Публічний реєстр стану програмного забезпечення.

Computing-focused community centered around link aggregation and discussion

Every API has a secret identity. This finds it, absorbs every feature from every competing tool, then builds the GOAT CLI — designed for AI agents first, with SQLite sync, offline search, and compound insight commands.

📦 Babel loader for webpack

Open-source PDF generation library built with TypeScript and React. Features a WYSIWYG template designer, PDF viewer, and powerful generation capabilities. Create custom PDFs effortlessly in both browser and Node.js environments.

GOWA - WhatsApp REST API with support for UI, Multi Account, Webhooks, and MCP, and Chatwoot. Built with Golang for efficient memory use.

Opinionated paranoid text spacing in JavaScript, with on-device AI semantic judgment

ASCII table in golang

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.