An event-driven library to manage and simulate Web Monetization.
- monetization
- web-monetization
- event-driven
- simulation
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An event-driven library to manage and simulate Web Monetization.
A scriptable Widget showing your personal Crypto-Balances
Wisp CLI — Interactive trading platform for backtesting and live trading across spot, perpetual futures, options, and prediction markets
Capacitor plugin to trigger native payment for iOS(Apple pay) and Android(Google Pay)
👛 Tools for managing a vanity Web Monetization wallet
Floating window for Crypto curriency rates
Crypto trading arbitrage bot
Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents
JS widget for accepting crypto payments on your website
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
Wallet info for your favourite Dotsama cryptocurrencies like Polkadot (DOT), Kusama (KSM), Moonbeam (GLMR), Astar (ASTR), Acala (ACA), Subsocial (SUB), and other Substrate chains in the ecosystem.
📈 GDAX REST and WebSocket API wrapper to trade blockchain cryptocurrencies like bitcoin, Litecoin and Ethereum.
The PayPal Server SDK provides integration access to the PayPal REST APIs.
A Scriptable widget that shows the current bitcoin course in US-Dollar based on coinbase
: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.
Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.
Go library for the crypto NOWPayments API
A simple, self-custodial solution for accepting private, on-chain Bitcoin payments using XPUBs and serverless functions.
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Any API becomes a Lightning toll booth in one line. L402 middleware for Express, Hono, Deno, Bun, and Workers.
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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.
Just a simple myanmar exchange rate checker and caculator based on Central Bank of Myanmar API with elixir