Blobmodel

Blobmodel: A Python package for generating superpositions of pulses in one and two dimensions - Published in JOSS (2025)

https://github.com/uit-cosmo/blobmodel

Science Score: 93.0%

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JOSS paper metadata
Published in Journal of Open Source Software

Keywords

fusion modelling-tool plasma python science stochastic-process turbulence

Scientific Fields

Earth and Environmental Sciences Physical Sciences - 64% confidence

Engineering Computer Science - 40% confidence

Last synced: 4 months ago · JSON representation

Repository

Model of propagating blobs in 1D and 2D

Basic Info

Host: GitHub
Owner: uit-cosmo
License: mit
Language: Python
Default Branch: main
Homepage: https://blobmodel.readthedocs.io
Size: 55.6 MB

Statistics

Stars: 6
Watchers: 0
Forks: 2
Open Issues: 3
Releases: 4

Topics

fusion modelling-tool plasma python science stochastic-process turbulence

Created over 4 years ago · Last pushed 4 months ago

Metadata Files

Readme License

blobmodel

This package provides realizations of advecting and dissipating blobs in up to two dimensions.

All blob parameters can be choosen freely, and multiple blob shapes are implemented. Originally, the model is developed for studying the scrape-off layer of fusion experiments, but it can be applicable to many 1d or 2d systems. See the blobmodel documentation for further details.

Examples for one and two dimensions are shown below:

1D	2D

Installation

The package is published to PyPI and can be installed with sh pip install blobmodel

If you want the development version you must first clone the repo to your local machine, then install the project in development mode:

sh git clone https://github.com/uit-cosmo/blobmodel.git cd blobmodel python -m pip install -e .

Usage

Create a grid on which the blobs are discretized using the Model class. The make_realization() method computes the output as an xarray dataset which can also be written out as a netcdf file if the argument file_name is specified. A simple example is shown below:

```Python from blobmodel import Model, show_model

bm = Model(Nx=200, Ny=100, Lx=10, Ly=10, dt=0.1, T=20, num_blobs=100)

ds = bm.makerealization(filename="example.nc") The data can be shown as an animation using the `show_model` function:Python show_model(ds) ``` You can specify the blob parameters with a BlobFactory class. The DefaultBlobFactory class has some of the most common distribution functions implemented. An example would look like this:

```Python from blobmodel import DefaultBlobFactory, DistributionEnum, Model

use DefaultBlobFactory to define distribution functions of random variables

myblobfactory = DefaultBlobFactory(Adist=DistributionEnum.normal, Aparameter=5)

pass on myblobfactory when creating the Model

bm = Model( Nx=100, Ny=100, Lx=10, Ly=10, dt=0.1, T=20, blobfactory=myblobfactory, tdrain=100, numblobs=100, ) ``Alternatively, you can specify all blob parameters exactly as you want by writing your own class which inherits from BlobFactory. Seeexamples/customblobfactory.py` as an example or take a look at the blobmodel documentation.

Contributing

Feel free to raise issues about anything. Contributions through pull requests are also very welcome. Please take a look at our Contributor guide for further details.

Owner

Name: Complex Systems Modelling - UiT
Login: uit-cosmo
Kind: organization

Website: https://uit.no/research/dynamo
Repositories: 12
Profile: https://github.com/uit-cosmo

Research group at UiT devoted to modelling of complex physical, biological, ecological and socio-economic systems.

JOSS Publication

Blobmodel: A Python package for generating superpositions of pulses in one and two dimensions

Published

July 11, 2025

DOI

10.21105/joss.08032

Volume 10, Issue 111, Page 8032

Authors

Juan M. Losada

UiT, The Arctic University of Norway

Gregor Decristoforo

UiT, The Arctic University of Norway

Editor

Fruzsina Agocs

GitHub Events

Total

Create event: 16
Commit comment event: 2
Release event: 2
Issues event: 22
Delete event: 4
Member event: 1
Issue comment event: 22
Push event: 67
Pull request review comment event: 13
Pull request event: 31
Pull request review event: 16

Last Year

Create event: 16
Commit comment event: 2
Release event: 2
Issues event: 22
Delete event: 4
Member event: 1
Issue comment event: 22
Push event: 67
Pull request review comment event: 13
Pull request event: 31
Pull request review event: 16

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 23
Total pull requests: 53
Average time to close issues: about 1 month
Average time to close pull requests: 21 days
Total issue authors: 4
Total pull request authors: 4
Average comments per issue: 1.26
Average comments per pull request: 0.57
Merged pull requests: 45
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 15
Pull requests: 29
Average time to close issues: 9 days
Average time to close pull requests: about 22 hours
Issue authors: 4
Pull request authors: 2
Average comments per issue: 1.2
Average comments per pull request: 0.38
Merged pull requests: 24
Bot issues: 0
Bot pull requests: 0

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Top Authors

Issue Authors

gregordecristoforo (9)
andrewgiuliani (5)
EmilyBourne (5)
Sosnowsky (4)

Pull Request Authors

Sosnowsky (33)
gregordecristoforo (17)
audunth (2)
ema109 (1)

Top Labels

Issue Labels

bug (4) documentation (3) enhancement (2) good first issue (1)

Pull Request Labels

bug (9) documentation (5) enhancement (4)

Packages

Total packages: 1
Total downloads:
- pypi 617 last-month

Total dependent packages: 1
Total dependent repositories: 0
Total versions: 6
Total maintainers: 2

pypi.org: blobmodel

Two dimensional model of propagating blobs

Documentation: https://blobmodel.readthedocs.io/
License: MIT License Copyright (c) 2021 Gregor Decristoforo Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Latest release: 1.1.1
published 6 months ago

Versions: 6
Dependent Packages: 1
Dependent Repositories: 0
Downloads: 617 Last month

Rankings

Dependent packages count: 10.1%

Downloads: 36.9%

Average: 38.1%

Dependent repos count: 67.3%

Maintainers (2)

gregordecristoforo JuanMLosada