
Ruby on Rails
Django
Laravel
ASP.NET
ExpressJS
Flask
Node.js
CodeIgniter
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
We recommend LibHunt Ruby for discovery and comparisons of trending Ruby projects. Also, to find more open-source ruby alternatives, you can check out libhunt.com/r/rails
Ruby on Rails
Scikit ImageBased on our record, Ruby on Rails seems to be a lot more popular than Scikit Image. While we know about 151 links to Ruby on Rails, we've tracked only 7 mentions of Scikit Image. 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.
Phoenix is a framework for Elixir, the same way Rails is a framework for Ruby. Its mission is to be a productive framework that doesn't compromise on speed or maintainability. - Source: dev.to / 3 months ago
Laravel, Rails, and Django remain the most battle-tested full-stack frameworks in 2026. - Source: dev.to / 5 months ago
"Empty barrels always make the most sound" says my co-national Alborosie in Poser, and I thought this would not apply to DHH, the creator of Ruby on Rails, because he is not only noisy about his opinions, he is friggin loud as f***. - Source: dev.to / 6 months ago
Kamal is a deployment tool created by DHH, the creator of Ruby on Rails. As stated in their website:. - Source: dev.to / 6 months ago
Django needs a marketing push. I opened the website and immediately it smells like a 2011 web framework. Like CakePHP. Like Zend. Like Kohana. The site makes the project feel extremely dated, which of course I have no idea how true that is, I've never used Django! Just my 2c from an outsider. I compare it to Phoenix and Rails. (again, talking PURELY marketing here dudes!) https://www.phoenixframework.org/... - Source: Hacker News / 8 months ago
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 / about 2 years ago
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 / over 2 years ago
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 3 years ago
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: almost 4 years ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 4 years ago
Django - The Web framework for perfectionists with deadlines
OpenCV - OpenCV is the world's biggest computer vision library
Laravel - A PHP Framework For Web Artisans
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
ASP.NET - ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.