Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

Bernardyn

Bernardyn is a PySide6/PyQtGraph workbench for publication-oriented plotting of small-angle scattering and diffraction curves. It keeps scientific arrays out of widgets and stores complete, source-independent graphs in portable HDF5 packages.

Current capabilities

  • Browse all discoverable NXcanSAS/simple-HDF5 entries and 2–4 column text data.
  • Keep a workspace-wide dataset catalog and independent graph tabs.
  • Plot General I(Q), Guinier, rod/sheet Guinier, Kratky, dimensionless Kratky, Porod, modified Porod, Zimm, and Debye–Bueche views.
  • Style each curve, errors, labels, axes, legends, typography, and annotations.
  • Render 3D line waterfalls and common-grid surfaces with an isolated, lazily-loaded PyQtGraph OpenGL backend and 2D fallback.
  • Save one graph or a deduplicated multi-graph workspace as *.bernardyn.h5, including canonical data, resolved snapshots, configuration, checksums, previews, and 3D renderer data.
  • Export PNG/JPEG/SVG, CSV, Igor ITX, and canonical data through PyIrena's H5XP writer. H5XP export is data interoperability, not Bernardyn graph persistence.

The native schema is documented in bernardyn/schemas/graph-package-v2.md. User-facing workflow and file-format documentation is in docs/. Scripts and automation can use the typed Python facade or bernardyn-plot CLI; see headless recipes. Local MCP-capable agents can use the five-tool bernardyn-mcp server for the same recipe workflow.

User-visible changes are recorded in changelog.md.

Install and run

Bernardyn targets Python 3.10–3.13 and shares its Qt plotting dependencies with PyIrena. For development, keep the Bernardyn and pyirena repositories next to each other and create the pinned Conda environment from the Bernardyn root:

conda env create -f environment.yml
conda activate bernardyn
bernardyn-doctor
bernardyn

The environment file installs both repositories in editable mode. If an older bernardyn environment already exists with Python 3.14, remove and recreate it:

conda deactivate
conda env remove -n bernardyn
conda env create -f environment.yml
conda activate bernardyn

For an already compatible Python 3.10–3.13 environment, installation can also be performed manually:

python -m pip install -e "../pyirena[qtplot]"
python -m pip install -e ".[dev]"
bernardyn

To diagnose an installation:

bernardyn-doctor
bernardyn-doctor --json

If an existing environment reports that the PyIrena shared API is missing with No module named 'six', repair that older environment with python -m pip install six. New Bernardyn installations install this compatibility dependency automatically.

The OpenGL renderer needs a usable graphics context. Before enabling a 3D renderer, Bernardyn checks that Qt can create the required OpenGL/GLX widget in a separate process. If that check fails (for example on a remote or headless X session), Bernardyn stays running, displays a 2D offset-waterfall fallback, and retains the 3D document configuration. bernardyn-doctor also reports whether the actual 3D context is ready.

Development

pytest
ruff check bernardyn tests
python -m build
twine check dist/*

Extension entry points are bernardyn.sources, bernardyn.transforms, and bernardyn.renderers; see bernardyn/EXTENDING.md.

Scope

Version 1.0 is a plotting and presentation application. Model fitting, reduction, destructive source modification, movies, and calibrated 2D detector workflows are intentionally outside 1.0. Existing experimental 0.1 containers are not treated as compatible graph packages.

Bernardyn is distributed under the MIT License.

Metadata

Release files for bernardyn 0.0.1b6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for bernardyn 0.0.1b6
File Size Uploaded
bernardyn-0.0.1b6.tar.gz 129.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for bernardyn 0.0.1b6
File Interpreter ABI Platform
bernardyn-0.0.1b6-py3-none-any.whl Python 3 none any Details

Total release size: 251.4 kB

Release files / bernardyn-0.0.1b6.tar.gz

Download URL bernardyn-0.0.1b6.tar.gz
Size 129.3 kB
Tags Source
SHA-256 checksum
How to use checksums
3f275c00166583f709b4686126b12cac0ca48bb6239aebf7be141638fa647702
BLAKE2b-256 checksum
How to use checksums
935e07e42492de6a3a9881f551c00bece0cedce46f959edda06d973bbad19972
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 21, 2026.

Transparency log

Release files / bernardyn-0.0.1b6-py3-none-any.whl

Download URL bernardyn-0.0.1b6-py3-none-any.whl
Size 122.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
bc1beb83f177c39de8d5074be8ae1fb6f901eee7f43331db74bb731d5db7d47f
BLAKE2b-256 checksum
How to use checksums
32316c05f7130ac029686351f32509011aea13d4832e8c77ea1d2bec6f3100f2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 21, 2026.

Transparency log
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page