pytest-park

Organise and analyse your pytest benchmarks

Features

• Inline benchmark comparison printed directly in pytest output — no extra commands needed.
• Load pytest-benchmark JSON artifact folders and normalize runs, groups, marks, params, and custom grouping metadata.
• Compare reference runs against candidate runs with per-case and per-group delta and speedup summaries.
• Flexible grouping: custom keys, benchmark groups, marks, params, and postfix-based name normalization.
• Associate optional profiler artifacts with benchmark runs for code-level context.
• Serve an interactive local NiceGUI dashboard for historical exploration.

Installation

With pip:

python -m pip install pytest-park

With uv:

uv add --group test pytest-park

Usage

Step 1 — Run your tests

pytest

After the normal pytest-benchmark tables, a pytest-park summary section is printed automatically. It compares the current run against the latest saved benchmark artifact found in pytest-benchmark storage. No extra arguments are needed.

The plugin is registered automatically via the pytest11 entry point when pytest-park is installed — no conftest.py changes are required.

Step 2 — Save runs to build a history (optional)

# Save and keep comparing against the latest saved run automatically
pytest --benchmark-autosave

# Save with a meaningful name for a stable reference point
pytest --benchmark-save baseline

# Compare against a specific saved run
pytest --benchmark-compare=0001
pytest --benchmark-compare=8d530304

# Save a candidate and compare it against a specific baseline
pytest --benchmark-save candidate-v2 --benchmark-compare=0001

pytest-park reuses the baseline that pytest-benchmark resolves from its configured storage — it does not require a second format. --benchmark-storage is respected as usual.

VS Code Test Explorer: if the run looks like a single-shot execution (benchmark timing disabled or reduced), pytest-park prints a warning so the output is not mistaken for a real comparison.

Name normalization and grouping (optional)

If your benchmark names encode variant postfixes (e.g. test_func_orig, test_func_ref, test_func_np, test_func_pt), add the pytest_benchmark_group_stats hook to group and label variants together:

# tests/conftest.py
from pytest_park.pytest_benchmark import default_pytest_benchmark_group_stats


def pytest_benchmark_group_stats(config, benchmarks, group_by):
    return default_pytest_benchmark_group_stats(
        config,
        benchmarks,
        group_by,
        original_postfix="_orig",      # or a list: ["_np", "_numpy"]
        reference_postfix="_ref",       # or a list: ["_pt", "_torch"]
        group_values_by_postfix={
            "orig": "original",         # leading underscores are stripped for matching
            "ref": "reference",
        },
    )

This stores parsed parts in extra_info["pytest_park_name_parts"] (base_name, parameters, postfix) and groups paired variants under the same row in the comparison table.

Multiple postfixes can be specified as a list or comma-separated string. Postfix matching is underscore-agnostic: "_original", "original", and "__original" all match the same postfix.

CLI postfix options

pytest-park registers --benchmark-original-postfix and --benchmark-reference-postfix automatically. These accept comma-separated values and override any postfixes passed directly to default_pytest_benchmark_group_stats:

# Single postfix
pytest --benchmark-original-postfix="_original" --benchmark-reference-postfix="_new"

# Multiple postfixes (comma-separated)
pytest --benchmark-original-postfix="_np,_numpy" --benchmark-reference-postfix="_pt,_torch"

When postfixes are configured, three output sections are produced:

1. Regression table — flat per-method comparison of the current run vs the previous saved run (requires a reference benchmark file).
2. Postfix comparison table — compares original-postfix methods vs reference-postfix methods within the current run (no saved reference needed).
3. Grouped comparison table — the existing detailed comparison with grouping.

Debug information (file names, postfixes, options) is always printed in the pytest-park section.

Postfixes can also be set persistently in pyproject.toml, pytest.ini, or setup.cfg so you don't have to pass them on every run:

# pyproject.toml
[tool.pytest.ini_options]
benchmark_original_postfix = "_orig,_numpy"
benchmark_reference_postfix = "_ref,_torch"

CLI flags always override ini-file values.

Custom grouping metadata (optional)

Store arbitrary metadata on a benchmark for richer grouping:

def test_compute_optimized(benchmark):
    benchmark.extra_info["custom_groups"] = {
        "technique": "vectorization",
        "scenario": "large-batch",
    }
    benchmark(compute)

Group by any key with --group-by custom:technique in the CLI.

CLI — deeper analysis across saved artifacts

Use the CLI when you want to compare specific saved runs, apply advanced grouping, or include profiler data.

# Compare latest run (candidate) against second-latest run (reference)
pytest-park analyze ./.benchmarks

# Compare named runs
pytest-park analyze ./.benchmarks --reference baseline --candidate candidate-v2

# When only --candidate is given, the preceding run is used as reference
pytest-park analyze ./.benchmarks --candidate candidate-v2

# Group by benchmark group and a specific parameter
pytest-park analyze ./.benchmarks --group-by group --group-by param:device

# Group by custom metadata key
pytest-park analyze ./.benchmarks --group-by custom:scenario

# Exclude a parameter from comparison
pytest-park analyze ./.benchmarks --exclude-param device

# Keep a parameter as a separate dimension
pytest-park analyze ./.benchmarks --group-by group --distinct-param device

# Normalize method names by stripping postfixes
pytest-park analyze ./.benchmarks --original-postfix _orig --reference-postfix _ref

# Include profiler artifacts
pytest-park analyze ./.benchmarks --profiler-folder ./.profiler --group-by group

# Print installed version
pytest-park version

Grouping reference

Default precedence (when no --group-by is given): custom > benchmark_group > marks > params

Multiple --group-by tokens can be combined; the resulting label is joined with |.

Artifact folder expectations

• Input files are pytest-benchmark JSON files (--benchmark-save output) stored anywhere under the folder.
• Default comparison: latest run as candidate, second-latest as reference.
• When only --candidate is given, the run immediately preceding it is used as reference.
• Run identity uses metadata.run_id, metadata.tag, or fallback datetime identifiers.

Interactive dashboard

For exploratory, visual analysis across many saved runs:

pytest-park serve ./.benchmarks --reference baseline --host 127.0.0.1 --port 8080

# With profiler data
pytest-park serve ./.benchmarks --profiler-folder ./.profiler --port 8080

Access the dashboard at http://127.0.0.1:8080. Features include run selection, history charts, delta distribution, and method-level drill-down.

To launch a guided interactive CLI session instead:

pytest-park

Docs

uv run mkdocs build -f ./mkdocs.yml -d ./_build/

Update template

copier update --trust -A --vcs-ref=HEAD

Credits

This project was generated with