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DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Technical Analysis Library using Pandas and Numpy
Visualizer for pandas data structures
TranslatedCharts for WeChat Mini Program
PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Awesome charts for AngularJS.
A C++ header-only library of statistical distribution functions.
Easily bring your Python applications online with the world's lightest GUI toolkit.
Universal 1d/2d data containers with Transformers functionality for data analysis.