Python toolkit for quantitative finance

Bundle your Julia application

The Julia Programming Language

Rust library for quantitative finance.

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

The financial transactions database designed for mission critical safety and performance.

An extremely fast Python package installer and resolver, written in Rust.

Project Preferences Package

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable i…

a Hassle-Free Python Experience

The OS for your personal finances

A Julia package for the detection of multiple changepoints in time series.

A Julia wrapper for the Alpha Vantage API.

A fixed income library for pricing bonds and bond futures, and derivatives such as IRS, cross-currency and FX swaps. Contains tools for full Curveset construction with market standard optimisers an…

A Julia wrapper for libpq

State estimation, smoothing and parameter estimation using Kalman and particle filters.

Composable contracts, models, and functions that allow for modeling of both simple and complex financial instruments

Generate PowerPoint PPTX files from Julia

Create LaTeX documents from within Julia, including image handling

A flexible logging library for Julia

A Julia style guide that lives in a blue world

Create and maintain local registries for Julia packages.

Finally, a GUI Engine made for Julia

💨 A breath of fresh air for programming web apps in Julia

A Julia package for evaluating distances (metrics) between vectors.

Julia implementation of QuantEcon routines

Functional reactive programming extensions library for Julia

Julia package for automated Bayesian inference on a factor graph with reactive message passing