Maestro: Netflix’s Workflow Orchestrator

Tomato Architecture - A common sense driven approach to software architecture

Specifications for OpenTelemetry

The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

Fully featured .NET library in C# to build MTConnect Agent, Adapter, and Client Applications. Pre-built Agents with Windows Installers. Support for Windows and Linux. Supports MTConnect Versions up…

Plugins to help with using Google Play services SDK.

Open-source IoT Platform - Device management, data collection, processing and visualization.

Eclipse Milo™ - an open source implementation of OPC UA (IEC 62541).

Socket.IO integration for Flask applications.

A step by step guide to create an application supporting third-party plugins in Java and Spring boot

LGPL Pure Python OPC-UA Client and Server

Admin UI for administration of spring boot applications

A web-based social network aggregator and tool for power-users

A collection of design patterns/idioms in Python

An opinionated list of awesome Python frameworks, libraries, software and resources.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Survival analysis in Python

Materials for our team teaching+learning sessions around CS, ML, stats, and related data science topics. Intended to take ~45 minutes, mostly in narrative IPython notebooks.

TensorFlow tutorials and best practices.

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

An analysis of Ed Sheeran's Songs

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

Python Data Science Handbook: full text in Jupyter Notebooks

#HUD A Study of the Well Being of the Residents of San Francisco

Minimal and clean examples of machine learning algorithms implementations

Guide for getting a gig as a tech student.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)