Cartopy alternatives and similar packages
Based on the "Data Visualization" category.
Alternatively, view Cartopy alternatives based on common mentions on social networks and blogs.
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Apache Superset
Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset] -
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redash
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data. -
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plotly
The interactive graphing library for Python (includes Plotly Express) :sparkles: -
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PyQtGraph
Fast data visualization and GUI tools for scientific / engineering applications -
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Flask JSONDash
:snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go. -
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GooPyCharts
A Google Charts API for Python, meant to be used as an alternative to matplotlib.
Optimize your datasets for ML
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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README
Cartopy is a Python package designed to make drawing maps for data analysis and visualisation easy.
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Table of contents
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Overview
Cartopy is a Python package designed to make drawing maps for data analysis and visualisation easy.
It features:
- object oriented projection definitions
- point, line, polygon and image transformations between projections
- integration to expose advanced mapping in Matplotlib with a simple and intuitive interface
- powerful vector data handling by integrating shapefile reading with Shapely capabilities
Documentation can be found at https://scitools.org.uk/cartopy/docs/latest/.
Get in touch
- Ask usage questions on StackOverflow.
- For less well defined questions, ideas, general discussion or announcements of related projects use the Google Group.
- Report bugs, suggest features or view the source code on GitHub.
- To chat with developers and other users you can use the Gitter Chat
Credits, copyright and license
Cartopy is developed collaboratively under the SciTools umberella.
A full list of codecontributors ("Cartopy contributors") can be found at https://github.com/SciTools/cartopy/graphs/contributors.
Code is just one of many ways of positively contributing to Cartopy, please see our [contributing guide](.github/CONTRIBUTING.md) for more details on how you can get involved.
Cartopy is released under a LGPL license with a shared copyright model. See [COPYING](COPYING) and [COPYING.LESSER](COPYING.LESSER) for full terms.
The Met Office has made a significant contribution to the development, maintenance and support of this library. All Met Office contributions are copyright on behalf of the British Crown.
*Note that all licence references and agreements mentioned in the Cartopy README section above
are relevant to that project's source code only.