Compare AI products

Compare research use, compute requirements, licence conditions and evidence alongside product specifications.

Popular Benchmark Comparisons:

Showing up to 60 matches. Search to find more products.

Open Product Finder · View Benchmark Leaderboard ↗

Compare the same version, region and billing basis. Missing information does not mean a feature is absent. Verify prices and availability with the source.
Attribute
Research Imaging & Microscopy

QuPath

University of Edinburgh
Choose a productChoose a product
CategoryResearch Imaging & Microscopy
CompanyUniversity of Edinburgh
PriceFree Open Source
StatusStatus not confirmed
AvailabilityAvailable for Windows, macOS, and Linux
Last checked20/09/2026
FeaturesHigh-performance whole-slide image viewing and annotation across gigapixel files, Machine learning tissue classification (tumor vs stroma vs necrosis), Integration with StarDist and Cellpose for deep learning cell and nuclear segmentation, Extensive scripting API in Groovy and Python for automated cohort analysis
Entry typeOpen Source Software
Access modeOpen Source
AI roleDeep Learning Image Segmentation
Input dataNot recorded
Output dataNot recorded
Licence conditionsGPL-3.0
Commercial eligibilityPermissive open source release
Compute requirementsStandard desktop / workstation (multi-core CPU, optional GPU for deep learning)
ValidationNot recorded
TypeDigital pathology bioimage analysis platform
Intended useNot recorded
CompatibilityNot recorded
ManufacturerUniversity of Edinburgh (Bankhead Lab)
Biological applicationOncology biomarker quantification, spatial histology analysis, and clinical trials
Research workflowWhole-slide image -> cell segmentation -> phenotyping -> spatial biomarker scoring
Evidence levelPeer-reviewed research (Scientific Reports 2017) with thousands of citations
Integration evidencehttps://qupath.github.io
Laboratory handoffCorrelates histological features with genomic data and patient survival curves