Learning & Education·Standings

Compare Active Learning Tools

Active learning tools help organize workflows that use query strategies and human annotation; compare those features with supported data types and model frameworks.

This board uses a signal score out of 10. Its marks show whether a tool has a public API, open-source code or a free tier; compare platforms and deployment options too.

  • 16 platforms
  • 11 with a free tier
  • Checked 28 Sept 2026
  1. 1
    L
    LightlyStudiolightly.ai

    LightlyStudio combines computer-vision dataset curation, annotation, quality assurance, model evaluation and export in one application.

    7.7 APIOpenFree Free tier
  2. 2
    P
    Potatopotatoannotator.com

    A free, open-source annotation platform with task setup that needs no programming.

    6.3 APIOpenFree Free tier
  3. 3
    AL
    Active Learning Toolboxgithub.com

    A free toolkit for selecting examples to label, with a Jupyter annotation widget and LibAct integration.

    6.1 APIOpenFree Free tier
  4. 4
    P
    Prodigyprodi.gy

    A paid downloadable tool for creating model training and evaluation data in a customizable browser app.

    6.0 APIOpenFree $390 one-time
  5. 5
    A
    ALEFgithub.com

    A free Linux framework for active learning with Gaussian Processes and other stochastic models.

    5.8 APIOpenFree Free tier
  6. 6
    B
    Baalgithub.com

    A free active learning library that selects uncertain examples for labeling from an unlabeled pool.

    5.7 APIOpenFree Free tier
  7. 7
    D
    Dataloopdataloop.ai

    An AI development platform for data and model workflows, with drag-and-drop pipelines or a Python SDK.

    5.4 APIOpenFree —
  8. 8
    LS
    Label Sleuthlabel-sleuth.org

    A free web tool for text annotation with built-in human labeling and model-based selection strategies.

    5.2 APIOpenFree Free tier
  9. 9
    C
    Cardinalgithub.com

    A free active learning tool available for Linux, macOS, and Windows.

    5.1 APIOpenFree Free tier
  10. 10
    L
    libactgithub.com

    A free Python library with strategies for selecting examples for human annotation.

    5.1 APIOpenFree Free tier
  11. 11
    M
    modALmodal-python.readthedocs.io

    A free Python library with several strategies for choosing examples for annotation.

    5.1 APIOpenFree Free tier
  12. 12
    A
    ALToolboxgithub.com

    A free framework for NLP annotation with a Jupyter interface and tools for reusing labeled data.

    5.0 APIOpenFree —
  13. 13
    A
    ActiveTiggeractivetigger.com

    A free, open-source web app for collaborative text and image annotation, exploration, and classification.

    4.8 APIOpenFree —
  14. 14
    E
    Encordencord.com

    A paid platform for labeling, curating, and evaluating datasets across many data types.

    4.7 APIOpenFree —
  15. 15
    OA
    4.7 APIOpenFree Free tier
  16. 16
    ST
    small-textgithub.com

    A free library for selecting text examples to annotate using sampling and model-based strategies.

    4.6 APIOpenFree Free tier

Places #1, #2, #3, #4, #5 on this board are open to sponsors. Take #1 · Other ways to advertise

How to choose

Which query strategies and annotation workflow do I need?

Start with the query strategies and human annotation workflow your project calls for. Compare those fields across tools before deciding which workflow fits.

Does it support my data types and model framework?

Check the supported data types and model frameworks against the ones your project uses. These are separate comparison fields, so confirm both.

Where can I run the tool?

Compare deployment options and platform support with your setup. Listed platforms include Linux, macOS, Windows, self-hosted, web and API; availability varies by tool.

Can I start for free, and what does paid access cost?

Check whether a tool has a free plan or free trial, then compare its paid-from price where one is listed. A free plan and a free trial are different options.

Do I need an API or open-source code?

If your workflow needs programmatic access, check for a public API. If you need to inspect or change code, check whether the tool is open source.

Questions

What should I compare when choosing an active learning tool?

Compare query strategies, human annotation workflow, supported data types, model frameworks, deployment options, platforms and pricing.

Which platforms do active learning tools support?

Listed platforms include Linux, macOS, Windows, self-hosted, web and API. Platform support varies by tool.

Are active learning tools free?

The board distinguishes free plans, free trials and paid options. Check a tool’s pricing details to see which applies.

Do active learning tools have APIs or open-source code?

The board marks public API and open-source availability. Check the marks for the tool you are considering.

Some top positions on this board can be paid placements, standing where they were sold. The facts on each platform are not for sale. How we rank · Disclosure