# DigitalSlideArchive/HistomicsTK

<https://repo.masters-masters.com/en/repos/DigitalSlideArchive/HistomicsTK>

[Home](https://repo.masters-masters.com/en) › [DigitalSlideArchive](https://repo.masters-masters.com/en/owners/DigitalSlideArchive) › [HistomicsTK](https://repo.masters-masters.com/en/repos/DigitalSlideArchive/HistomicsTK)

DigitalSlideArchive/HistomicsTK has 492 stars on GitHub. Its RepoMasters card: Alpha tier. A Python toolkit for pathology image analysis algorithms.

| Field | Value |
| --- | --- |
| Owner | [DigitalSlideArchive](https://repo.masters-masters.com/en/owners/DigitalSlideArchive) |
| Stars | 492 |
| Forks | 130 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2015 |
| Topics | computer-vision, medical-image-processing, machine-learning, bioimage-informatics, histology, python, digital-slide-archive |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [DigitalSlideArchive/HistomicsTK](https://github.com/DigitalSlideArchive/HistomicsTK) |

## Repository

A Python toolkit for pathology image analysis algorithms.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
