zia#

A benchmarking framework for evaluating compression algorithms on numeric array datasets, with a focus on scientific data.

Latest benchmark results: https://magland.github.io/zia/

Overview#

Zia is a comprehensive benchmarking framework for evaluating compression algorithms on numeric array datasets. The system follows an automated workflow:

1. Defining Components

   • Algorithms are implemented in zia_benchmark/src/zia_benchmark/algorithms/
   • Datasets are defined in zia_benchmark/src/zia_benchmark/datasets/
   • Each component specifies metadata like version, tags, and compatibility requirements

2. Automated Benchmarking

   • Benchmarks run automatically via GitHub Actions on pushes to main branch
   • For each compatible algorithm-dataset pair, measures:
     • Compression ratio
     • Encoding throughput (MB/s)
     • Decoding throughput (MB/s)
   • Results are verified by decompressing and comparing with original data

3. Result Storage

   • Results are committed to a dedicated benchmark-results branch
   • Local and remote caching system prevents redundant rerunning of benchmarks (only modified or added components are re-benchmarked)
   • Caching is based on algorithm and dataset versions

4. Web Interface

   • Interactive visualization at https://magland.github.io/zia/
   • Filter and sort results by dataset or algorithm
   • Visual charts for comparing performance metrics
   • Export results to CSV for further analysis

For developers#

The project consists of two main components:

• zia_benchmark/: Python package containing the core benchmarking framework, algorithms, and datasets
• web-ui/: React-based web interface for visualizing benchmark results

Local Development Setup#

1. Install Python dependencies:

cd zia_benchmark
pip install -e .

zia-benchmark --help
zia-benchmark list
zia-benchmark run --help

2. Install web UI dependencies:

cd web-ui
npm install

3. Run web UI locally:

cd web-ui
npm run dev

Code Formatting#

This project uses pre-commit hooks to automatically format code before each commit. The formatting includes:

• Python code formatting using black
• TypeScript/JavaScript code formatting using npm scripts

To set up the pre-commit hooks after cloning the repository:

1. Install pre-commit:

pip install pre-commit

2. Install the git hook scripts:

pre-commit install

After this setup, code will be automatically formatted when you make a commit.