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PiecewiseLinearTimeSeriesApproximation

The premium Open Source alternative to MATLAB Time Series Toolbox

🎯 Best for:Engineers needing to compress or segment massive time-series datasets.
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What is PiecewiseLinearTimeSeriesApproximation?

An implementation of Daniel Lemire's algorithm for approximating time series data using piecewise linear segments. It provides a more efficient approach to data reduction and feature extraction than traditional PAA methods.

Tech Stack
C++Mathematics & Statistics

Why PiecewiseLinearTimeSeriesApproximation?

  • • High compression ratios
  • • Mathematically optimized segments
  • • Fast execution on large data

Limitations

  • • Highly specialized use case
  • • No graphical user interface
  • • Requires C++ integration knowledge
10/4/2025
Last Update
5
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Apache-2.0
License
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Competitor Cost
-$1,440
/ year (est. based on MATLAB Time Series Toolbox)
Self-Hosted
$0
/ year
Team Size10 Users
150+
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