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-2.0.2.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-2.0.2-py3-none-any.whl (5.0 MB view details)

Uploaded Python 3

File details

Details for the file tomwer-2.0.2.tar.gz.

File metadata

  • Download URL: tomwer-2.0.2.tar.gz
  • Upload date:
  • Size: 4.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for tomwer-2.0.2.tar.gz
Algorithm Hash digest
SHA256 783b5ff5a2167b797de3634254c311f56bb1c0f665bae50c3406115c80f3f0fe
MD5 12ff7ee19e6fc4770877c867e297041a
BLAKE2b-256 42b1fd65f7b6ba8a4fcbbd93b09898bd6ce1ced12dfbdd021bd21874e336abbe

See more details on using hashes here.

File details

Details for the file tomwer-2.0.2-py3-none-any.whl.

File metadata

  • Download URL: tomwer-2.0.2-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/3.11.14

File hashes

Hashes for tomwer-2.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 78b451a229764e65a963174c212c8067620b90ed340d40f4f8bb23d100ceea9e
MD5 95e8b32ef454f5430369a471582d89de
BLAKE2b-256 75a74f8eb765675d4eda9d4406d73d4fe155374b4a3133aba30b488a6c30e1db

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

2.0.2

Supported by

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