mbirjax

Model-Based Iterative Reconstruction (MBIR) for tomographic reconstruction that is based on the JAX library. Full documentation is available at https://mbirjax.readthedocs.io .

Installing from PyPI

For CPU only:

pip install mbirjax

For CPU with a CUDA12-enabled GPU:

pip install --upgrade mbirjax[cuda12]

Installing from Source

Clone the repository:

git clone git@github.com:cabouman/mbirjax.git

Install the conda environment and package
1. Option 1: Clean install using dev_scripts - We provide bash scripts that will do a clean install of MBIRJAX in a new conda environment using the commands:
```
cd dev_scripts
source clean_install_all.sh
```
2. Option 2: Manual install - You can also manually install MBIRJAX from the main directory of the repository with the following commands:
```
conda create --name mbirjax python=3.10
conda activate mbirjax
pip install -r requirements.txt
pip install .
```

Optional Pixi Development Environment

For contributors who use Pixi, MBIRJAX also provides an optional reproducible development environment. This does not replace the conda installation workflow above.

For the default CPU environment on Linux or Apple Silicon macOS:

pixi run smoke
pixi run test-fast

For a CUDA-enabled Linux system:

pixi run -e cuda smoke-jax
pixi run -e cuda test-fast

Additional useful tasks include:

pixi run test
pixi run test-data
pixi run docs

Running Demo(s)

Run any of the available demo scripts with something like the following:

python demo/<demo_file>.py

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mbirjax-0.7.1.tar.gz (560.4 kB view details)

Uploaded Jul 24, 2026 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

mbirjax-0.7.1-py3-none-any.whl (533.3 kB view details)

Uploaded Jul 24, 2026 Python 3

File details

Details for the file mbirjax-0.7.1.tar.gz.

File metadata

Download URL: mbirjax-0.7.1.tar.gz
Upload date: Jul 24, 2026
Size: 560.4 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for mbirjax-0.7.1.tar.gz
Algorithm	Hash digest
SHA256	`fdd576f634f5b13aca091adcbb324d7a34ee95b90c3f52d017850d1d5d7f6c8e`
MD5	`2bc9ea4d5a6c63ddec50e758d661248f`
BLAKE2b-256	`aff6b3dc50540524bac952efc4e204ed659d3d6ebde522c635a36ce09f47676e`

See more details on using hashes here.

File details

Details for the file mbirjax-0.7.1-py3-none-any.whl.

File metadata

Download URL: mbirjax-0.7.1-py3-none-any.whl
Upload date: Jul 24, 2026
Size: 533.3 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for mbirjax-0.7.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`1a8c17b5a58b4891d37f933c61457a3408ab51f90ff01dc4e64a7eed97981b28`
MD5	`46408352eaac5cf1f24af5239dbfae83`
BLAKE2b-256	`faeef589ca95cc5d2dade268eebb4f360d8ea098cce20c983e412cefd43f354c`