jbradt

pi-hole

A black hole for Internet advertisements

Amethyst

Automatic tiling window manager for macOS à la xmonad.

aws-vault

A vault for securely storing and accessing AWS credentials in development environments

kube-ps1

Kubernetes prompt info for bash and zsh

qmk_firmware

Open-source keyboard firmware for Atmel AVR and Arm USB families

mdloader

Massdrop Firmware Loader - for CTRL / ALT / SHIFT / Rocketeer keyboards

table

🤖 Headless UI for building powerful tables & datagrids for TS/JS - React-Table, Vue-Table, Solid-Table, Svelte-Table

django-rest-framework

Web APIs for Django. 🎸

pybind11

Seamless operability between C++11 and Python

django

The Web framework for perfectionists with deadlines.

python-zeep

A Python SOAP client

magic_cpp_makefile

pugixml

Light-weight, simple and fast XML parser for C++ with XPath support

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

mpld3

An interactive data visualization tool which brings matplotlib graphics to the browser using D3.

ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.

seaborn

Statistical data visualization in Python

yaml-cpp

A YAML parser and emitter in C++

Catch2

A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)

runipy

Run IPython notebooks as command-line scripts, generate HTML reports

bootstrap-social

:couple: Social Sign-In Buttons for Bootstrap

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.