Complete, dependency-free Go client for the YNAB API — 44 operations, exact integer money, first-class delta sync, contract-tested. Unofficial.
- ynab
- ynab-api
- golang
- go
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Complete, dependency-free Go client for the YNAB API — 44 operations, exact integer money, first-class delta sync, contract-tested. Unofficial.
Flare is a lightweight, developer-friendly Swift framework that simplifies working with in-app purchases. It provides a clean, unified API over StoreKit and StoreKit 2, includes async/await-ready workflows, and offers built-in UI components for a seamless integration experience.
Research experiments exploring uncommon quant techniques.
A currency computations package.
Javascript SDK for trading on cryptocurrency exchanges like FTX, OKX, Bybit, and more. Supports API data feeds and WebSocket. Built by the Compendium Team.
MatchFlow is a full-stack invoice processing and purchase-order matching system—built on Clean Architecture with a React+Nginx front-end, a .NET 6 API back-end, Azure Form Recognizer OCR, Azure Blob Storage, and Docker Compose for one-command local setup.
MyFin Budget - Rest API for the personal finances platform that'll help you budget, keep track of your income/spending and forecast your financial future.
Elixir core library for connecting to bitpay.com
Wrappers around various Payment Processors
Mollie Payments API client for Crystal http://www.mollie.com
Algorand QR Code generator is a JavaScript module that outputs an standard QR code (exportable to SVG file and text) from a JSON object. It works in terminal, NodeJS and modern browsers. Complies to Algorand ABNF Grammar.
Common Lisp library for the Stripe API.
:arrow_forward: A .NET core library to handle the login to Backpack.tf. Backpack.tf is a trading site for Team Fortress 2, Counter-Strike: Global Offensive, and Dota 2. Community item pricing, item trading and stats, and much more.
A comprehensive, zero-dependency Go SDK for the Paystack API
Any API becomes a Lightning toll booth in one line. L402 middleware for Express, Hono, Deno, Bun, and Workers.
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.