ilastik

ilastik-shell, applets, and workflows to string them together.

https://github.com/ilastik/ilastik

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    35 of 90 committers (38.9%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (19.2%) to scientific vocabulary

Keywords

ilastik machine-learning python qt

Keywords from Contributors

interactive napari notebook dataflow network-simulation hacking embedded optim workflow-engine standardization
Last synced: 6 months ago · JSON representation

Repository

ilastik-shell, applets, and workflows to string them together.

Basic Info
  • Host: GitHub
  • Owner: ilastik
  • License: other
  • Language: Python
  • Default Branch: main
  • Homepage: https://ilastik.org
  • Size: 129 MB
Statistics
  • Stars: 380
  • Watchers: 40
  • Forks: 160
  • Open Issues: 574
  • Releases: 16
Topics
ilastik machine-learning python qt
Created almost 14 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing License Code of conduct Citation

Readme.md

ilastik logo

ilastik

The interactive learning and segmentation toolkit

Conda Badge CircleCI AppVeyor Codecov Image.sc forum Code style: black

Leverage machine learning algorithms to easily segment, classify, track and count your cells or other experimental data. Most operations are interactive, even on large datasets: you just draw the labels and immediately see the result. No machine learning expertise required.

Screenshot

See ilastik.org for more info and downloads.


Installation

Binary installation

Go to the download page, get the latest non-beta version for your operating system, and follow the installation instructions. If you are new to ilastik, we suggest to start from the pixel classification workflow. If you don't have a dataset to work with, download one of the example projects to get started.

Conda installation (experimental)

ilastik is also available as a conda package on our ilastik-forge conda channel. You can install it from the commandline using conda:

```bash conda create -n ilastik --override-channels -c pytorch -c ilastik-forge -c conda-forge ilastik

activate ilastik environment and start ilastik

conda activate ilastik ilastik ````

Python compatibility notes

The current version of ilastik (up to the stable release 1.4.1) is developed for Python 3.9. Versions of ilastik until 1.4.1b2 are based on, and only compatible with Python 3.7 Starting from ilastik 1.4.1b3 ilastik environments can be created with Python versions 3.7 to 3.9. Limitations when going with Python 3.7: please use a version of tifffile >2020.9.22,<=2021.11.2 (see also note in environment-dev.yml).

Usage

ilastik is a collection of workflows, designed to guide you through a sequence of steps. You can select a new workflow, or load an existing one, via the startup screen. The specific steps vary between workflows, but there are some common elements like data selection and data navigation. See more details on the documentation page.

Support

If you have a question, please create a topic on the image.sc forum. Before doing that, search for similar topics first: maybe your issue has been already solved! You can also open an issue here on GitHub if you have a technical bug report and/or feature suggestion.

Contributing

We always welcome good pull requests! If you just want to suggest a documentation edit, you can do this directly here, on GitHub. For more complex changes, see CONTRIBUTING.md for details.

License

GPL

Owner

  • Name: ilastik
  • Login: ilastik
  • Kind: organization

The interactive learning and segmentation toolkit

GitHub Events

Total
  • Create event: 13
  • Issues event: 76
  • Release event: 4
  • Watch event: 29
  • Delete event: 5
  • Member event: 1
  • Issue comment event: 290
  • Push event: 53
  • Pull request review comment event: 131
  • Pull request review event: 176
  • Pull request event: 158
  • Fork event: 36
Last Year
  • Create event: 13
  • Issues event: 76
  • Release event: 4
  • Watch event: 29
  • Delete event: 5
  • Member event: 1
  • Issue comment event: 290
  • Push event: 53
  • Pull request review comment event: 131
  • Pull request review event: 176
  • Pull request event: 158
  • Fork event: 36

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 12,226
  • Total Committers: 90
  • Avg Commits per committer: 135.844
  • Development Distribution Score (DDS): 0.622
Past Year
  • Commits: 248
  • Committers: 9
  • Avg Commits per committer: 27.556
  • Development Distribution Score (DDS): 0.512
Top Committers
Name Email Commits
Stuart Berg b****s@j****g 4,622
k-dominik k****k 1,156
John Kirkham k****j@j****g 654
Anna Kreshuk a****k@i****e 468
Janez Ales j****s@i****e 415
Christoph Straehle c****e@i****e 410
Maksim Novikov m****k@g****m 378
Benedikt Best 6****t 364
Thorben Kroeger t****r@i****e 326
mschiegg m****g@i****e 316
Bernhard X. Kausler b****r@i****e 250
Carsten Haubold c****d@g****m 248
Markus Döring w****r@b****e 236
Fynn Beuttenmueller f****r@i****e 229
JaimeIvanCervantes j****0@h****m 224
Kemal Eren k****n@i****e 210
Luca Fiaschi l****i@i****e 193
Tomaz Vieira t****a@e****e 154
fynnbe t****e@g****m 111
Emil Melnikov e****v@g****m 96
Buote Xu B****u@g****m 92
Beinabih j****a@i****e 83
bheuer b****r@w****e 83
paulhfu h****a@g****m 70
Tomaz Vieira t****a@g****m 69
mschiegg m****l@m****e 65
niels b****n@s****e 60
Claus Ripp c****p@i****e 51
Ullrich Koethe u****e@i****e 45
opetra o****a@i****e 44
and 60 more...

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 218
  • Total pull requests: 257
  • Average time to close issues: over 1 year
  • Average time to close pull requests: 2 months
  • Total issue authors: 53
  • Total pull request authors: 23
  • Average comments per issue: 1.36
  • Average comments per pull request: 1.76
  • Merged pull requests: 143
  • Bot issues: 0
  • Bot pull requests: 7
Past Year
  • Issues: 46
  • Pull requests: 166
  • Average time to close issues: 6 days
  • Average time to close pull requests: 9 days
  • Issue authors: 20
  • Pull request authors: 19
  • Average comments per issue: 0.54
  • Average comments per pull request: 1.89
  • Merged pull requests: 86
  • Bot issues: 0
  • Bot pull requests: 1
Top Authors
Issue Authors
  • k-dominik (44)
  • stuarteberg (38)
  • bekaus (18)
  • martinsch (15)
  • btbest (15)
  • FredHamprecht (10)
  • kemaleren (7)
  • oanegros (7)
  • akreshuk (5)
  • snajder-r (4)
  • cstraehl (3)
  • constantinpape (3)
  • Etzila (3)
  • daviddaytw (2)
  • FynnBe (2)
Pull Request Authors
  • k-dominik (116)
  • btbest (60)
  • Palak1725 (13)
  • AryanK37 (8)
  • thodkatz (7)
  • dependabot[bot] (7)
  • LimpingTwerp (6)
  • Peter-Laszcz (5)
  • Anindhiths (5)
  • tanishac25 (4)
  • Diepreye-Brown (4)
  • suhastr (3)
  • eric-zyh (3)
  • JaimeIvanCervantes (2)
  • Dat-tech30 (2)
Top Labels
Issue Labels
enhancement (33) bug (31) pixelClassification (15) gui (14) tracking (13) good first issue (7) feature-request (6) infrastructure (6) carving (6) objectClassification (5) multicut (5) data-export (3) easyFix (3) trainable-domain-adaptation (2) batch (2) nnClassification (2) api (2) dependencies (2) awaiting_input (2) lazyflow (1) docs (1) refactor (1) data-selection (1) os:windows (1) user-request (1) volumina (1) command line (1) shell (1) testing (1) labeling (1)
Pull Request Labels
dependencies (7) github_actions (1)

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 14
proxy.golang.org: github.com/ilastik/ilastik
  • Versions: 14
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 9.0%
Average: 9.6%
Dependent repos count: 10.2%
Last synced: 6 months ago

Dependencies

.github/workflows/core-conda-bld.yml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • al-cheb/configure-pagefile-action v1.2 composite
  • conda-incubator/setup-miniconda v2 composite
.github/workflows/deploy.yml actions
  • actions/checkout v2 composite
  • conda-incubator/setup-miniconda v2 composite
.github/workflows/static-code-analysis.yml actions
  • actions/checkout v2 composite
  • akaihola/darker 1.6.0 composite
pyproject.toml pypi
setup.py pypi
notebooks/h5convert/environment.yml conda
  • h5py
  • notebook
  • numpy
  • vigra
notebooks/pixel_classification_api/environment.yml conda
  • ilastik-core
  • notebook