Frameworks

ScreenSuite

A shared evaluation harness for GUI-model perception, offline action prediction and multi-step interaction, using simple smolagents-based agents across existing benchmarks.

AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.

Original source ↗Read as MarkdownRecord JSON

What is this resource?

Resource type
Frameworks
Environment
web, android, desktop
Topics
evaluation, grounding, action-prediction
Record publication date
Not recorded
Evidence retrieved
2026-10-17T09:12:13Z
Resource ID
github:huggingface/screensuite

What licenses are recorded?

Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.

Code
Apache-2.0 (Inspected repository LICENSE; not a license for linked benchmark datasets, pretrained weights or services.)
Data
Not recorded
Document
Not recorded
Weights
Not recorded

License review notes

Recorded specifications

availability
Public benchmark-adapter source and running instructions.
repository revision
9ceda5070d5664dd9376d5f8e7b43f02188e01ff

Explore related topics

EvaluationGUI groundingAction prediction

Scope and limitations

The publisher states that the suite compares the underlying multimodal models rather than full agent implementations. Public source includes benchmark adapters and registry code. Multi-step environments require Docker and KVM; constituent datasets, remote model services and OSWorld account-dependent tasks retain their own setup and terms. Apache-2.0 is scoped to this repository code.

Primary evidence and verification

Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.

  1. editorial primary review

    Retrieved 2026-10-17T09:12:13Z. Supports: name, kind, summary, environments, topics, scope, notes, relations, details.

    Content fingerprintedcaa6f8355be6a8774ebeeb9bdb67648e8eeddb813d6be0fa2433116d9def36
  2. editorial primary review

    Retrieved 2026-10-17T09:12:12Z. Supports: identity.

    Content fingerprinte372458e48d0ebbbe0f7887b66e2d5bb4db612fd96db4dc53404c0319891f7e8
  3. editorial primary review

    Retrieved 2026-10-17T09:14:05Z. Supports: release_status.

    Content fingerprint93b685a13bfba4d9569dbfc0418de93c7b9f8a3f7c101af053aadeebbdf8b2c0
  4. editorial primary review

    Retrieved 2026-10-17T09:14:06Z. Supports: licenses.code.

    Content fingerprintc71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4

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