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A python package for non parametric Mann Kendall family of trend tests.

Polymarket AI market suggestor that blends real-time news, social sentiment, and on-chain trends to propose new prediction markets with LLM reasoning, analytics, and CLI tooling.

This script searches messages containing specified search terms in Telegram channels the user is a member of.

Python library to Fetch & Analyze Stock Market data.

📰 Python Google News scraper for headlines, summaries & sources. Media monitoring, trend analysis with proxy rotation & automated CSV export.

A research project to crawl and analyze Top 1 million domains

Advanced trend detection and labelling for time series with Python

CryptoKon with its advanced analysis tools, provides a deep understanding of the trends and movements within specific crypto projects, empowering you to make informed investment decisions. Say hello to a streamlined, user-friendly platform that puts the power of crypto analysis

A research-grade framework for forecasting tokenomic gene evolution across market cycles. Analyzes historical gene frequencies, models behavioral drift, and predicts future gene expression using interpretable trend and moving-average forecasting. Designed for tokenomics research, risk analysis, and evolutionary cryptoeconomics.

A Comprehensive Crypto Market Monitor & Alert System

Extension of LLM Advisory for Backtrader strategies, enabling real-time trading insights from multiple LLM-based advisors directly within strategy execution.

Trend Devourer 👗✨ AI-Powered Visual Style Analyst

Detect trends and changes in vegetation using remote sensing time series data.

Toolkit created to do extraction, gap-filling and trend analysis over Sentinel 2 time-series from Earth Engine

Analyze programming language usage over time in a git repository and produce a graphical or textual representation of the result.

Analysis-ready dataset: global YouTube Shorts & TikTok trends (2025) with multi-file package (raw + ML-ready + rollups + dictionary), standardized schemas, and deduplicated IDs.

Full-stack data analytics with API integrations, sentiment and trend analysis & real-time dashboards aggregating social media data (X, FB, Inst, Discord, Medium, Reddit, YT, TT) for marketing insights

Open framework for building empathetic digital consciousness. Features emotion-driven perception, associative memory, and narrative identity formation. Based on year-long research in human-AI co-evolution.

Scout-Edge is a lightweight, extensible toolkit for real-time trend tracking across multiple data sources