current OSX Build

MStraeten · March 16, 2026, 6:20pm

since nightly builds supports coreML here the complimentary non coreML build for older macOS

darktable-5.5.0+619~g8dbb8eebe8_arm64-coreml.dmg (macOS >= 11.3)

MStraeten · March 21, 2026, 2:56pm

current master 5.5.0 AI enabled build + preliminary Canon R6mIII support (based on Add Canon EOS R6 Mark III support by JuanPabloZambrano · Pull Request #745 · LibRaw/LibRaw · GitHub) + a couple of RF lensfun data from: Kameratrollet

for documentation of the AI masking have a look at [AI] AI object mask tool by andriiryzhkov · Pull Request #20378 · darktable-org/darktable · GitHub

There are some impacts on macos support. A build which makes use of coreML requires at least macOS 14.4. (you can use the nightly builds available on darktable github)
For older macOS coreML isn’t available an so the AI processing will be done by CPU.
The intel build also can’t make use of coreML and AI dependency onnxruntime requires at least 10.15.

darktable-5.5.0+739~g959c8b4160_arm64.dmg (macOS >= 11.3 no coreML )
darktable-5.5.0+739~g959c8b4160_x86_64.dmg (macOS >= 10.15 no coreML)

you might run it with an in-memory library via terminal:
/Volumes/darktable/darktable.app/Contents/MacOS/darktable --library :memory:
or use a separate config directory:
/Volumes/darktable/darktable.app/Contents/MacOS/darktable --configdir ~/.config/darktable_test

also keep in mind that if you don’t disable writing sidecar files these can be messed up

both packages are unsigned, you might need to allow execution via terminal: " xattr -c <path/to/application.app> "

Release notes for 5.5.0 release: darktable/RELEASE_NOTES.md at master · darktable-org/darktable · GitHub

difference to released 5.4.1 see: Comparing release-5.4.1…master · darktable-org/darktable · GitHub

Rajkhand · March 24, 2026, 12:19pm

so we have to download coreML supported version from Releases · darktable-org/darktable · GitHub in the future?

MStraeten · March 24, 2026, 2:26pm

yes, for coreml you need to use the official arm64 nightly builds. coreml isn’t supported for older macos than 14.4

MStraeten · March 28, 2026, 12:42pm

current master 5.5.0 AI enabled build + preliminary Canon R6mIII support (based on Add Canon EOS R6 Mark III support by JuanPabloZambrano · Pull Request #745 · LibRaw/LibRaw · GitHub) + a couple of RF lensfun data from: Kameratrollet

for documentation of the AI masking have a look at [AI] AI object mask tool by andriiryzhkov · Pull Request #20378 · darktable-org/darktable · GitHub

There are some impacts on macos support. A build which makes use of coreML requires at least macOS 14.4. (you can use the nightly builds available on darktable github)
For older macOS coreML isn’t available an so the AI processing will be done by CPU.
The intel build also can’t make use of coreML and AI dependency onnxruntime requires at least 10.15.

darktable-5.5.0+806~ge10c1b455b_arm64.dmg (macOS >= 11.3 no coreML )
darktable-5.5.0+806~ge10c1b455b_x86_64.dmg (macOS >= 10.15 no coreML)

you might run it with an in-memory library via terminal:
/Volumes/darktable/darktable.app/Contents/MacOS/darktable --library :memory:
or use a separate config directory:
/Volumes/darktable/darktable.app/Contents/MacOS/darktable --configdir ~/.config/darktable_test

also keep in mind that if you don’t disable writing sidecar files these can be messed up

both packages are unsigned, you might need to allow execution via terminal: " xattr -c <path/to/application.app> "

Release notes for 5.5.0 release: darktable/RELEASE_NOTES.md at master · darktable-org/darktable · GitHub

difference to released 5.4.1 see: Comparing release-5.4.1…master · darktable-org/darktable · GitHub

