ember-qc-analysis 0.9.0

Post-benchmark analysis, plots, and statistics for ember-qc results

ember-qc-analysis

Post-benchmark analysis for EMBER. Processes completed ember-qc benchmark batches and produces plots, tables, and statistical tests.

No quantum dependencies — install on any machine.

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Installation

pip install ember-qc-analysis

Or together with the benchmark runner:

pip install ember-qc[analysis]

Requires Python 3.10+.

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Quick Start

Stage a batch and generate a full report:

ember-analysis stage results/my_benchmark_2026-03-28
ember-analysis report

Or run analysis automatically after a benchmark:

ember run experiment.yaml --analyze

Outputs are written to <batch_dir>/analysis/:

analysis/
├── plots/
│   ├── distributions/    — chain length KDE, violin plots, consistency
│   ├── scaling/          — performance vs. problem size
│   ├── pairwise/         — win-rate heatmap, head-to-head scatter, Pareto
│   ├── success/          — success rate by category, nodes, density
│   ├── graph-indexed/    — metrics indexed by graph properties
│   └── topology/         — performance by hardware topology
├── tables/
│   ├── overall_summary.csv/.tex
│   ├── summary_by_category.csv/.tex
│   └── rank_table.csv/.tex
└── stats/
    ├── win_rate_matrix.csv
    ├── significance_tests.csv
    ├── friedman_test.json
    └── correlation_matrix.csv

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CLI Reference

Both ember-analysis and ember-a invoke the same entry point.

ember-analysis stage <batch_dir>            Set the active batch
ember-analysis unstage                      Clear the active batch
ember-analysis report [-o PATH] [-f FMT]    Run the full analysis pipeline
ember-analysis plots [GROUP...] [-f FMT]    Generate specific plot groups
ember-analysis tables [-o PATH]             Generate summary tables
ember-analysis stats [-o PATH]              Run statistical tests
ember-analysis batches list                 List available batches
ember-analysis config show/set/get/reset    Manage configuration
ember-analysis version                      Show package version

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Python API

from ember_qc_analysis import BenchmarkAnalysis

an = BenchmarkAnalysis("results/my_batch")

# Tables
summary = an.overall_summary()          # one row per algorithm
by_cat  = an.summary_by_category()      # algorithm × graph category
ranks   = an.rank_table()               # mean rank per algorithm

# Statistics
win_matrix = an.win_rate_matrix()       # N×N pairwise win rates
sig_tests  = an.significance_tests()    # Wilcoxon + Holm-Bonferroni
friedman   = an.friedman_test()         # non-parametric multi-algorithm ANOVA
corr       = an.correlation_matrix()    # Spearman: graph properties vs. metrics

# Full report
an.generate_report(
    output_root="~/analysis",
    overwrite=True,
    fig_format="pdf",
)

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Configuration

ember-analysis config set input_dir ~/results       # directory containing batch subdirectories
ember-analysis config set output_dir ~/analysis     # override default output location
ember-analysis config set fig_format pdf            # default figure format (png/pdf/svg)
ember-analysis config show                          # all settings

Environment variables: EMBER_ANALYSIS_INPUT_DIR, EMBER_ANALYSIS_OUTPUT_DIR, EMBER_ANALYSIS_FIG_FORMAT.

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Documentation

• Getting Started
• CLI Reference
• Analysis Outputs — every plot and table explained

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License

MIT