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@@ -512,7 +512,7 @@ _Libraries for visualizing data. Also see [awesome-javascript](https://github.co
- [vispy](https://github.com/vispy/vispy) - High-performance scientific visualization based on OpenGL.
- Specialized
- [cartopy](https://github.com/SciTools/cartopy) - A cartographic python library with matplotlib support.
- [pygraphviz](https://github.com/pygraphviz/pygraphviz/) - Python interface to [Graphviz](http://www.graphviz.org/).
- [pygraphviz](https://github.com/pygraphviz/pygraphviz/) - Python interface to [Graphviz](https://www.graphviz.org/).
- Dashboards and Apps
- [gradio](https://github.com/gradio-app/gradio) - Build and share machine learning apps, all in Python.
- [streamlit](https://github.com/streamlit/streamlit) - A framework which lets you build dashboards, generate reports, or create chat apps in minutes.
@@ -840,7 +840,7 @@ _Libraries for working with graphical user interface applications._
- [nicegui](https://github.com/zauberzeug/nicegui) - An easy-to-use, Python-based UI framework, which shows up in your web browser.
- [pywebview](https://github.com/r0x0r/pywebview/) - A lightweight cross-platform native wrapper around a webview component.
- Terminal
- [curses](https://docs.python.org/3/library/curses.html) - (Python standard library) The built-in wrapper for [ncurses](http://www.gnu.org/software/ncurses/) used to create terminal GUI applications.
- [curses](https://docs.python.org/3/library/curses.html) - (Python standard library) The built-in wrapper for [ncurses](https://www.gnu.org/software/ncurses/) used to create terminal GUI applications.
- [urwid](https://github.com/urwid/urwid) - A library for creating terminal GUI applications with strong support for widgets, events, rich colors, etc.
- Wrappers
- [gooey](https://github.com/chriskiehl/Gooey) - Turn command line programs into a full GUI application with one line.
@@ -1132,7 +1132,7 @@ Where to discover learning resources or new Python libraries.
### Newsletters
- [Awesome Python Newsletter](http://python.libhunt.com/newsletter)
- [Awesome Python Newsletter](https://python.libhunt.com/newsletter)
- [Pycoder's Weekly](https://pycoders.com/)
- [Python Tricks](https://realpython.com/python-tricks/)
- [Python Weekly](https://www.pythonweekly.com/)