MStraeten · April 4, 2026, 5:22am

current master 5.5.0 AI enabled build + preliminary Canon R6mIII support (based on Add Canon EOS R6 Mark III support by JuanPabloZambrano · Pull Request #745 · LibRaw/LibRaw · GitHub) + a couple of RF lensfun data from: Kameratrollet

for documentation of the AI masking have a look at [AI] AI object mask tool by andriiryzhkov · Pull Request #20378 · darktable-org/darktable · GitHub

There are some impacts on macos support. A build which makes use of coreML requires at least macOS 14.4. (you can use the nightly builds available on darktable github)
For older macOS coreML isn’t available an so the AI processing will be done by CPU.
The intel build also can’t make use of coreML and AI dependency onnxruntime requires at least 10.15.

darktable-5.5.0+879~gdb8be9b495_arm64.dmg (macOS >= 11.3 no coreML )
darktable-5.5.0+879~gdb8be9b495_x86_64.dmg (macOS >= 10.15 no coreML)

you might run it with an in-memory library via terminal:
/Volumes/darktable/darktable.app/Contents/MacOS/darktable --library :memory:
or use a separate config directory:
/Volumes/darktable/darktable.app/Contents/MacOS/darktable --configdir ~/.config/darktable_test

also keep in mind that if you don’t disable writing sidecar files these can be messed up

both packages are unsigned, you might need to allow execution via terminal: " xattr -c <path/to/application.app> "

Release notes for 5.5.0 release: darktable/RELEASE_NOTES.md at master · darktable-org/darktable · GitHub

difference to released 5.4.1 see: Comparing release-5.4.1…master · darktable-org/darktable · GitHub

GregDunn · April 10, 2026, 8:26pm

Again, thanks for maintaining this build for MacOS. Will the build ever include coreML for AI use? Or do I need to pull the nightly builds for that? I will eventually figure out how to build my own copy but I’m actually using dt quite a lot and don’t have time to spend on that yet.

MStraeten · April 10, 2026, 9:12pm

My builds are focused on macOS versions not supported by the official nightly builds. (There’s no benefit in providing the same stuff)
Since coreML requires at least macOS 14.4 these builds won’t support coreML

MStraeten · April 12, 2026, 1:01pm

current master 5.5.0 AI enabled build + preliminary Canon R6mIII support (based on Add Canon EOS R6 Mark III support by JuanPabloZambrano · Pull Request #745 · LibRaw/LibRaw · GitHub) + a couple of RF lensfun data from: Kameratrollet

for documentation of the AI masking have a look at [AI] AI object mask tool by andriiryzhkov · Pull Request #20378 · darktable-org/darktable · GitHub

There are some impacts on macos support. A build which makes use of coreML requires at least macOS 14.4. (you can use the nightly builds available on darktable github)
For older macOS coreML isn’t available an so the AI processing will be done by CPU.
The intel build also can’t make use of coreML and AI dependency onnxruntime requires at least 10.15.

darktable-5.5.0+928~g06f2ded73e_arm64.dmg (macOS >= 11.3 no coreML )
darktable-5.5.0+928~g06f2ded73e_x86_64.dmg (macOS >= 10.15 no coreML)

you might run it with an in-memory library via terminal:
/Volumes/darktable/darktable.app/Contents/MacOS/darktable --library :memory:
or use a separate config directory:
/Volumes/darktable/darktable.app/Contents/MacOS/darktable --configdir ~/.config/darktable_test

also keep in mind that if you don’t disable writing sidecar files these can be messed up

both packages are unsigned, you might need to allow execution via terminal: " xattr -c <path/to/application.app> "

Release notes for 5.5.0 release: darktable/RELEASE_NOTES.md at master · darktable-org/darktable · GitHub

difference to released 5.4.1 see: Comparing release-5.4.1…master · darktable-org/darktable · GitHub

