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UN

UNI

huggingface.co·Infrastructure

UNI is a large self-supervised vision transformer trained on diverse histology images for feature extraction in computational pathology. Developed by Mahmood Lab at Harvard, it is released under a non-commercial research license and integrates with the timm library. It enables researchers to build accurate models for cancer detection, biomarker prediction, and other medical imaging tasks using transfer learning.

Open SourceWebAPI
UUNI preview
Visit huggingface.co↗
763stars
91forks
1alternative
3features
2024since

Overview

3 features

In the Other AI space, UNI takes a focused approach. It focuses on extracting rich, generalizable features from gigapixel histology images for downstream pathology AI tasks without large labeled datasets. It is built as an open-source project for researchers. UNI is open source under the Open Source license. It runs on the web and API.

MahmoodLab builds and maintains UNI, and it first shipped in 2024. The project is developed in the open on GitHub with 763 stars. Key capabilities include Feature Extraction, histopathology, and Self-supervised Learning.

Summary written by a language model from the project’s public pages.

  • ✓Feature Extraction
  • ✓Histopathology
  • ✓Self-supervised Learning
Tags
pathology-aihistologyself-supervisedvision-transformermedical-imaging
AI capabilities
Image
Inference: LocalWeights: Open

Built with & integrations

Hosting
AWS
Runs on
BrowserAPI-only
Detected from
AWS
x-amz-cf-id header · x-amz-cf-pop header · via header

Trust & compliance

License
Open Source
Verified signals
✓HTTPS✓Privacy Policy✓Terms of Service✓Open Source
Legal
Privacy Policy →Terms of Service →

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed2 Aug · 17:16 UTC
    MahmoodLab/UNI verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about UNI

What is UNI?
UNI focuses on extracting rich, generalizable features from gigapixel histology images for downstream pathology AI tasks without large labeled datasets. It is catalogued under Other AI on PulseGate.
Who is UNI for?
UNI is an open-source project built for researchers.
Does UNI have a free plan?
Yes — UNI is open source under the Open Source license and free to use.
What platforms does UNI run on?
UNI runs on the web and API.
Is UNI still active?
Unverified. UNI has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
Who makes UNI?
UNI is developed by MahmoodLab.
When did UNI launch?
UNI first shipped in 2024.
Is UNI open source?
Yes — UNI is open source under the Open Source license.

At a glance

Pricing
Open Source
Platforms
Web
Languages
English
License
Open Source
Built for
researchers
Model
Open source
Solves
Extracting rich, generalizable features from gigapixel histology images for downstream pathology AI tasks without large labeled datasets.

Registered as

Hugging Face
MahmoodLab/UNI

Developer

MahmoodLab
Small team

Open source

Stars
763
Forks
91
Open issues
32
Last commit
26 Mar 2025
Commits 90d
0
Contributors
5
Authorship
Small team
Default branch
main

Live coverage

Identity confidence
Medium · 70.4
Indexed
2 Aug 2026
Lifecycle
Alive
Last seen
2 Aug 2026
Identity audit (13)
Slug
mahmoodlab-uni-huggingface-co
Lifecycle state recorded
2 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
2 Aug 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Derived from the project's own page and URL.
Category from
Derived from the model's own Hugging Face metadata.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
5 Aug 2026
Canonical URL
https://huggingface.co/MahmoodLab/UNI

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