Skip to main content

An editor and simulator for industry workflow nets (inets), a model of interorganisational workflows based on petrinets

Project description

# in-toolset

in-toolset is an editor and (basic) simulator for industry workflow nets (inets), a model of interorganisational workflows based on petrinets.

Currently, the tool supports editing and manually simulating these industry workflows, and exporting industry nets as PNML petri nets, but support for checking for bisimilarity using LTSmin and for automatically generating a subset of the language of triggering sequences of an inet in XES is planned, as is a model of “domains” for organisations and messages.

in-toolset has cross-platform support and has been verified to work on linux, MacOS, and windows. It should work on most systems with python3.6 or newer and pyqt5. The recommended way to install it is to run pip install in-toolset, this makes a command-line tool in-toolset available which starts the graphical editor.

The toolset was originally created by: Daniel Otten, Jakob Wuhrer, Julia Bolt, Ricardo Schaaf, and Yannik Marchand, on behalf of Pieter Kwantes of Leiden University.

It is provided here licensed under the GNU General Public License v3.0.

Documentation can be found at https://in-toolset.rtfd.org

Project details


Download files

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

Source Distribution

in-toolset-0.1.3.tar.gz (25.2 kB view details)

Uploaded Source

Built Distribution

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

in_toolset-0.1.3-py3-none-any.whl (44.2 kB view details)

Uploaded Python 3

File details

Details for the file in-toolset-0.1.3.tar.gz.

File metadata

  • Download URL: in-toolset-0.1.3.tar.gz
  • Upload date:
  • Size: 25.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.9.1 pkginfo/1.4.2 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/3.7.4

File hashes

Hashes for in-toolset-0.1.3.tar.gz
Algorithm Hash digest
SHA256 bce98a9b669b6c66414096bb6e708a39f581a56535c703b13b2010ec09688f2d
MD5 5318c3ec32c231b07b9c076c1223138a
BLAKE2b-256 55035e88eb7b17135be7a4afa0a1b33bb10b5167fc2a040bd46e11b22e2abd1e

See more details on using hashes here.

File details

Details for the file in_toolset-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: in_toolset-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 44.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.9.1 pkginfo/1.4.2 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/3.7.4

File hashes

Hashes for in_toolset-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 b6d366eae1eb72109897cbe6ea66c32367be56a9c7e39cbd6e622d5946ef4280
MD5 b28ffd4f3d578fb757681249f2c719a5
BLAKE2b-256 a3c2fcfd5edf79b7236737488a3807f111ac4a14e0070be58a7d4e7d9e18709e

See more details on using hashes here.

Supported by

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