Open-source alternatives to Ggplot

Graph layout algorithms in pure Julia

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

DEPRECATED: Data structures that allow missing values

In-memory tabular data in Julia

A Julia package for probability distributions and associated functions.

Hypothesis tests for Julia

Time series toolkit for Julia

UNMAINTAINED! Renders beautiful SVG maps in Python.

a plottling library for python, based on D3

library for working with tabular data in Julia

PyMC is a Bayesian probabilistic programming framework used for building probabilistic models and performing Bayesian inference. It provides a probabilistic graphical model library for specifying random variables, priors, and likelihood functions, supported by an MCMC sampling engine and variational inference tools to estimate posterior distributions. The framework features a GPU-accelerated inference backend that compiles models into machine code to increase execution speed. It utilizes a backend-agnostic tensor execution model and just-in-time graph compilation to optimize the computation o

Zipline is a Python-based algorithmic trading library designed for the development and backtesting of investment strategies. It functions as a quantitative finance engine that processes historical market data to simulate trading interactions and evaluate strategy performance through custom metrics. The platform provides a modular, event-driven framework that manages portfolio state transitions based on time-series data streams. Beyond its core trading capabilities, the system includes a comprehensive financial data analysis toolkit for manipulating large-scale market datasets to support syste

Statsmodels is a comprehensive Python library designed for statistical modeling, econometric research, and data analysis. It provides a robust framework for estimating and diagnosing a wide range of statistical models, enabling users to perform rigorous hypothesis testing, regression analysis, and complex data exploration within structured environments. The library distinguishes itself through its support for advanced statistical methodologies, including state space representation for dynamic systems and generalized linear frameworks that accommodate non-normal response variables. It offers s

SymPy is a Python computer algebra system and symbolic mathematics library. It performs algebraic manipulations, calculus, and equation solving using symbolic representations to achieve exact computations rather than numerical approximations. The library includes a LaTeX expression parser that converts mathematical strings into symbolic representations for computation and formula manipulation. It also incorporates a mathematical benchmarking suite to measure execution speed and detect performance regressions across different software versions. The system provides capabilities for automated m

A Python to Vega translator