📈 A small, fast chart for time series, lines, areas, ohlc & bars
Technical Analysis Library using Pandas and Numpy
Bayesian Change-Point Detection and Time Series Decomposition
trend / momentum and other patterns in financial timeseries
A python package for non parametric Mann Kendall family of trend tests.
🎯 哔哩哔哩(bilibili)评论下载器兼数据可视化桌面软件- 支持单视频/批量下载、地区分布地图、词云分析、图片获取等功能的桌面应用。未来会做一个 youtube 评论区观察，欢迎⭐支持我~常见问题在最后
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.
Library for automated signal segmentation, trend classification and analysis.
Forecasting Monthly Sales of French Champagne - Perrin Freres
📈 A Python web app that analyzes popular trends of subreddits with data pulled from Reddit and news articles.
EMD(Empirical Mode decomposition) light weight library, C/C++ language
EBIC - AI-based parallel biclustering algorithm
MCP server for Naver Search API integration. Provides comprehensive search capabilities across Naver services (web, news, blog, shopping, etc) and data trend analysis tools via DataLab API.
A research project to crawl and analyze Top 1 million domains
Time Series Forecasting Methods — A collection of Python implementations for essential time series forecasting techniques, including Simple, Double, Triple Exponential Smoothing, and Moving Averages.
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
Intrinsic Time-Scale Decomposition
Superstore Sales with Streamlit is a data visualization and analysis project that uses the Streamlit framework to create an interactive web application for exploring and analyzing sales data from a superstore. This project aims to provide an easy-to-use interface for users to gain insights into sales trends, Sales performance, product performance,
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