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.
- Add saved pyIrena results (Unified Fit, Size Distribution, Modeling, Simple Fits, WAXS Peak Fit, Carbon fitting) from the same data selector as I(Q) data: measured data with fits and components, residuals, and size distributions, with units read from the files.
- 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-v3.md;
packages written by any Bernardyn release since the betas remain readable, and
settings written by newer releases are preserved when an older one resaves.
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
From PyPI (Python 3.10–3.13):
python -m pip install bernardyn
python -m pip install "bernardyn[mcp]" # optional: local MCP server for agents
bernardyn-doctor
bernardyn
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
To check the installed version, run bernardyn --version (also accepts
-version, --v, or -V), or use About Bernardyn in the app menu on macOS
or the Help menu on Windows/Linux. The version also appears in the status
bar. On Windows, where the bernardyn GUI launcher has no console, use
python -m bernardyn --version to print the version in a terminal.
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 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bernardyn-1.0.0.tar.gz | 166.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bernardyn-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 314.6 kB
Release files / bernardyn-1.0.0.tar.gz
| Download URL | bernardyn-1.0.0.tar.gz |
|---|---|
| Size | 166.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| 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 Oct 16, 2026.
Transparency logRelease files / bernardyn-1.0.0-py3-none-any.whl
| Download URL | bernardyn-1.0.0-py3-none-any.whl |
|---|---|
| Size | 147.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6e6e4f64058d8c83b97a996d9cd4d07956f3bbf4ec4aae2456bb1465fac49563
|
|
BLAKE2b-256 checksum How to use checksums |
ad0acb3bb75a28bf3aba2808333cbf674f8ae60a699f060a14a62353450fed10
|
| 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 Oct 16, 2026.
Transparency log