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0.0.7

PyPI

abismal

Stochastic merging for diffraction data.

Published11 Dec 2025

Direct dependencies11

Transitive dependenciesNot calculated

README

Version 0.0.7 documentation

abismal

Approximate Bayesian Inference for Scaling and Merging at Advanced Lightsources

Scaling and merging for large diffraction datasets using stochastic variational inference and deep learning.

This project is under development.

Installation

First create a conda env with dials,

conda create -yn abismal -c conda-forge dials
conda activate abismal

Next install abismal. For the CPU version, run

pip install --upgrade pip
pip install abismal

For NVIDIA CUDA support, we recommend you use the anaconda python distribution. The following will create a new conda environment and install abismal:

pip install --upgrade pip
pip install abismal[cuda]

You can now use abismal with GPU acceleration by running conda activate abismal. You can test GPU support by typing abismal --list-devices.

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Declared dependencies 12

Native requirements

11 direct targetsNot calculated transitive count

Package / target	Requirement	Relationship
reciprocalspaceship Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`reciprocalspaceship>=0.9.16`	runtime
tqdm Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`tqdm`	runtime
tensorflow-probability Environment { "extras": "tf", "marker": null, "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`tensorflow-probability[tf]==0.25`	runtime
tensorflow Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`tensorflow==2.18.0`	runtime
matplotlib Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`matplotlib`	runtime
seaborn Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`seaborn`	runtime
rs-booster Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`rs-booster`	runtime
ray Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`ray`	runtime
pytest Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`pytest; extra == "dev"`	runtime
pytest-cov Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`pytest-cov; extra == "dev"`	runtime
pytest-xdist Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`pytest-xdist; extra == "dev"`	runtime
tensorflow Environment { "extras": "and-cuda", "marker": "extra == \"cuda\"", "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`tensorflow[and-cuda]==2.18.0; extra == "cuda"`	runtime