An easy to install pyATS extension for Gemini CLI
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Feature-rich filesystem mocking for Go tests: comprehensive error injection, latency simulation, write operations, operation statistics, and standalone file handles. Built on testing/fstest.MapFS with comprehensive fs.FS interface support.
- filesystem
- go
- golang
- mock
Stretto mobile version (work in progress)
Flowdock adapter for the lita.io chatbot
YAML and JSON parser, serializer and deserializer with YAML to JSON and vice versa conversion tools containing pure Object Pascal source code for both Delphi and Lazarus
- delphi
- fpc
- json
- json-deserialization
Products extension for Refinery CMS
A lightweight webhook action engine — execute custom commands, scripts, and forward webhooks based on YAML rules when webhook requests arrive.
Implementing promises in Ada. Type-safe, efficient, thread-safe, ...
A reference counted string implementation for D's build in string construct.
Rhythm Trainer based on the idea of users snapping their fingers while listening to music. Won Apple's Global WWDC23 Swift Student Challenge.
Support for In-App Purchase
gRPC interceptor catenation.
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React hooks for integrating with Web Monetization.
- react
- react-hooks
- web-monetization
Encrypted .env files with TOTP unsealing for production deploys. Cross-stack (Node + Java). Zero deps. Defends against npm supply-chain attacks.
- 2fa
- aes-gcm
- dotenv
- encryption
CakePHP Expose plugin to expose entities through additional UUIDs instead of their AIID primary keys
Runtime and memory allocation metrics
- crystal
- performance-analysis
A modular QR management system for hackathons and other events
- hackathon
- hackathon-application
- nodejs
- qr
Example web applications built with Cycle.js.
a minimalistic UI framework for GameMaker
The Write less, do more, Actionscript library modeled like jQuery.
ucAniGifEx Animated Gif Control
- activex-control
- animated-gif
- animated-gifs
- com
Gatling plugin for AMQP/RabbitMQ — publish, request-reply, and consume patterns with connection pooling
- amqp
- gatling
- gatling-plugin
- performance
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.