Increasingly, packages are being built on top of pandas to address specific needs in data preparation, analysis and visualization. This is encouraging because it means pandas is not only helping users to handle their data tasks but also that it provides a better starting point for developers to build powerful and more focused data tools. The creation of libraries that complement pandas’ functionality also allows pandas development to remain focused around it’s original requirements.
This is an in-exhaustive list of projects that build on pandas in order to provide tools in the PyData space.
http://pandas.pydata.org/pandas-docs/version/0.15.0/ecosystem.html
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