Trend Analysis Python Packages

ta

Technical Analysis Library using Pandas and Numpy

pymannkendall

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

rbeast

Bayesian Change-Point Detection and Time Series Decomposition

actuarialpy

Core actuarial analysis tools for Python: experience analysis, per-exposure metrics, trend, completion, seasonality, credibility, exposure, and TVM.

trend-classifier

Library for automated signal segmentation, trend classification and analysis.

git-repo-language-trends

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

scout-intel-mcp

The Google for AI agents — give Claude the power to research any company, analyze competitors, and track market trends. 6 tools, 5+ data sources, confidence-scored JSON. pip install scout-intel-mcp

tstrends

Advanced trend labelling for time series

insurance-trend

Loss cost trend analysis for UK personal lines insurance pricing

cloudinsight-extractor

A new package designed to analyze and extract structured insights from user-submitted summaries or descriptions related to cloud infrastructure topics. Given an input text about a specific subject lik

idea-extractor

idea-extractor extracts, categorizes, and scores high‑impact software ideas from forum discussions, outputting themes, feasibility and market impact.

yearly-insights-parser

A new package that analyzes user-provided text summaries of yearly breakdowns (e.g., financial reports, project post-mortems, or performance reviews) and extracts structured insights. It uses an LLM t

tensorfit

TensorFit is an open source package for curve fitting.

tseries-patterns

trend / momentum and other patterns in financial timeseries