1232 Open source projects that are alternatives of or similar to tempo

If you can measure it, consider it predicted

Predict time-series with one line of code.

Timeseries database

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

Collection of several downsampling methods for time series visualisation purposes.

TSrepr: R package for time series representations

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

A python library for Bayesian time series modeling

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

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

data wrangling simplicity, complete audit transparency, and at speed

NetCDF-CF Geometry and Timeseries Tools for R: https://code.usgs.gov/water/ncdfgeom

Example projects, code, and documents for comparing Mathematica with R.

Training Diary

Deep learning meets molecular dynamics.

Time Series Ensemble Forecasting

A toolkit for working with time series in R

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.

A repository to compare the performance between the algorithms implemented in pyts and the performance reported in the literature

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

A Los Angeles Times analysis of Every shot in Kobe Bryant's NBA career

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

1st place solution

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

Stock Analysis Tutorial in Python

Repository for the projects needed to complete the Data Analyst Nanodegree.

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

ELKI Data Mining Toolkit

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

Collection of useful data science topics along with code and articles

Advanced and Fast Data Transformation in R

List of tools & datasets for anomaly detection on time-series data.

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

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

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

Fast data store for Pandas time-series data

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

A Multipurpose Library for Synthetic Time Series Generation in Python

Bringing financial analysis to the tidyverse

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.

Time-aware tibbles

High performance datastore for time series and tick data

A Python library for machine-learning and feedback loops on streaming data

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

Python driver for MarketStore

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

A machine learning toolkit dedicated to time-series data

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

Financial market technical analysis & indicators in Julia

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

An open-source library of algorithms to analyse time series in GPU and CPU.

Time series analysis in Java

Downsample plugin for Flot charts.

Implementation of time series compression method from the Facebook's Gorilla paper

Missing data visualization module for Python.

This library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)

Solution to Kaggle - Web Traffic Time Series Forecasting

Extending broom for time series forecasting

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

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.