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Release 1.3.5

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@github-actions github-actions released this 30 Aug 20:49
· 59 commits to master since this release

Installation

pip install --no-index --find-links="https://github.com/gingermike/pytemporal/releases/download/v1.3.5" pytemporal==1.3.5

Performance Documentation

📊 View Interactive Benchmark Reports

📦 Download Complete Benchmark Data: benchmarks-v1.3.5.zip (includes flamegraphs)

Features

  • High-performance bitemporal timeseries processing
  • Microsecond precision timestamps for audit trails
  • Conflation optimization for reduced storage
  • Adaptive parallelisation for large datasets

Benchmark Results (v1.3.5)

  • Small Dataset (5 records): ~30-35 µs
  • Medium Dataset (100 records): ~165-170 µs
  • Large Dataset (500k records): ~900-950 ms
  • Conflation Effectiveness: ~28 µs

Full Changelog: v1.3.4...v1.3.5