A time series is a sequence of data points collected or recorded over time. Time series data is used to analyze patterns, trends, seasonality, and changes in values across time. Developers and researchers use time series methods in areas such as forecasting, finance, weather analysis, monitoring, and machine learning.
📈 A small, fast chart for time series, lines, areas, ohlc & bars
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Chronos: Pretrained Models for Time Series Forecasting
Probabilistic time series modeling in Python
Time series forecasting with PyTorch
NeuralProphet: A simple forecasting package
extract internal monitoring data from application logs for collection in a timeseries database
Blazing-fast Data-Wrangling toolkit
Interactive visualizations of time series using JavaScript and the HTML canvas tag
The machine learning toolkit for time series analysis in Python
High performance datastore for time series and tick data
LinDB is a scalable, high performance, high availability distributed time series database.
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.
1st place solution
Fast scalable time series database
A cloud-native open source distributed time series database with high performance, high compression ratio and high availability.
⭐️ The Open-Source Polyglot Observability Warehouse: Light, Fast, Cloud Native, Drop-in Grafana LGTMP alternative 🚀 Indie All-in-One Opentelemetry, Loki, Prometheus, Tempo, Pyroscope On-Prem Alternative ⭐
Synthetic data generators for tabular and time-series data