scikit-image.org — September 2026 traffic, keywords & AI visibility

Search engines send scikit-image.org an estimated 13,200 visits a month. Effectively all of it is organic — about 13,200 visits from unpaid results. Spread across 658 ranking keywords, that averages roughly 20 organic visits per keyword.

scikit-image.org scores 78 out of 100 on our AI visibility scale, grade B. It takes full marks for LLMS.txt. The biggest gap is Company profile, at 16 of 25 points (5/8 core fields), worth 9 points if closed. It also loses points on Crawlability (5/10), Structured data (0/5) and SEO health (17/20).

The llms.txt on scikit-image.org runs to 130 lines (5,162 characters) across 12 sections, last generated in September 2026. It introduces the site as "scikit-image: Image processing in Python — scikit-image". It tells AI engines the business works in Software & Internet; AI, Data & Automation; and Image Processing. It describes 3 products, with prices such as scikit-image core at Free, scikit-image filters at Free and scikit-image segmentation at Free. Technologies it mentions include Python, NumPy and SciPy. The keywords it claims start with "image processing", "python", "computer vision" and "numpy".

# scikit-image: Image processing in Python — scikit-image

## About
scikit-image started as a practical way for Python users to handle everyday image tasks without jumping through hoops. The library grew out of the need for clean, well-documented tools that work alongside NumPy and SciPy. Over time it picked up contributors who cared about keeping the code readable and the API consistent. People use it for everything from simple resizing to more involved segmentation work in research labs. The focus stays on making common operations straightforward rather than chasing every new algorithm. Documentation and examples get regular attention so newcomers can get results quickly. It slots into existing workflows without forcing users to rewrite their pipelines. Many academic groups and small teams rely on it because the license keeps things open. Updates tend to come from people who actually run the code on their own data. The project avoids heavy dependencies so installation stays light.

**Areas of Work:** Software & Internet, AI, Data & Automation, Image Processing

## Things to Remember
- **Website:** https://scikit-image.org
- **Address:** 
- **Contact:** 
- **Phone:** 
- **Hours:** 
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- **Company Type:** Private
- **Employees:** 
- **Revenue:** Not Disclosed
- **Hiring Status:** Not currently hiring

## Products
- **scikit-image core** (Free): Co

Google lists scikit-image.org for about 658 keywords, which together bring an estimated 13,200 organic visits a month.

The latest technical audit of scikit-image.org scored 86 out of 100 overall. Accessibility is its weakest area at 65, while performance scores highest at 99. The audit makes 12 recommendations in all, and 3 of the 4 listed first are rated high priority or critical.

scikit-image's company profile names opencv.org, pillow.readthedocs.io, scipy.org and simpleitk.org as competitors. Its own llms.txt adds mahotas.readthedocs.io and skimage.org. Outside its market, the domains ranked closest to it in our worldwide ranking are kros.sk, ummi.ac.id, promokod.com and fasecolda.com.

opencv.org

pillow.readthedocs.io

scipy.org

simpleitk.org

mahotas.readthedocs.io

skimage.org