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Spyder 5.4.2

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@dalthviz dalthviz released this 18 Jan 21:34
· 1571 commits to master since this release

Simple installation

The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux (experimental):


  • To use packages such as Scikit-learn or Seaborn with 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

  1. 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.
  2. We also support pip, but please be aware that pip installations 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.


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 on macOS):

conda install spyder=5.4.2


  • It can take a week or two, or even up to a month, for a new Spyder version to be part of Anaconda. Please be patient until then and do not report it as a problem because we don't have any control over that.

  • If you installed Anaconda for the first time, you need to run the following command first:

    conda update anaconda

    before running the command above.


You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or on macOS):

pip install -U spyder

Note: Do not use this command if you are using Anaconda because it will break your installation.

Experimental installation

Besides the Linux experimental installer, we are building also new standalone installers for macOS (x86_64 architecture). Before installing them take into account that these installers are Experimental and are not compatible with the older macOS standalone installer:


A big thank you to all the contributors that made this release possible: @ccordoba12 @mrclary @dalthviz 🎉

Release notes

For the full list of closed issues and merged pull requests in this release, please see our Changelog.