Software Alternatives, Accelerators & Startups

Pinafore VS Scikit Image

Compare Pinafore VS Scikit Image and see what are their differences

Pinafore logo Pinafore

An alternative web client for Mastodon, focused on speed and simplicity.

Scikit Image logo Scikit Image

scikit-image is a collection of algorithms for image processing.
  • Pinafore Landing page
    Landing page //
    2019-08-27
  • Scikit Image Landing page
    Landing page //
    2023-09-13

Pinafore videos

Seamwork Dani Pinafore Pattern Review & Mayfield Fabrics Vlog

More videos:

  • Review - York Pinafore Sewing Pattern Review
  • Review - Jennifer Lauren Handmade - Ivy Pinafore Sewing Pattern Review

Scikit Image videos

Image analysis in Python with scipy and scikit image 1 | SciPy 2014 | Juan Nunez Iglesias, Tony Yu

Category Popularity

0-100% (relative to Pinafore and Scikit Image)
Twitter Tools
100 100%
0% 0
Data Science And Machine Learning
Social Media Marketing
100 100%
0% 0
Software Libraries
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Pinafore and Scikit Image

Pinafore Reviews

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Scikit Image Reviews

Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
Scikit-Image is an open-source image processing library for the Python programming language. It provides several tools and algorithms for image processing and computer vision applications. Scikit-Image supports several image formats and provides functions for filtering, segmentation, and feature extraction.
Source: www.uubyte.com
Top Python Libraries For Image Processing In 2021
Scikit-Image Scikit-Image is another great open-source image processing library. It is useful in almost any computer vision task. It is among one of the most simple and straightforward libraries. Some parts of this library are written in Cython ( It is a superset of python programming language designed to make python faster as C language). It provides a large number of...

Social recommendations and mentions

Scikit Image might be a bit more popular than Pinafore. We know about 7 links to it since March 2021 and only 7 links to Pinafore. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Pinafore mentions (7)

  • Native Windows client
    For Windows, Whalebird is your go-to since it's in the MS Store. Most of the stuff I've found online as suggestions for Windows are web apps like https://pinafore.social/ or https://elk.zone. Personally, I just use the advanced web view. I need the columns. Source: over 1 year ago
  • Paul Graham is leaving Twitter
    Which instance are you on? Mastodon is decentralized, there may be servers that are overloaded whereas other are fast. Like email. I haven't noticed any big differences in speed, I use both Mastodon for iOS and Pinafore (https://pinafore.social/ ), a PWA. Just add it to your homescreen and it will behave like a native app (and sometime in 2023 Apple has said they will add push notifications to PWAs). - Source: Hacker News / over 1 year ago
  • Fosstodon Hub – More Upgrades
    I continue to see people stumble at mastodon resource requirements when setting up their instance, but I fail to understand why everyone is going for a mastodon instance for their personal use. I am running https://github.com/superseriousbusiness/gotosocial on a micro instance, probably using 100M ram, with a 30M sqlite database. True, I don't have all features. It is pure backend, but I can use... - Source: Hacker News / over 1 year ago
  • Mastodon Client for Windows
    I use https://pinafore.social on windows fine. Source: over 1 year ago
  • Mastodon v4.0.0 Release Candidate
    There are web frontends available where you can sign into your instance, just like you so with a mobile app. For example https://pinafore.social/. - Source: Hacker News / over 1 year ago
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Scikit Image mentions (7)

  • How to Estimate Depth from a Single Image
    We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - Source: dev.to / 2 months ago
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 7 months ago
  • Is it possible to add a noise to an image in python?
    This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel) https://scikit-image.org/. Source: over 1 year ago
  • A CLI that does simple image processing and also generates cool patterns
    Also, don't know if you're familiar with Python, but if you need ideas for to implement for future directions : https://scikit-image.org/. Source: over 1 year ago
  • Color Matrices for scan correction
    There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 2 years ago
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What are some alternatives?

When comparing Pinafore and Scikit Image, you can also consider the following products

Whalebird - Whalebird is a Mastodon client for desktop application.

OpenCV - OpenCV is the world's biggest computer vision library

Twidere - Tired of seeing ads and promotions in your timeline, being disrupted by tweets from bots and people...

Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.

Hyperspace Mastodon client - Hyperspace offers a clean, fast and responsive client for the Mastodon social network

Amazon Rekognition - Add Amazon's advanced image analysis to your applications.