OpenStock is an open-source alternative to expensive market platforms. Track real-time prices, set personalized alerts, and explore detailed company insights — built openly, for everyone, forever free.

Track stocks, crypto, and derivatives prices and positions in real time from your terminal

The open source repository for Electricity Maps data parsers that powers the world's most comprehensive electricity data platform

The process of extracting product data from Amazon using Python, including titles, ratings, prices, images, and descriptions.

A code for extracting best-selling items, search results, and currently available deals from Amazon using Python and Oxylabs E-Commerce Scraper API.

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

Collection of reusable AI agent skills for Claude Code and Codex, installable via bunx.

Retrieve market prices, histories, fundamentals, options, and news through Yahoo Finance endpoints for research workflows.

Price tracker monitors of products and alerts you when prices drop. Supported tiki.vn, shopee, lotte.vn, ... Built with firebase https://pricetrack.web.app

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

A self-hosted price tracking application that monitors product prices from any website.

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall