ilastik Download available for all major platforms

Binaries

Choose from the download links below, and make sure your operating system satisfies the minimum requirements. For help with installation, see the installation instructions.

macOS Big Sur is not supported

If you use ilastik on macOS, please do not upgrade to macOS 11 (Big Sur). ilastik 1.4.0b11 offers limited Big Sur support - no guarantees!. This message will disappear when we start supporting macOS Big Sur in the latest release.

Version 1.3.3

Includes various improvements and bug fixes.
A few highlights:
  • 1.3.3post3, projects are opened readonly in headless mode per default
  • Support for n5 volumes (https://github.com/saalfeldlab/n5)
  • Support for masks in Pixel Classification (an additional dataset can be supplied that disables computation of probabilities wherever it is 0 -> speeds up computation in cases with a lot of background
  • Atlas Mask overlays for Object classification (an additional dataset can be supplied. Pixel values of this additional mask are included in result tables but not used in classification.)
  • counting fixes (saving boxes, import/export of boxes, interaction improvements)
  • autocontext now takes arbitrary data types (was previously limited to uint8), but mind the memory footprint! We still recommend to use uint8.
  • carving improvements, more efficient memory utilization
  • applet bar improvement, redesign
  • a lot of internal backend cleanups/improvements
  • a lot of internal GUI cleanups/improvements
  • updated dependency stack
For more details, see the Release Notes. Commercial solver support for cplex version 1290 and gurobi 811 for tracking with learning.
 Windows (64-bit) version 1.3.3post3 (2020-05-03) (mirror) Supported Versions: Windows 7 and later
 Linux (64-bit) version 1.3.3post3 (2020-05-03) (mirror) Supported Versions: glibc 2.5 and up
 Mac (64-bit), OSX version 1.3.3post3 (2020-05-03) (mirror) Supported Versions: 10.9 and up


Latest Beta Version

Version 1.4.0b13 (28. January 2021)

Release Summary:
  • Neural Network Classification workflow :rocket: :rocket: :rocket: see the docs for more instructions

For more details, see the Release Notes. Commercial solver support for cplex version 1290 and gurobi 903 for tracking with learning.
 Windows (64-bit) version 1.4.0b13 Supported Versions: Windows 10
 Linux (64-bit) version 1.4.0b13 Supported Versions: Ubuntu 14 and up
 Mac (64-bit), OSX version 1.4.0b13 Supported Versions: 10.9 and up

Tiktorch server version 20.9

 Linux version 20.9 (2020-10-12) Supported Versions: Ubuntu 18.04 and up
 Windows (64-bit) version 20.9 (2020-10-12) Supported Versions:Windows 8 and up
 MacOS CPU(64-bit) version 20.9 (2020-10-12) Supported Versions:MacOS 10.11 and up


Previous stable versions

Version 1.3.2

Please see our Release Notes for a summary of changes.
 Windows (64-bit) version 1.3.2post1 (2019-03-07) Supported Versions: Windows 7 and later
 Linux (64-bit) version 1.3.2post1 (2019-03-07) Supported Versions: glibc 2.5 and up
 Mac (64-bit), OSX version 1.3.2post1 (2019-03-07) Supported Versions: 10.9 and up

Version 1.3.0

We have updated all our dependencies, and switched from Python 2 to Python 3.
This could mean that projects created with older ilastik versions do not load any more and vice versa. We advise you to make copies of important project files before you try to use them with this new version of ilastik!
For more details, see the Release Notes.
 Windows (64-bit) version 1.3.0 (2018-01-26) Supported Versions: Windows 7 and later
 Linux (64-bit) version 1.3.0 (2018-01-26) Supported Versions: glibc 2.5 and up
 Mac (64-bit), OSX version 1.3.0 (2018-01-26) Supported Versions: 10.9 and up


Version 1.2.2 (based on Python 2)

 Windows (64-bit) version 1.2.2post2 (2017-11-29) Supported Versions: Windows 7 and later
 Linux (64-bit) version 1.2.2post2 (2017-11-29) Supported Versions: glibc 2.5 and up
 Mac (64-bit), OSX version 1.2.2post2 (2017-11-29) Supported Versions: Mountain Lion 10.9 and up

For the difference between the two versions, see Release Notes. For the news of the previous stable version, see previous Release Notes.



Example data and projects

Dataset Pixel Classification Object Classification Tracking (Automatic and Manual) Carving Density Counting Data Courtesy of
Mitocheck 2D+t (120 MB) Mitocheck project
Drosophila 3D+t (337 MB) Hufnagel, EMBL Heidelberg
Counting tutorial (3 MB) VisRec Project, University of Oxford
Lehmussola et al. TMI2007
FlyEM Project (48 MB) FlyEM Project, Janelia Research Campus
Helmstaedter (35 MB) Helmstaedter et al., Max Planck Institute for Medical Research
Small FIB/SEM stack (13.5 MB) Graham Knott, EPF Lausanne
Fly Bowl Video: Social Flies (130 MB) Kristin Branson, Janelia Research Campus
Larvae Arena Video (800 MB) Marta Zlatic, Janelia Research Campus

Previous versions

ilastik 0.5 is still available here, along with its documentation. However, we would really encourage you to try a version > 1.0. If you rely on some functionality, which we did not yet port from ilastik 0.5, please contact us, and we'll try to find a workaround and re-adjust our priority list.