ScriptAI for Codev1.1

Temporal Feature Builder

by Community · open-source · Last verified 2026-03-17

Generates comprehensive temporal features from time-series data including rolling statistics, lag features, Fourier transforms, and calendar encodings using tsfresh and custom transformers. Handles irregular time series with forward-fill interpolation and produces a point-in-time-correct feature matrix to prevent leakage.

https://github.com/blue-yonder/tsfresh ↗

C+

C+—Average

Adoption: BQuality: AFreshness: ACitations: C+Engagement: F

Specifications

License: MIT
Pricing: open-source
Capabilities: rolling-statistics, lag-features, fourier-transforms, leakage-prevention
Integrations: tsfresh, pandas, scikit-learn, numpy
Use Cases: demand-forecasting, predictive-maintenance, financial-time-series
API Available: No
Language: python
Dependencies: tsfresh, pandas, scikit-learn, numpy, scipy
Environment: Python 3.10+
Est. Runtime: 5-30 minutes
Tags: temporal-features, time-series, rolling-windows, lag-features, tsfresh
Added: 2026-03-17
Completeness: 100%

Index Score

56.2

Adoption

Quality

Freshness

Citations

Engagement

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