Popular GitHub Repositories for Billing 7054

Deep neural network to extract intelligent information from invoice documents.

Metering and Billing for AI, API and DevOps. Collect and aggregate millions of usage events in real-time and enable usage-based billing.

Unity's privacy-preserving human-centric synthetic data generator

Instantly build Node.js API backend services with Vratix ?. A collection of open-source, production-ready API modules for Express.js written in TypeScript. Supports authentication, Stripe billing, email integrations (Postmark), AWS S3 uploads, Docker configs, and more!

Unity's Privacy-Preserving Novel Human Body Model Trained Solely on Synthetic Data and Corresponding Dense Anthropometric Measurements

Chat with any AI model with one line of Python. Build chatbots, agents, and AI apps that just work. Auto retries, fallback, unified billing, and logging.

The open-source solution that helps SaaS owners track and optimize their AI costs.

Interact with the Paddle API using AI assistants like Claude, or in AI-powered IDEs like Cursor. Manage product catalog, billing and subscriptions, and reports.

Predicts which telecom customers are likely to churn with 95% accuracy using real-world data features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.

A full-featured multilingual Hospital Management System built with Laravel and Livewire. Covers patient, doctor, lab, ray, billing, and appointment management with advanced role-based control.

? AI-powered content generator built with Next.js, React, TypeScript, Drizzle ORM & Clerk! Features subscriptions, credit tracking, billing, and usage monitoring for seamless AI interactions. ?

Labs64.IO - Unified Payment Gateway Platform

Open-source AI usage metering for SaaS. Track tokens, calculate costs, manage quotas. TypeScript SDK supporting all major AI providers & runtimes.

This project addresses the challenge of predicting baseline energy usage in buildings for performance-based financing. Participants estimate what energy a building *would have used* without retrofits, enabling fair billing and encouraging investment in energy efficiency.