Spyder
NumFOCUS Sponsored Project since 2022Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It features 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. The Spyder project also maintains a number of other popular tools in the PyData ecosystem and beyond, including Jupyter QtConsole, QtPy, QtAwesome, Python-LSP-Server, LogHub, Lektor-Icon, Docrepr and more, alongside a bevy of Spyder plugins.
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Industry
Higher Education Research and Teaching, Business/Industry, Government Research, Biology/Medicine, Engineering, Data Science
Language
Python
Features
Data Wrangling, Visualization, High Performance Computing, Statistical Computing, Numerical Computing, Data Mining, Educational Outreach, Data exploration, Code editing, Debugging, Code Analysis, interactive execution, Data ingest/export, Help and documentation
Spyder is a powerful Python scientific environment for data analysis and machine learning, with a unique combination of software development tools and the interactive data exploration and visualization capabilities, giving scientists, engineers and data analysts the tools they need to change the world. The Spyder project also maintains numerous other popular libraries and tools in the PyData ecosystem and beyond, alongside a bevy of Spyder plugins.
Spyder is a Python scientific environment and IDE written in Python, for Python, and designed by and for scientists, engineers and data analysts. It features a unique combination of the advanced editing, analysis, debugging, and profiling functionality with data exploration, interactive execution, deep inspection, and beautiful visualization capabilities. It integrates with many popular scientific libraries, including NumPy, SciPy, Pandas, Matplotlib, IPython, SymPy, Cython, Jupyter and more.
The Spyder project also maintains Jupyter QtConsole, QtPy, QtAwesome, Python-LSP-Server, LogHub, Lektor-Icon, Docrepr and many others, alongside numerous Spyder plugins, including Spyder-Terminal, Spyder-Notebook, Spyder-Unittest, Spyder-Vim, Spyder-Line-Profiler, Spyder-Memory-Profiler and more.
