Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
-
Windows (Windows 10+): Windows-x86_64.exe
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macOS (11.0+): macOS-x86_64.pkg
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Linux (CentOS 7+): Linux-x86_64.sh
Notes:
- To use packages such as
Scikit-learnorSeabornwith these installers, please read the following entry in our documentation FAQ. - To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
- If you are new to Python or the Scientific Python ecosystem, we strongly recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
- We also support
pip, but please be aware thatpipinstallations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge/label/spyder_dev -c conda-forge/label/spyder_kernels_rc -c conda-forge spyder=6.0.0rc1
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install --pre -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this release possible: @mrclary @dalthviz @hlouzada @ccordoba12 @jitseniesen 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.