The perfect sidekick to your scientific inquiries

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Meta-package for data analysis in Julia, modeled after the R tidyverse.

Statistical plotting recipes for Plots.jl

Specifying, fitting, and evaluating statistical models in Julia

Julia package for loading many of the data sets available in R

A meta package for data science in julia

Reproducible data setup for reproducible science

Simple, fast, column-based storage for data analysis in Julia

Split-apply-combine strategies for Julia

Causal.jl - A modeling and simulation framework adopting causal modeling approach.

Transforms and pipelines with tabular data in Julia

An API for dispatching on the "scientific" type of data instead of the machine type

Timeseries in Julia

High level functions for analyzing the output of simulations

Imputation methods for missing data in julia

A Julia RNG with stable streams

Generator of fake data for julia

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Data visualization in Julia

Transformations for performing feature engineering in machine learning applications

Access to World Bank data for Julia

A make-like system for data analysis

Julia API for accessing Socrata open data sets

Julia package for studying co-occurrences in PubMed articles

Interface to common crawl dataset on Amazon S3

Simple(r) access to face-related datasets

A small package to allow for easy access and download of datasets from UCI ML repository

Julia package for handling the Netflix Prize data set of 2006

Utilities for working with many different versions/parameterizations of models

Julia Interface for Public Suffix List