Open-source quantitative modeling and automation in R & Python
AutoQuant. Automation framework for machine learning, forecasting, model evaluation, and interpretation.
251Quantico. Shiny App for Echarts Viz, ML, Forecasting, Data Wrangling, Feature Engineering, Inference, and Code Generation
64QuickEcharts. Fast and easy echarts with polars backend for wrangling and a simple API
36RetroFit. Simple, opinionated machine learning workflows for rapid iteration.
27Benchmarks. Compare run times for various data frame packages
24AutoPlots. Fast and easy echarts with data.table backend for wrangling and a simple API
24Rodeo. RODEO: R Optimized Data Engineering Operations
5AutoNLS. AutoNLS is an R package designed to streamline non-linear regression modeling, exploratory data analysis (EDA), visualizations and a Shiny App for GUI usage.
5PolarsFE. PolarsFE is a package with helper functions for feature engineering, using polars
4AutoCopula. AutoCopula is an R package designed for automating copula-based modeling
3AutoNLP. R
2esquisse. RStudio add-in to make plots interactively with ggplot2
2prettydoc. Fork of prettydoc but with an added theme
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