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Minimalist Java framework for rapidly creating scalable, containerless, RESTful microservices. Ship a production-quality, headless, RESTful API in the shortest time possible. Uses Netty for HTTP, Jackson for JSON, Metrics for metrics, properties files for configuration. Sub-projects and plugins enable, NoSQL, Swagger, Auth0, HAL integration, etc.

High-performance, minimalist async-io (proactor) networking for Golang.

  • asyncio
  • proactor
  • c10k
  • epoll

Census Reporter is a Knight News Challenge-funded project to make it easier for journalists to write stories using information from the U.S. Census bureau.

GenFu is a library you can use to generate realistic test data. It is composed of several property fillers that can populate commonly named properties through reflection using an internal database of values or randomly created data. You can override any of the fillers, give GenFu hints on how to fill them.

Krawl is a customizable, lightweight, cloud-native web deception server and anti-crawler that creates fake web applications with low-hanging vulnerabilities using realistic, randomly generated decoy data and AI-generated HTML templates.

:surfer: Traceable, extendable and minimalist **event bus** implementation for Elixir with built-in **event store** and **event watcher** based on ETS.

An open-source stack for generalist computer-use agents, combining code execution, GUI interaction, and cross-device control.

a delightful and customizable mostly monochrome colorscheme thats soft on the eyes and supports treesitter, lsp, and heaps of neovim plugins.

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

  • tabular-data
  • gans
  • train-dataframe
  • adversarial-filtering

Port of a popular ruby faker gem written in kotlin. Generate realistically looking fake data such as names, addresses, banking details, and many more, that can be used for testing and data anonymization purposes.