MStraeten · April 18, 2026, 3:50am

current master 5.5.0 AI enabled build + preliminary Canon R6mIII support (based on Add Canon EOS R6 Mark III support by JuanPabloZambrano · Pull Request #745 · LibRaw/LibRaw · GitHub) + a couple of RF lensfun data from: Kameratrollet

for documentation of the AI masking have a look at [AI] AI object mask tool by andriiryzhkov · Pull Request #20378 · darktable-org/darktable · GitHub

There are some impacts on macos support. A build which makes use of coreML requires at least macOS 14.4. (you can use the nightly builds available on darktable github)
For older macOS coreML isn’t available an so the AI processing will be done by CPU.
The intel build also can’t make use of coreML and AI dependency onnxruntime requires at least 10.15.

darktable-5.5.0+995~gc3afa02829_arm64.dmg (macOS >= 11.3 no coreML )
darktable-5.5.0+995~gc3afa02829_x86_64.dmg (macOS >= 10.15 no coreML)

you might run it with an in-memory library via terminal:
/Volumes/darktable/darktable.app/Contents/MacOS/darktable --library :memory:
or use a separate config directory:
/Volumes/darktable/darktable.app/Contents/MacOS/darktable --configdir ~/.config/darktable_test

also keep in mind that if you don’t disable writing sidecar files these can be messed up

both packages are unsigned, you might need to allow execution via terminal: " xattr -c <path/to/application.app> "

Release notes for 5.5.0 release: darktable/RELEASE_NOTES.md at master · darktable-org/darktable · GitHub

difference to released 5.4.1 see: Comparing release-5.4.1…master · darktable-org/darktable · GitHub

MStraeten · May 1, 2026, 8:33am

current master 5.5.0 AI enabled build + preliminary Canon R6mIII support (based on Add Canon EOS R6 Mark III support by JuanPabloZambrano · Pull Request #745 · LibRaw/LibRaw · GitHub) + a couple of RF lensfun data from: Kameratrollet

for documentation of the AI masking have a look at [AI] AI object mask tool by andriiryzhkov · Pull Request #20378 · darktable-org/darktable · GitHub

There are some impacts on macos support. A build which makes use of coreML requires at least macOS 14.4. (you can use the nightly builds available on darktable github)
For older macOS coreML isn’t available an so the AI processing will be done by CPU.
The intel build also can’t make use of coreML and AI dependency onnxruntime requires at least 10.15.

darktable-5.5.0+1115~g274d3b84a1_arm64.dmg (macOS >= 11.3 no coreML )
darktable-5.5.0+1115~g274d3b84a1_x86_64.dmg (macOS >= 10.15 no coreML)

you might run it with an in-memory library via terminal:
/Volumes/darktable/darktable.app/Contents/MacOS/darktable --library :memory:
or use a separate config directory:
/Volumes/darktable/darktable.app/Contents/MacOS/darktable --configdir ~/.config/darktable_test

also keep in mind that if you don’t disable writing sidecar files these can be messed up

both packages are unsigned, you might need to allow execution via terminal: " xattr -c <path/to/application.app> "

Release notes for 5.5.0 release: darktable/RELEASE_NOTES.md at master · darktable-org/darktable · GitHub

difference to released 5.4.1 see: Comparing release-5.4.1…master · darktable-org/darktable · GitHub

Frank_Walsh · May 4, 2026, 6:12pm

Mac OS X86 OS 13.7.8 - No matter if I install the current stable build or the nightly, the application cannot be run from the app image, I have to open contents and run it from the terminal. I’ve tried the repair command to no avail. Any thoughts? Tried to install from Homebrew but that did not work either.

