Skip to main content
Tomwer Logo

Introduction

Tomwer provides tools to automate acquisition and reconstruction processes for tomography. The package includes:

  • A library to individually access each acquisition process.

  • Graphical User Interface (GUI) applications to control key processes such as reconstruction and data transfer, which can be executed as standalone applications.

  • An Orange add-on to help users define custom workflows (Orange3).

Tomwer relies on Nabu for tomographic reconstruction.

Note: Currently, the software is only compatible with Linux.

Documentation

The documentation is available here:

Stable Version

Latest Version

Installation

To install Tomwer with all features:

pip install tomwer[full]

Alternatively, you can install the latest development branch from the repository:

pip install git+https://gitlab.esrf.fr/tomotools/tomwer/#egg=tomwer[full]

Launching Applications

After installation, Tomwer includes several applications. You can launch an application by running:

tomwer <appName> [options]
  • If you run tomwer without arguments, a manual page will be displayed.

  • For application-specific help, run:

tomwer <appName> --help

Tomwer Canvas - Orange Canvas

You can launch the Orange canvas to create workflows using the available building blocks:

tomwer canvas
  • Alternatively, you can use orange-canvas.

  • If you’re using a virtual environment, remember to activate it:

source myvirtualenv/bin/activate

Building Documentation

To build the documentation:

sphinx-build doc build/html

The documentation will be generated in doc/build/html, and the entry point is index.html. To view the documentation in a browser:

firefox build/html/index.html

Note: Building the documentation requires sphinx to be installed, which is not a hard dependency of Tomwer. If needed, install it separately.

Download files

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

Source Distribution

tomwer-2.0.3.tar.gz (4.6 MB view details)

Uploaded Source

Built Distribution

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

tomwer-2.0.3-py3-none-any.whl (5.0 MB view details)

Uploaded Python 3

File details

Details for the file tomwer-2.0.3.tar.gz.

File metadata

  • Download URL: tomwer-2.0.3.tar.gz
  • Upload date:
  • Size: 4.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for tomwer-2.0.3.tar.gz
Algorithm Hash digest
SHA256 9fb6c73e2ccda22236e989ec442cc3868d3ee3fbf3424fe1fd45ecfa10f55ef5
MD5 41d00748b288ecb440b0cde6b62d52bc
BLAKE2b-256 feb59260c40b76a9b983df3a4b51bb7143da99e9cbfbb9ac06688ec302177cb5

See more details on using hashes here.

File details

Details for the file tomwer-2.0.3-py3-none-any.whl.

File metadata

  • Download URL: tomwer-2.0.3-py3-none-any.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for tomwer-2.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 f042b0cc30f5dc6cb2e8948505e23d1a1cf9b963ac108be0c9a440835dc7ee86
MD5 9037df0b8949606bc6afcd32b9ee17bd
BLAKE2b-256 ae90d8dfc5528fa44f0e931213c5de32be22e7b6efc92e03049fabb4bf3d6b0b

See more details on using hashes here.

Release history Release notifications | RSS feed

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page