Statsmodels: statistical modeling and econometrics in Python
π A small, fast chart for time series, lines, areas, ohlc & bars
Apache IoTDB
Chronos: Pretrained Models for Time Series Forecasting
Probabilistic time series modeling in Python
Time series forecasting with PyTorch
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
NeuralProphet: A simple forecasting package
Blazing-fast, Neuro-symbolic Data-Wrangling toolkit
The machine learning toolkit for time series analysis in Python
βοΈ The Open-Source Polyglot Observability Warehouse: Light, Fast, Cloud Native, Drop-in Grafana LGTMP alternative :rocket: Indie All-in-One Opentelemetry, Loki, Prometheus, Tempo, Pyroscope On-Prem Alternative :star:
Interactively explore unstructured datasets from your dataframe.
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
GRASS - free and open-source geospatial processing engine
Official code for TimeCraft: A Time Series Generation Framework for Real-World Applications
Performance Co-Pilot
Time Series data structure for Redis
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
Time series easier, faster, more fun. Pytimetk.
Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
Bringing financial analysis to the tidyverse
Golang implementation of Graphite/Carbon server with classic architecture: Agent -> Cache -> Persister
InfluxDB 2.0 python client
Probabilistic Hierarchical forecasting π with statistical and econometric methods.
High-quality pro audio resampler / sample rate conversion header-only C++ library. Very fast, for both audio resampling and time-series interpolation.
Intuitive Data Workflows
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
Real-time anomaly detection for time series metrics. 11 years of production anomaly detection evolution. Multi-algorithm ensembles. Pattern recognition using semi-supervised and unsupervised learning. Correlation analysis. Learns and gets better over time. No GPU required, can run on a VPS.
A friendly package for Kepler & TESS time series analysis in Python.
A map of modern time-series forecasting architectures, each with a short README and runnable code.
Yug: a foundation model for zero-shot probabilistic time-series forecasting
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