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What is scikit-image?
Scikit-image is a comprehensive collection of algorithms tailored for various image processing applications. This library is freely available and without limitations, showcasing our dedication to quality through peer-reviewed code produced by a committed group of volunteers. It provides a versatile range of image processing capabilities within the Python programming environment. The development process is collaborative and open to anyone who wishes to contribute to the library's advancement. Scikit-image aims to be the go-to library for scientific image analysis in the Python ecosystem, emphasizing user-friendliness and seamless installation to encourage widespread use. Additionally, we carefully evaluate the addition of new dependencies, often opting to remove or make existing ones optional as needed. Each function in our API is equipped with detailed docstrings that specify the expected inputs and outputs clearly. Moreover, arguments that share conceptual relevance are consistently named and positioned in a coherent manner within the function signatures. Our commitment to quality is evident in our nearly 100% test coverage, with every code submission thoroughly reviewed by at least two core developers before being integrated into the library. This rigorous process ensures that the library maintains high standards of robustness. Ultimately, scikit-image not only facilitates scientific image analysis but also actively promotes community involvement to enhance its capabilities. The library's ongoing development reflects the collective effort and passion of its contributors.
What is Libpixel?
This image processing solution offers a remarkably simple method that can save you significant time during development. We manage your image requests promptly and only require the original files to begin. To resize images to particular dimensions or modify them in various ways, you can easily append the necessary parameters to the URL. For example, if you need an image resized to occupy a 200 x 200 pixel space, you just need to formulate the correct URL. We understand that many organizations encounter unique hurdles, especially due to compliance requirements, which may limit their ability to utilize publicly accessible image processing services. Our primary aim is to process and deliver images efficiently; therefore, if your requirements extend to cloud storage or file sharing, we might not be the ideal choice. To crop an image successfully, you only need to specify four essential parameters: the x and y coordinates for the top left corner of the cropping area, along with the width and height of the desired rectangle. This efficient method guarantees that you receive exactly the images you want without any unnecessary complexities. Additionally, our user-friendly interface makes it easy for anyone to navigate and utilize the service effectively.
Integrations Supported
Akira AI
Cython
Label Studio
MLReef
PostgresML
Python
Yamak.ai
Yandex Data Proc
ZenML
Integrations Supported
Akira AI
Cython
Label Studio
MLReef
PostgresML
Python
Yamak.ai
Yandex Data Proc
ZenML
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
$ 15 Per month
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
scikit-image
Company Location
United States
Company Website
scikit-image.org
Company Facts
Organization Name
Libpixel
Company Website
www.libpixel.com