Showing 31 of 283 projects
An R package that extends knitr to provide flexible control over working directories and output paths when generating dynamic reports.
A pandas-based Python library for calculating weighted statistics like means, medians, standard deviations, and distributions.
Visualizes line profiling results in R to help identify performance bottlenecks in code.
A modern and flexible Neo4J driver for R that returns results as tibbles and integrates with tidyverse and graph packages.
A Node.js library for machine learning with linear regression and k-means clustering algorithms.
A Python library for learning Bayesian network structure from observational and interventional data with support for missing values and parallel execution.
A curated collection of open-source libraries, tools, and resources for esports development and data analysis.
A curated collection of open-source libraries, tools, and resources for esports development and data analysis.
A fast, lightweight, object-oriented logging package for R based on Apache Log4j.
A comprehensive Ruby suite for performing basic and advanced statistical analysis, including regression, factor analysis, and reliability testing.
A Ruby implementation of k-means clustering with k-means++ initialization, silhouette scoring, and multiple runs for optimal results.
A Ruby gem for easy and interactive plotting in web applications and IRuby notebooks, built as a plugin for the Daru data analysis library.
An open-source Python suite for light microscopy acquisition, storage, visualization, and analysis, with strong support for single-molecule localization techniques.
A Julia package providing multiple algorithms for non-negative matrix factorization, including multiplicative updates, ALS, coordinate descent, and separable NMF.
An R package providing an interface to InfluxDB for fetching, writing, and managing time series data.
An unofficial Go library providing programmatic access to Google Trends data, including daily trends, interest over time, and geographic insights.
A .NET data visualization library inspired by ggplot2 for creating interactive charts in Blazor web apps and .NET applications.
A Python script using BeautifulSoup to scrape video game sales data from VGChartz and save it as a CSV dataset.
A curated collection of guides, libraries, and resources for analyzing League of Legends data, covering solo queue, esports, and client APIs.
A modular MATLAB-based platform for analyzing super-resolution microscopy (SMLM) data with GPU-accelerated fitting.
A Python package and tutorial collection for signal processing and machine learning, built on NumPy and SciPy.
A complete redesign of Rcpp targeting C++11 for seamless integration between R and C++.
A comprehensive Java library for statistics, data mining, and machine learning with interactive notebook support.
A Python toolkit for extracting, filtering, and analyzing data from web archives, JSON files, and imageboards.
An R package for 3D visualization and analysis of biological image data, especially single neuron tracings.
An R package for image processing and analysis with a focus on microscopy and biological imaging.
A hackable, template-driven web GUI for SQL database exploration and performance analysis, written primarily in SQL.
A Home Assistant add-on that runs JupyterLab for creating documents with live code, equations, and visualizations.
A pattern recognition library for Go providing classification, clustering, and feature extraction algorithms.
A minimalistic Clojure library for statistical analysis, inference, and machine learning.
An Elixir library providing a DataFrame API similar to Python's Pandas and R's data.frame for data manipulation.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.