Mocklets is a HTTP-based mock API simulator, which helps simulate APIs for faster parallel development and more comprehensive testing.
Mocklets enables you to stay productive when an API you depend on doesn't exist or isn't complete. It supports testing of edge cases and failure modes that the real API won't reliably produce.
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Based on our record, OpenCV seems to be a lot more popular than Mocklets. While we know about 51 links to OpenCV, we've tracked only 1 mention of Mocklets. 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.
Mocklets - a HTTP-based mock API simulator, which helps simulate APIs for faster parallel development and more comprehensive testing, with lifetime free tier. - Source: dev.to / almost 3 years ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 8 days 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 / 6 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 6 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 10 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 10 months ago
API List - A collective list of APIs. Build something.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Dash 4 - Instant offline access to 150+ API documentation sets
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Mocki - Using Mocki you can create, run and deploy mock services without hassle. Use your mock services to run tests independent of external services, design APIs and remove backend dependencies for your frontend team.
NumPy - NumPy is the fundamental package for scientific computing with Python