Data Analysis
Showing 36 of 376 projects
A JavaScript library for scientific and statistical computing, offering R-like statistical methods and linear algebra.
A curated collection of resources for Go-based data analysis, visualization, machine learning, and data science.
A comprehensive collection of notes, tools, and resources for analyzing ChIP-seq and related epigenomic data.
A Python framework for creating flexible and robust spike sorting pipelines in neuroscience electrophysiology.
A flexible command-line tool for generating graphs and charts from CSV data files.
A comprehensive Swift framework providing AI/ML algorithms including neural networks, SVMs, genetic algorithms, and MDPs with GPU acceleration.
A comprehensive Swift framework providing AI/ML algorithms including neural networks, SVMs, PCA, genetic algorithms, and MDPs with GPU acceleration support.
An R package that simplifies parsing, manipulating, and calculating with dates and times.
A collection of IPython notebooks demonstrating data analysis and machine learning techniques on security datasets.
An R package providing comprehensive historical soccer match datasets and analysis functions for European and MLS leagues.
A Python library for introductory data science education, developed for Berkeley's Data 8 course.
Public domain Java software for processing and analyzing scientific images across multiple platforms.
A Python library that brings R's dplyr data manipulation syntax to pandas DataFrames using a pipe operator.
A Jupyter Notebook kernel for interactive data exploration and analysis using Apache Spark with Scala.
A high-performance, functional tabular data processing library for Clojure, similar to Python's Pandas or R's data.table.
A Python toolbox for large-scale calcium and voltage imaging data analysis, including motion correction, source extraction, and spike deconvolution.
A Python library for reading, writing, and analyzing molecular dynamics trajectories with support for numerous file formats.
A Vim plugin that highlights CSV/TSV columns in rainbow colors and provides an SQL-like query language (RBQL) for data manipulation.
A Swift library providing a comprehensive collection of functions for statistical calculations.
A Ruby-based command-line tool for analyzing password dumps to generate statistics and insights for security reports.
A curated guide to essential R packages organized by their role in the data science workflow.
A high-performance C++/DPC++ library for accelerated machine learning on CPUs, GPUs, and distributed systems.
A Python library that automates the tedious parts of exploratory data analysis with cleaning, feature engineering, visualization, and versioning.
A fast, interactive datagrid widget for Jupyter Notebook and JupyterLab with advanced features like selections, renderers, and conditional formatting.
An R interface to Apache ECharts for creating interactive charts and visualizations.
A tutorial series comparing how to implement data science concepts and build applications in both Python and R ecosystems.
An R package for tidy time series forecasting with models like ETS and ARIMA, integrated with the tidyverse.
A Python framework for the Riot Games League of Legends API, designed for easy data access and analysis.
A collection of password cracking rules and masks for hashcat, generated from analysis of real breached password data.
A Python package for analyzing protein structure, dynamics, and sequence evolution with a comprehensive API and GUI.
An R package that automates exploratory data analysis and data treatment with one-line reports and visualizations.
A lightweight Python tool for generating rich summary statistics of pandas and Polars dataframes directly in the console.
A curated reading list of foundational genomics papers for computational biologists and statistical genomics students.
A Julia package providing metaprogramming macros to simplify DataFrame manipulation with a more concise syntax.
An R package to infer gene regulatory networks and identify cell types from single-cell RNA-seq data.
An overlay companion for pandas that provides real-time hints and tips to improve data analysis code.
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