An extensible framework for application-level data management on Kubernetes, Kanister is a Cloud Native Computing Foundation sandbox project and was originally created by the Veeam Kasten team.
- data-protection
- golang
- kubernetes
- cloud-native
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An extensible framework for application-level data management on Kubernetes, Kanister is a Cloud Native Computing Foundation sandbox project and was originally created by the Veeam Kasten team.
Call of Duty: Zombies demake, powered by various Quake sourceports. https://docs.nzp.gay/
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
GUI library for displaying various popups (HUD), written in pure Swift.
✅ checks presence of various command line tools and their versions on the path
Mario + Portal platformer
A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well
Colored symbols for various log levels
Bundle of more than 30 new text objects for Neovim.
Lovely PHP wrapper for using the command-line
Usable, easy and safe pure-Rust crypto
A native Mach-O iOS/macOS port of Mario Kart 8 Deluxe, with LAN, online and wireless multiplayer
Swagger integration to Phoenix framework
WAFer is a C language-based software platform for scalable server-side and networking applications. Think node.js for C programmers.
Traffic scenario definition and execution engine
Statically typechecks a common SQL dialect and translates it to various RDBMS backends
A collection of Waybar themes inspired by Omarchy, designed to be compatible with various Linux distributions.
RedisSMQ: A high-performance Redis message queue for Node.js
Making Laravel Passport work with Lumen
Samples and template scenarios for AWS CodeDeploy
Run Node.js on Android by rewrite Node.js in Java
SwiftOverlays is a Swift GUI library for displaying various popups and notifications
🐟 A Swiss-Army Knife for Data I/O
The codes I made while I practiced various TensorFlow examples