
Hoppscotch
Insomnia REST
Postman
RapidAPI for Mac
Requestly
HTTPie
Thunder Client
API Fortress
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
An open sourced free, fast and beautiful API request builder.
Hoppscotch
Scikit ImageBased on our record, Hoppscotch seems to be a lot more popular than Scikit Image. While we know about 102 links to Hoppscotch, 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.
Hoppscotch is open-source, runs in the browser, and does everything I used Postman for. Collections, environments, WebSocket testing โ all there. - Source: dev.to / 4 months ago
TL;DR: For AI-native test generation from specs, try Kusho AI. For the most complete platform with the newest AI Agent Mode, go Postman. For open-source and Git-native workflows, Bruno or Hoppscotch are your best bets. Enterprise teams should evaluate Katalon. Collaboration-first smaller teams will like Testfully. - Source: dev.to / 4 months ago
Enter Hoppscotch, the open-source API development suite thatโs rapidly gaining popularity. Itโs a powerful, lightweight, and beautifully designed tool that challenges the way we think about API testing and collaboration. - Source: dev.to / 8 months ago
Hoppscotch โ Clean, minimal UI that makes testing endpoints quick and distraction-free. Great for when I just want to send a few requests without opening heavy tools. - Source: dev.to / 9 months ago
Hoppscotch is an open source API development ecosystemโโโ https://hoppscotch.io. It is an alternative to Postman, Insomnia. - Source: dev.to / 9 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 / over 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
Insomnia REST - Design, debug, test, and mock APIs locally, on Git, or cloud. Build better APIs collaboratively for the most popular protocols with a devโfriendly UI, built-in automation, and an extensible plugin ecosystem.
OpenCV - OpenCV is the world's biggest computer vision library
Postman - The Collaboration Platform for API Development
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
RapidAPI for Mac - Paw is a REST client for Mac.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.