Data logger for Disco simulations
Project description
🧾 disco-data-logger
High-performance, C++/NumPy-backed data logger
for Disco discrete-event and Monte Carlo simulation programs.
Overview
disco-data-logger provides a fast, compressed, and lightweight data recording layer
for large-scale Disco simulations and other computational experiments.
It is optimized for capturing sparse numerical state updates and accumulators during simulation runs,
and writing them efficiently to disk as Zstandard-compressed segment files.
Each simulation entity or measurement can log its data independently through labeled streams.
It combines:
- A C++/pybind11 core for high-throughput buffering and compression.
- Python API for easy stream registration and control.
- Optional Parquet export for analysis and aggregation after runs.
✨ Features
- Sparse vector logging with index/value arrays (
uint32,float64). - Fixed-point quantization for compact and deterministic encoding.
- Buffered, lock-free write path (ring buffer + writer thread).
- Zstandard compression (vendored, no external dependencies).
- Segment rotation for large simulation outputs.
- JSON metadata for each stream (
organisation,model,experiment, …). - Optional Parquet export for post-run analytics.
- MIT-licensed and designed for in-cluster (on-disk/in-memory) use.
🚀 Installation
pip install disco-data-logger
For Parquet export support:
pip install "disco-data-logger[parquet]"
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