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Best Active Learning Tools 2026
Facts read 24 Sep 2026 – 14 Oct 2026
These tools let teams select data with query strategies and arrange human annotation for machine-learning tasks. Entries may handle varied data formats, model frameworks and deployment arrangements.
The standings: top 10
| Name | Record score | Price from | Try it free | Runs on | Facts read |
|---|---|---|---|---|---|
| 01 LightlyStudio | 5.8 | Free plan | Free plan | Web, Windows, Mac, Linux | 14 Oct 2026 |
| 02 Prodigy | 4.9 | $390 one-time | Free trial | Web, Windows, Mac, Linux | 30 Sep 2026 |
| 03 Potato | 4.7 | Free plan | Free plan | Web, Windows, Mac, Linux | 29 Sep 2026 |
| 04 Dataloop | 4.2 | — | — | Web, Windows, Mac, Linux | 8 Oct 2026 |
| 05 Encord | 3.5 | — | — | Web, API, Self-hosted | 8 Oct 2026 |
| 06 Label Sleuth | 3.2 | Free plan | Free plan | Web, Windows, Mac, Linux | 24 Sep 2026 |
| 07 Active Learning Toolbox | 3.1 | Free plan | Free plan | Windows, Mac, Linux | 24 Sep 2026 |
| 08 Baal | 3.1 | Free plan | Free plan | Windows, Mac, Linux | 24 Sep 2026 |
| 09 Cardinal | 3.1 | Free plan | Free plan | Windows, Mac, Linux | 24 Sep 2026 |
| 10 libact | 3.1 | Free plan | Free plan | Windows, Mac, Linux | 24 Sep 2026 |
Compare entries here by free-plan availability, paid pricing, workflows and platform support. It is ordered by newest releases first, using figures makers publish, with no scoring.
02
Prodigy
WebWindowsMac+3 Record4.9 Visit
03
Potato
Potato suits teams that need to annotate varied media or qualitative data, including people working with AI agents or crowdsourced participants.
WebWindowsMac+3 Record4.7 Visit
04
Dataloop
Dataloop suits data engineers, data scientists, software engineers, AI leaders, and human reviewers building collaborative AI workflows.
WebWindowsMac+2 Record4.2 Visit
05
Encord
WebAPISelf-hosted Record3.5 Visit
Before you choose
Check the cost model
Check whether a tool offers a free plan. Paid products may list pricing on request. A free trial can provide a way to evaluate a paid option before committing.
Match the annotation workflow
Compare the human annotation workflow and query strategies against the way your team selects data and reviews labels. Look for the workflow details that fit your process.
Confirm technical support
Before selecting a tool, review the data types and model frameworks it supports. Available platform choices span Linux, macOS, Windows, web and API access.
Plan deployment and code access
Deployment options include self-hosted setups as well as hosted platforms. When code access matters, review the tool’s licence and whether its project is open source.
Questions
Are free plans available for active learning tools?
Free-plan and otherwise free options are available in this category.
Can I try a paid active learning tool for free?
Check each paid option for a free trial. Trial terms can differ, so check the maker's offer.
Which platforms do these tools support?
The listed tools run on Linux, macOS and Windows, with some offering web, API or self-hosted deployment.
What should I compare beyond price?
Look at query strategies, human annotation workflow, supported data types, model frameworks and deployment options.
Is open-source code available?
Check each tool’s licence to see whether open-source code is available.
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