Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It offers a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package.
Beyond its many built-in features, its abilities can be extended even further via its plugin system and API. Furthermore, Spyder can also be used as a PyQt5 extension library, allowing you to build upon its functionality and embed its components, such as the interactive console, in your own software.
Work efficiently in a multi-language editor with a function/class browser, real-time code analysis tools (
pycodestyle), automatic code completion (
rope), horizontal/vertical splitting, and go-to-definition.
Harness the power of as many IPython consoles as you like with full workspace and debugging support, all within the flexibility of a full GUI interface. Instantly run your code by line, cell, or file, and render plots right inline with the output or in interactive windows.
Render documentation in real-time with Sphinx for any class or function, whether external or user-created, from either the Editor or a Console.
Inspect any variables, functions or objects created during your session. Editing and interaction is supported with many common types, including numeric/strings/bools, Python lists/tuples/dictionaries, dates/timedeltas, Numpy arrays, Pandas index/series/dataframes, PIL/Pillow images, and more.
Examine your code with the static analyzer, trace its execution with the interactive debugger, and unleash its performance with the profiler. Keep things organized with project support and a built-in file explorer, and use find in files to search across entire projects with full regex support.
You can read the Spyder documentation online on the Spyder Docs website.
For a detailed guide to installing Spyder, please refer to our installation instructions.
The easiest way to install Spyder on any of our supported platforms is to download it as part of the Anaconda distribution, and use the
conda package and environment manager to keep it and your other packages installed and up to date.
If in doubt, you should always install Spyder via this method to avoid unexpected issues we are unable to help you with; it generally has the least likelihood of potential pitfalls for non-experts, and we may be able to provide limited assistance if you do run into trouble.
Other installation options exist, including:
- The WinPython distribution for Windows
- The MacPorts project for macOS
- Your distribution's package manager (i.e.
yum, etc) on Linux
pippackage manager, included with most Python installations
However, we lack the resources to provide individual support for users who install via these methods, and they may be out of date or contain bugs outside our control, so we recommend the Anaconda version instead if you run into issues.