trend

Technical Analysis Library using Pandas and Numpy

NeuralProphet: A simple forecasting package

🌈 Simple, elegant spark lines for Vue.js

A nginx log explorer

Covidify - corona virus report and dataset generator for python 📈 [no longer being updated]

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

📈 Simple, elegant spark lines for Angular

Simple and lightweight vue chart component without using chart library dependencies

Saveto. Quick for save link, collections, notes, snipping, ...

A Python tool to forecast Google Analytics data using several popular time series models.

Stock market forecasting using the ARIMA model.

Python package for sequence (e.g. trend line, sentence, image) clustering

Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"

node.js library for scraping GitHub trending repositories.

Get the trend of npm

Quantitative Analysis library in C#

Command line script and Python library to work with time-series data.

Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, an…

Trading indicators

Calculate the tendency, trend and weather predictions of barometric pressure