D6T's starred repositories
ews-java-api
A java client library to access Exchange web services. The API works against Office 365 Exchange Online as well as on premises Exchange.
public-apis
A collective list of free APIs
django-cms
The easy-to-use and developer-friendly enterprise CMS powered by Django
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
coding-interview-university
A complete computer science study plan to become a software engineer.
professional-programming
A collection of learning resources for curious software engineers
project-based-learning
Curated list of project-based tutorials
the-art-of-command-line
Master the command line, in one page
supervisord
a go-lang supervisor implementation
latexify_py
A library to generate LaTeX expression from Python code.
git-cheat-sheet
:octocat: git and git flow cheat sheet
FeatureProbe
FeatureProbe is an open source feature management service. 开源的高效可视化『特性』管理平台，提供特性开关、灰度发布、AB实验全功能。
client-sdk-mobile
FeatureProbe Client Side SDK for Android and iOS
feature-probe-server
FeatureProbe API Proxy for Client SDK and Server SDK
server-sdk-java
FeatureProbe Server Side SDK for Java
feature-probe-api
Code is moved to FeatureProbe/FeatureProbe
client-sdk-ios
iOS SwiftPM and Cocoapods repo
client-sdk-js
FeatureProbe Client Side SDK for JavaScript
feature-probe-ui
UI/Portal code is moved to FeatureProbe/FeatureProbe repo.
fp-event-rs
FeatureProbe Internal Event Recorder and Collector for Rust
server-sdk-rust
FeatureProbe Server Side SDK for Rust
server-sdk-specification
Unified Test Cases for All Server Side SDKs
elimination-backend-2022
The backend for Elimination 2022.
elimination-2022
The standalone website for Elimination 2022.
gin_scaffold
Gin best practices, gin development scaffolding, too late to explain, get on the bus.
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'.