787 Open source projects that are alternatives of or similar to Tibbletime

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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.

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

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

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

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

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

1st place solution

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

A machine learning toolkit dedicated to time-series data

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

Timeseries database

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

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

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

Downsample plugin for Flot charts.

Predict time-series with one line of code.

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

Financial market technical analysis & indicators in Julia

Stock Analysis Tutorial in Python

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Library of autoencoders for sequential data

Anomaly detection for streaming time series, featuring automated model selection.

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Real time code sharing web application

Python implementation of k-Shape

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A time picker for your React app.

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Open source framework for processing, monitoring, and alerting on time series data

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Gostradamus: Better DateTimes for Go 🕰️

Hurst exponent evaluation and R/S-analysis in Python

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)