MStraeten · May 9, 2026, 6:12pm

current master 5.5.0 AI enabled build + preliminary Canon R6mIII support (based on Add Canon EOS R6 Mark III support by JuanPabloZambrano · Pull Request #745 · LibRaw/LibRaw · GitHub) + a couple of RF lensfun data from: Kameratrollet

for documentation of the AI masking have a look at [AI] AI object mask tool by andriiryzhkov · Pull Request #20378 · darktable-org/darktable · GitHub

There are some impacts on macos support. A build which makes use of coreML requires at least macOS 14.4. (you can use the nightly builds available on darktable github)
For older macOS coreML isn’t available an so the AI processing will be done by CPU.
The intel build also can’t make use of coreML and AI dependency onnxruntime requires at least 10.15.

darktable-5.5.0+1190~gcde7e548f2_arm64.dmg (macOS >= 11.3 no coreML )
darktable-5.5.0+1190~gcde7e548f2_x86_64.dmg (macOS >= 10.15 no coreML)

you might run it with an in-memory library via terminal:
/Volumes/darktable/darktable.app/Contents/MacOS/darktable --library :memory:
or use a separate config directory:
/Volumes/darktable/darktable.app/Contents/MacOS/darktable --configdir ~/.config/darktable_test

also keep in mind that if you don’t disable writing sidecar files these can be messed up

both packages are unsigned, you might need to allow execution via terminal: " xattr -c <path/to/application.app> "

Release notes for 5.5.0 release: darktable/RELEASE_NOTES.md at master · darktable-org/darktable · GitHub

difference to released 5.4.1 see: Comparing release-5.4.1…master · darktable-org/darktable · GitHub

ben_tpe · May 15, 2026, 5:38am

Hi! I noticed today that darktable has been deprecated on homebrew, is it the right place to share this info? I’m not sure how it works.

 brew info darktable
==> darktable ✔ (darktable): 5.4.1
Photography workflow application and raw developer
https://www.darktable.org/
Deprecated because it does not pass the macOS Gatekeeper check! It will be disabled on 2026-09-01.
Installed (on request)
/opt/homebrew/Caskroom/darktable/5.4.1 (262.5MB)
  Installed using the formulae.brew.sh API on 2025-04-20 at 20:22:04
From: https://github.com/Homebrew/homebrew-cask/blob/HEAD/Casks/d/darktable.rb
==> Requirements
Required: macOS >= 14 ✔
==> Artifacts
darktable.app (App)
==> Downloading https://formulae.brew.sh/api/cask/darktable.json
==> Analytics
install: 795 (30 days), 2,348 (90 days), 11,530 (365 days)

MStraeten · May 16, 2026, 2:16pm

current master 5.5.0 AI enabled build + preliminary Canon R6mIII support (based on Add Canon EOS R6 Mark III support by JuanPabloZambrano · Pull Request #745 · LibRaw/LibRaw · GitHub) + a couple of RF lensfun data from: Kameratrollet

for documentation of the AI masking have a look at [AI] AI object mask tool by andriiryzhkov · Pull Request #20378 · darktable-org/darktable · GitHub

There are some impacts on macos support. A build which makes use of coreML requires at least macOS 14.4. (you can use the nightly builds available on darktable github)
For older macOS coreML isn’t available an so the AI processing will be done by CPU.
The intel build also can’t make use of coreML and AI dependency onnxruntime requires at least 10.15.

darktable-5.5.0+1295~g92e04f41a6_arm64.dmg (macOS >= 11.3 no coreML )
darktable-5.5.0+1295~g92e04f41a6_x86_64.dmg (macOS >= 10.15 no coreML)

you might run it with an in-memory library via terminal:
/Volumes/darktable/darktable.app/Contents/MacOS/darktable --library :memory:
or use a separate config directory:
/Volumes/darktable/darktable.app/Contents/MacOS/darktable --configdir ~/.config/darktable_test

also keep in mind that if you don’t disable writing sidecar files these can be messed up

both packages are unsigned, you might need to allow execution via terminal: " xattr -c <path/to/application.app> "

Release notes for 5.5.0 release: darktable/RELEASE_NOTES.md at master · darktable-org/darktable · GitHub

difference to released 5.4.1 see: Comparing release-5.4.1…master · darktable-org/darktable · GitHub