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Best Active Learning Tools in 2026
- 16 apps
- Research read 28 Sept 2026
- How the order is worked out
- 1
LightlyStudio
Free plan Open source APILinuxMac+3LightlyStudio brings dataset curation, annotation, evaluation, and management together, with both GUI and Python API workflows. The open-source plan omits customer support and team collaboration.
- 2
Potato
Free plan APILinuxMac+3Potato offers broad annotation and AI-assisted labeling options in a free, self-hosted package. It is a fit for users prepared to run and maintain it themselves; there is no managed cloud tier.
- 3
Active Learning Toolbox
Free plan LinuxMacWindows - 4
Baal
Free plan LinuxMacWindows - 5
Cardinal
Free plan LinuxMacWindows - 6
Label Sleuth
Free plan LinuxMacWeb+1 - 7
ALEF
Free plan Linux - 8
libact
Free plan LinuxMacWindows - 9
modAL
Free plan LinuxMacWindows - 10
Prodigy
Free trial APILinuxMac+3Prodigy offers a broad set of annotation workflows and local data handling options for machine learning projects.
5.9 Visit site - 11
Dataloop
Paid APILinuxMac+2Choose Dataloop if you need an AI development platform that combines unstructured data, model workflows, pipelines and human feedback.
- 12
Encord
Paid APISelf-hostedWebEncord combines multimodal annotation with dataset curation and model evaluation for AI development teams.
- 13
Orobix Active Learning
Free plan - 14
small-text
Free plan - 15
ActiveTigger
Paid Web - 16
ALToolbox
Paid
#1Places #1, #2, #3, #4, #5 on this list can be bought by the makers of the software on it. See the price