scikit-image
No liveness check has reached it yet; it is registered on GitHub and has been in the index since 9 Oct 2026. How this is checked
scikit-image is a free, open-source Python library containing peer-reviewed algorithms for image processing and computer vision. Developers and researchers can use it for image transformation, analysis, segmentation, and feature extraction in Python applications.
Inferred · not functionally tested
Overview
6 featuresPurpose: Processing and analyzing images in Python without building common algorithms from scratch.
Inferred · not functionally tested
Audience: Python developers, researchers, and data scientists
Inferred · not functionally tested
Functions: data_extraction
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Open Source · platforms: WEB · deployment: browser, self_hosted, cli
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: scikit-image.org · github.com. These links do not verify the individual claims.
scikit-image is a Frameworks & SDKs project. Inferred · not functionally tested: It focuses on processing and analyzing images in Python without building common algorithms from scratch. Inferred · not functionally tested: scikit-image is an open-source project aimed at python developers, researchers, and data scientists. Basis unknown · not verified: The project is open source (Open Source). Basis unknown · not verified: It ships for the web and the command line, and it can be self-hosted.
Behind scikit-image is scikit-image contributors, and it first shipped in 2009. Development happens publicly on GitHub with 6.6k stars and 31 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are image processing, image segmentation, and feature extraction.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Image processing
- Image segmentation
- Feature extraction
- Image transformation
- Computer vision algorithms
- Python API
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about scikit-image
- What is scikit-image?
- Inferred · not functionally tested: Scikit-image focuses on processing and analyzing images in Python without building common algorithms from scratch. It is catalogued under Frameworks & SDKs on PulseGate.
- Who is scikit-image for?
- Inferred · not functionally tested: scikit-image is an open-source project built for python developers, researchers, and data scientists.
- Is scikit-image free?
- Basis unknown · not verified: Yes — scikit-image is open source under the Open Source license and free to use.
- What platforms does scikit-image run on?
- Basis unknown · not verified: scikit-image runs on the web and the command line. It can also be self-hosted.
- Is scikit-image still maintained?
- The GitHub repository shows 31 commits in the last 90 days.
- What projects are similar to scikit-image?
- Similar projects tracked by PulseGate include async-matrix-bridge, loyaltydog-mcp, and Page Json.async-matrix-bridgeloyaltydog-mcpPage Json
- Who makes scikit-image?
- scikit-image is developed by scikit-image contributors.
- When did scikit-image launch?
- scikit-image first shipped in 2009.
Also in Frameworks & SDKs
Same category — not a similarity match