christophmark/bayesloop
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself. New implementation in http://github.com/probcomp/bayeslite
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Python package for Bayesian Machine Learning with scikit-learn API
Open-source Snowflake & Fivetran alternative, with Postgres compatibility.
A crazy fast analytical database, built on bitmaps. Perfect for ML applications. Learn more at: http://docs.featurebase.com/. Start a Docker instance: https://hub.docker.com/r/featurebasedb/featurebase
Simple SQL Client for lightweight data analysis.
2 captures since 2026-05-24