A python library for Bayesian time series modeling

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

Python trading bot using the Solana blockchain.

trends.earth - measure land change

Attempt to predict future stock prices based on Google Trends data.

Welcome to GPTNicheFinder, a powerful niche research tool powered by Google Trends data and OpenAI's GPT model. This application provides a streamlined approach to identify profitable niche markets by leveraging data-driven insights and cutting-edge artificial intelligence.

Fetch related searches for a given query from Google Trends, and for each related search, it retrieves the date it was most popular and its popularity score

Command-line Python scripts to do things with PyPI

Topic Mine leverages 1st and/or 2nd party data to identify trending topics and uses our GEMINI to create relevant ads' texts. It generates headlines, descriptions and keywords given a list of products, brands or services and (optionally) additional info about them.

Mastodon bot that boosts trending posts from other instances into your timeline

LSTM models on Keras. Predicting stock price trends of BIST100.

Store and report on Twitter conversations, from tweets to trending topics 🌍 🐦 🐍

Interface for Google Trends time series

Collections of python utilities for timeseries trends analysis

Source code visualisation tool. Provides insights on any repository, with an architecture view, coupling view, historic heat map and code complexity breakdown

Instant data plotting from the terminal into the terminal

Use RPI with Sensehat to monitor humidity, temperature, barometric pressure. View data and graphs on a web browser. Optionally Upload data to Weather Underground Personal Weather Station

A simple scientific paper based trend viewer using the number of results in Google Scholar.

A simple script to look at trends from RSS feeds, notably for academic feeds.