with 584 commits in the last 12 months. The latest release, v0.19.0, was published on Jul 7, 2026.

## Alternatives

- [Streamlit](https://awesomedataviz.com/tools/streamlit/): Framework for turning Python scripts into interactive data apps. (45.9K stars)
- [Dash](https://awesomedataviz.com/tools/dash/): Framework for building data apps and dashboards in Python, built on Plotly.js and React. (24.4K stars)
- [Matplotlib](https://awesomedataviz.com/tools/matplotlib/): 2D plotting library. (23.3K stars)
- [Bokeh](https://awesomedataviz.com/tools/bokeh/): Interactive Web Plotting for Python. (20.5K stars)
- [Taipy](https://awesomedataviz.com/tools/taipy/): Python framework for building data and AI web applications with interactive charts and dashboards. (19.4K stars)
- [Plotly (Python)](https://awesomedataviz.com/tools/plotly-python/): Interactive web based visualization built on top of plotly.js (18.8K stars)

Source: https://awesomedataviz.com/tools/pygmt/ · Data updated 2026-10-05 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).