https://github.com/1kastner/conflowgen
A generator for synthetic container flows at maritime container terminals with a focus on yard operations
https://github.com/1kastner/conflowgen
container-terminal logistics maritime sea-container synthetic-data
Last synced: 3 months ago
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A generator for synthetic container flows at maritime container terminals with a focus on yard operations
- Host: GitHub
- URL: https://github.com/1kastner/conflowgen
- Owner: 1kastner
- License: mit
- Created: 2021-12-01T17:53:34.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2026-03-30T15:04:50.000Z (3 months ago)
- Last Synced: 2026-03-30T16:14:47.154Z (3 months ago)
- Topics: container-terminal, logistics, maritime, sea-container, synthetic-data
- Language: Python
- Homepage:
- Size: 2.49 MB
- Stars: 17
- Watchers: 2
- Forks: 8
- Open Issues: 30
-
Metadata Files:
- Readme: Readme.md
- Contributing: Contributing.md
- License: LICENSE
- Citation: CITATION.cff
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README
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[](https://github.com/1kastner/conflowgen/actions/workflows/unittests.yaml)
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ConFlowGen
The Container Flow Generator - a Python application to generate container flows typical for seaport
container terminals.
Please check in the
[background section of the documentation](https://conflowgen.readthedocs.io/latest/background.html)
first whether ConFlowGen is the right tool for your purpose.
If you wish to use the module conflowgen, you can install the latest version using pip from the command line interface
(CLI) of your choice (e.g., bash, PowerShell, or CMD).
```bash
pip install conflowgen
```
In addition, conflowgen is also available on conda-forge.
```bash
conda install conda-forge::conflowgen
```
If you want to download all examples including simulation models, prepared SQLite databases, and Excel tables, it is best to obtain a full copy of this repository.
Please ensure that
[git-lfs](https://git-lfs.github.com/)
is installed and properly set up to download the larger files.
Then, please execute the following lines in your CLI:
```bash
git clone https://github.com/1kastner/conflowgen
cd conflowgen
pip install .
```
After you have installed the module, you are ready to define your own scenarios and generate the data.
```python
import conflowgen
database_chooser = conflowgen.DatabaseChooser()
database_chooser.create_new_sqlite_database("new_example.sqlite")
...
```
The next steps are described
[in the documentation](https://conflowgen.readthedocs.io/latest/notebooks/first_steps.html).
If you use ConFlowGen and decide to publish your results, we would be glad if you mention our work as defined at
https://conflowgen.readthedocs.io/latest/background.html#presentation-of-conflowgen.
## Star History
[](https://star-history.com/#1kastner/conflowgen&Date)