bdwilliamson/vimp
Perform inference on algorithm-agnostic variable importance
GitHub repository with 24 stars and 8 forks.
Language: R
Topics: statistical-inference, machine-learning, variable-importance, nonparametric-statistics
Perform inference on algorithm-agnostic variable importance
GitHub repository with 24 stars and 8 forks.
Language: R
Topics: statistical-inference, machine-learning, variable-importance, nonparametric-statistics
2026-06-05: 24 stars and 8 forks.
An R package for single-cell and spatial omics analysis, integration, interpretation, and visualization.
GitHub repository with 254 stars and 31 forks.
Trending score: 0.57; stars gained: +2; forks gained: +0.
Language: R
Produce PRISMA-2020 compliant flow diagrams
GitHub repository with 275 stars and 115 forks.
Trending score: 0.49; stars gained: +2; forks gained: +0.
Language: R
Topics: prisma, review, systematic, visualization, meta-analysis, reporting
Tools for making beautiful & useful command line interfaces
GitHub repository with 711 stars and 85 forks.
Trending score: 0.37; stars gained: +1; forks gained: +0.
Language: R
Topics: r, cli
GitHub repository with 10 stars and 0 forks.
Trending score: 0.33; stars gained: +1; forks gained: -1.
Language: R
Constituent history of the S&P 500 from various data sources
GitHub repository with 35 stars and 13 forks.
Trending score: 0.33; stars gained: +1; forks gained: +1.
Language: R
Topics: backtesting, equity-data, equity-research, sp500, sp500-data-analysis
Simple and Customizable Tables in `R`
GitHub repository with 333 stars and 28 forks.
Trending score: 0.32; stars gained: +1; forks gained: +0.
Language: R
pure-Python HistFactory implementation with tensors and autodiff
GitHub repository with 301 stars and 98 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: high-energy-physics, statistical-inference, scientific-computations, numpy, scipy, asymptotic-formulas
Ambrosia is a Python library for A/B tests design, split and result measurement
GitHub repository with 243 stars and 19 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: ab-testing, experiment-design, split-testing, statistical-inference, statistics