A plain-Ruby implementation of GraphQL.

Track changes to your models, for auditing or versioning. See how a model looked at any stage in its lifecycle, revert it to any version, or restore it after it has been destroyed.

A plain-Ruby implementation of GraphQL.

Go faster, off the Rails

Rack middleware to measure production code usage (LOC runtime usage)

As a FOG provider, fog-aliyun support aliyun OSS/ECS. It will support more aliyun services later.

Go faster, off the Rails

Benchmark-style memory profiling

Promises/A+ for Ruby

lazy_preload implementation for ActiveRecord models

Converts ANSI to HTML

In the last few years digital currencies have successfully demonstrated their ability to become an alternative financial instrument in many different markets. Most of the technologies available at the moment are based on the principles of Blockchain architecture, including dominating currencies like Bitcoin and Ethereum. Despite its popularity, Blockchain is not the best possible solution for all scenarios. One such example is for fast micro-payments. Zold is an experimental alternative that enables distributed transactions between anonymous users, making micro-payments financially feasible. It borrows the proof-of-work principle from Bitcoin, and suggests a different architecture for digital wallet maintenance.

Auto-create models, views, controllers, and routes with this slick Rails extension

CMSScanner Implementation Example

Tipi - the All-in-one Web Server for Ruby Apps

Open-source gems maintenance & maturity tracking

Markov chains for all your friends~

WPScan is a black box WordPress vulnerability scanner.

ArelToolkit contains parsing, querying, modifying, optimisations, extensions and more for Arel.

Ticketing systems (Github, Jira, etc.) are strongly integrated into our processes and everyone understands their necessity. As soon as a developer becomes a lead/technical manager, he or she faces a set of routine tasks that are related to ticketing work. On large projects this becomes a problem, more and more you spend time running around on dashboards and tickets, looking for incorrect deviations in tickets and performing routine tasks instead of solving technical problems.