#Timeseries-analysis
Showing 27 of 27 repositories tagged #timeseries-analysis, ranked by stars
Statsmodels: statistical modeling and econometrics in Python
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Apache HoraeDB (incubating) is a high-performance, distributed, cloud native time-series database.
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
GRASS - free and open-source geospatial processing engine
Official code for TimeCraft: A Time Series Generation Framework for Real-World Applications
Time series easier, faster, more fun. Pytimetk.
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
ChatTS: Chat with Your Time Series
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
trend / momentum and other patterns in financial timeseries
Public Fused UDFs. Build any scale workflows with the Fused Python SDK and Workbench webapp, and integrate them into your stack with the Fused Hosted API.
Template to quickstart streaming analytics using Apache Kafka for ingestion, QuestDB for time-series storage and analytics, Grafana for near real-time dashboards, and Jupyter Notebook for data science
golang library for computing matrix profiles along with other time series analysis features
Jupyter Notebooks Collection for Learning Time Series Models
A library for Time Series EDA (exploratory data analysis)
Python based Quant Finance Models, Tools and Algorithmic Decision Making
Squey is an open-source cross-platform visualization software designed to interactively explore and understand large amounts of tabular data (this is the read-only mirror of https://gitlab.com/squey/squey)
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data.
Developed ML/DL based a web application for stock price prediction based on real-time data.
Tools to analyze financial timeseries of single assets or portfolios. It is made for daily or less frequent data.
Meta service of HoraeDB cluster.
JP morgan virtual internship Quantitative Research
Apache HoraeDB (Incubating) Java Client.
Apache HoraeDB (Incubating) Rust Client.
Apache HoraeDB (Incubating) Python Client.