Release 1.4.23

Installation

pip install --no-index --find-links="https://github.com/gingermike/pytemporal/releases/download/v1.4.23" pytemporal==1.4.23

Performance Documentation

📊 View Interactive Benchmark Reports

📦 Download Complete Benchmark Data: benchmarks-v1.4.23.zip (includes flamegraphs)

Linux Wheels Built

• x86_64 (Intel/AMD 64-bit) for Python 3.9, 3.10, 3.11, 3.12

Features

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

Performance Benchmarks

• 📈 Benchmark Dashboard - Historical trends
• 📊 Criterion Reports - Detailed analysis

Typical performance (v1.4.23):

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

Full Changelog: v1.4.22...v1.4.23