1012 Open source projects that are alternatives of or similar to Sweep

A toolkit for working with time series in R

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

Time Series Ensemble Forecasting

RNN based Time-series Anomaly detector model implemented in Pytorch.

Bringing financial analysis to the tidyverse

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Predict time-series with one line of code.

Library which contains several time-dependent data and index structures (e.g., IntervalTree, BucketTimeSeries), as well as algorithms.

Time-aware tibbles

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Scalable machine 🤖 learning for time series forecasting.

Python port of R's Comprehensive Dynamic Time Warp algorithms package

Stock Analysis Tutorial in Python

A smart, good-looking little app which tries to speak your language the way you are used to.

Technical Analysis Library Time-Series

Simple stock & cryptocurrency price forecasting console application, using PHP Machine Learning library (https://github.com/php-ai/php-ml)

Financial market technical analysis & indicators in Julia

Model data as beliefs (at a certain time) about events (at a certain time).

GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS (Learning Lab 53). Event sponsors: Saturn Cloud, NVIDIA, & Business Science.

Calculates the Hurst exponent of a time series based on Rescaled range (R/S) analysis.

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

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📈 high level wrapper for parallel univariate time series forecasting 📉

A machine learning toolkit dedicated to time-series data

SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy analysis over large amounts of time series.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

An integrated framework in R for textual sentiment time series aggregation and prediction

R Interface for InfluxDB

Time Series Forecasting Best Practices & Examples

Solution to Kaggle - Web Traffic Time Series Forecasting

1st place solution

If you can measure it, consider it predicted

A friendly package for Kepler & TESS time series analysis in Python.

📈 A small, fast chart for time series, lines, areas, ohlc & bars

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

This package includes basic tools for time series analysis, compatible with incomplete data.

An Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.

Collection of several downsampling methods for time series visualisation purposes.

ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting in the browser and Node.js

天池“资金流入流出预测——挑战baseline”的解决方案，线上效果143.5

Lightweight, functional and correct time-series library for scala. Easy manipulation, filtering and combination of time-series data.

Using Kalman Filter to Predict Corona Virus Spread

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

Modeltime unlocks time series forecast models and machine learning in one framework

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

A python library for Bayesian time series modeling

Timeseries database

List of papers, code and experiments using deep learning for time series forecasting

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Anything can happen in the next half hour (including spectral timing made easy)!

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

Durable time-series database that's API-compatible with Prometheus.

Java implementation of Seasonal-Trend-Loess time-series decomposition algorithm.

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

Downsample plugin for Flot charts.

Singular Spectrum Analysis methods implementation in Python

Time series based anomaly detector

GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.

A python library for time-series smoothing and outlier detection in a vectorized way.