Vaex is a program and Python library to visualize and explore large tabular datasets. It can calculate statistics.
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Vaex is a program and Python library to visualize and explore large tabular datasets. It can calculate statistics.
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HoloViews is an open-source Python library designed to make data analysis and visualization seamless and simple.
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Dask is a flexible parallel computing library for analytic computing. It takes a Python job and shares it across multiple systems.
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Optimus is the missing framework to profile, clean, process and do ML in a distributed fashion using Apache Spark (PySpark).
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yt is an open-source Python package for analyzing and visualizing volumetric data. yt focuses on driving physically-meaningful inquiry.
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AWS Data Wrangler extends the power of Pandas library to AWS connecting DataFrames and AWS data related services.
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The R Project for Statistical Computing (R) is a free software environment for statistical computing and graphics.
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MOA is a software environment for implementing algorithms and running experiments for online learning from evolving data streams.
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Orange is a component-based framework for machine learning and data mining. It includes a range of data visualization, and exploration.
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Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI) is a data mining software framework.
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