Showing 36 of 376 projects
An F# type provider that enables seamless interoperability with R packages, offering type-safe access to R functions from .NET.
A UC Berkeley course teaching urban data analysis, visualization, and mapping using Python and open-source tools for city planning.
An Elixir plotting library built on VegaLite, offering a clean functional API for creating interactive visualizations.
An R package for flexibly rearranging, reshaping, and aggregating data, now superseded by tidyr.
A Python package for automated univariate and bivariate data analysis and visualization to streamline machine learning workflows.
An R package providing a toolbox of pipeline-friendly functions for manipulating and querying non-tabular data stored in list objects.
A Python package for exploring and analyzing data from your Home Assistant database.
A Go library implementing essential machine learning algorithms including linear regression, logistic regression, and neural networks.
A web client for SQL-like query engines including Hive, Presto, and BigQuery, written in Node.js.
Archived R package for accessing open data from various government and scientific sources.
A blazing fast JavaScript raster processing engine for analyzing GeoTIFFs in browsers and Node.js.
A Clojure library providing data-frames and arrays through Python's pandas and numpy.
A curated list of software, tools, pipelines, and plugins for image analysis in biological research.
A probabilistic cell segmentation method for spatial transcriptomics data from platforms like Xenium, CosMx, MERSCOPE, and Visium HD.
An R package providing multiple pipeline styles (operator, object, function) for readable function chaining and data transformation.
An R package for reading, analyzing, and visualizing public transit data in GTFS format using tidyverse and sf.
Julia package providing easy access to 700+ standard R datasets for data analysis and statistical learning.
A toolkit for parsing, creating, and analyzing Cassandra 3.x SSTables, including an interactive CQL shell.
A genetic programming platform for Python with TensorFlow for fast CPU and GPU symbolic regression and classification.
A tool for creating one-button reproducible workflows with Jupyter Notebook and Scons.
A Neovim plugin that lets you edit database tables like Vim buffers with live SQL preview, transaction undo, and cross-database federation.
An open-source toolkit for analyzing web archives at scale using Apache Spark.
A GraphQL client for R, enabling querying and interacting with GraphQL APIs from the R programming language.
A Rust crate for type-conscious, tabular data manipulation with an expressive, functional interface.
A NumPy-like multi-dimensional array library for Swift with support for complex numbers and image processing.
Import GTFS Schedule data into PostgreSQL for efficient querying and analysis, with support for GraphQL and REST APIs.
A convenience meta-package that loads essential Julia packages for statistics with a single import.
A Rust DataFrame and data engineering library with PySpark/SQL-like syntax, built for business data pipelines with Microsoft stack integration.
A speedrun data store, analysis engine, and racing platform for sharing and analyzing split-by-split run history.
Statistical functions and distributions for Elixir, including descriptive statistics and probability distributions.
A DBI-compliant R interface to MariaDB and MySQL databases, designed as a modern replacement for RMySQL.
A native Swift API for DuckDB, providing a modern interface for high-performance analytical database operations across Apple, Linux, and Windows.
An R package for creating, storing, and manipulating massive matrices using shared memory and memory-mapped files.
A Python library that brings Chart.js interactive charts to Jupyter notebooks with a familiar API.
A Python framework for accessing wind data sources and performing renewable energy forecasting and prediction.
A Python package for Dynamic Mode Decomposition, providing tools to extract spatiotemporal coherent structures from time-varying datasets.
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