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A modular Python framework for end to end InSAR and time-series processing with GUI support.
Time-aware tibbles
AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance
Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.
Quantitative systematic trading strategy development and backtesting in Julia
Time series market data
Use Python like a spreadsheet!
Python interface to Brazilian Central Bank web services
Model-driven synthetic test data for CI/CD and analytics - deterministic, privacy-preserving, and domain-aware. Includes Python APIs, XML pipelines, and MCP/IDE integration to orchestrate realistic datasets for finance, healthcare, and other regulated environments.
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
Visualize classified time series data with interactive Sankey plots in Google Earth Engine
Time series implementation for the Julia language focused on efficiency and flexibility
R interface to Brazilian Central Bank web services
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Unified observability for logs, metrics and traces — low overhead instrumentation (Rust, Unreal Engine 5), OTLP ingestion, SQL analytics on DataFusion over Parquet, presentation through notebooks, Grafana and Python. Self-hosted.
Here, the most popular Electric Load Forecasting datasets are collected centrally. Feel free to support this work. 🔥
A modular single-molecule analysis interface
Automatic discovery of non-trivial statistical truths from 500+ public time series — mutual information, Granger causality, FDR correction
Real-time Prometheus exporter for Duplicacy backups with live speed, progress, and completion metrics
Distributional crypto-return forecasting via Wasserstein-geodesic extrapolation in quantile-function space. WGeo family wins 12/12 (asset × horizon) cells over 6.75y walk-forward CRPS vs GARCH and classical baselines. v0.4.