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DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Linux system exploration and troubleshooting tool with first class support for containers

A graph node engine and editor written in Javascript similar to PD or UDK Blueprints, comes with its own editor in HTML5 Canvas2D. The engine can run client side or server side using Node. It allows to export graphs as JSONs to be included in applications independently.

  • graph
  • modular
  • javascript
  • visual-programming

1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java

  • 1brc
  • challenges

The Score Specification provides a developer-centric and platform-agnostic Workload specification to improve developer productivity and experience. It eliminates configuration inconsistencies between environments.

A use-package inspired plugin manager for Neovim. Uses native packages, supports Luarocks dependencies, written in Lua, allows for expressive config

Expression language and expression evaluation for Go

  • configuration-language
  • expression
  • evaluator
  • go