vaexio/vaex

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

PythonJavaScriptC++HTMLPHPShellOthervisualizationpythondata-sciencemachine-learningbigdatatabular-datahdf5machinelearningdataframememory-mapped-filepyarrow
This is stars and forks stats for /vaexio/vaex repository. As of 28 Apr, 2024 this repository has 8028 stars and 587 forks.

What is Vaex? Vaex is a high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. It calculates statistics such as mean, sum, count, standard deviation etc, on an N-dimensional grid for more than a billion (10^9) samples/rows per second. Visualization is done using histograms, density plots and 3d volume rendering, allowing interactive exploration of big data. Vaex uses memory mapping, zero memory copy policy and lazy computations...
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