Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

Pilosa is an open source, distributed bitmap index that dramatically accelerates queries across multiple, massive data sets.