React Native
jQuery
Flutter.dev
Babel
OpenSSL
Composer
Raven.js
Symfony
OpenCV
Scikit-learn
Pandas
NumPy
Dataiku
Exploratory
htm.java
WEKA
React Native OpenCVBased on our record, React Native should be more popular than OpenCV. It has been mentiond 212 times since March 2021. 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.
Recently, there has been a notable shift in mobile application development practices. Rather than creating separate applications for each native platform, many developers are opting for hybrid mobile frameworks like React Native. - Source: dev.to / 28 days ago
React Native [ https://reactnative.dev/ ]. - Source: dev.to / about 1 month ago
Versatility: JavaScript is not limited to web browsers. It's used in a variety of environments, including mobile app development (using frameworks like React Native), game development (using libraries like Phaser), and even serverless computing (using platforms like AWS Lambda). - Source: dev.to / about 1 month ago
In the competitive landscape of mobile app development, user experience (UX) has emerged as a critical differentiator. React Native, with its robust framework and versatile capabilities, offers developers a powerful toolkit to create seamless and engaging user experiences. This blog post delves into the design principles and best practices in React Native app development, uncovering how developers can elevate user... - Source: dev.to / about 1 month ago
You can find the React Native documentation here and Flutter Documentation here. - Source: dev.to / about 1 month 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 / 5 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: 5 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 9 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: 9 months ago
You also need C++ if you're going to do things which aren't built in as part of the engine. As an example if you're looking at using compute shaders, inbuilt native APIs such as a mobile phone's location services, or a third-party library such as OpenCV, then you're going to need C++. Source: 11 months ago
jQuery - The Write Less, Do More, JavaScript Library.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Flutter.dev - Build beautiful native apps in record time 🚀
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Babel - Babel is a compiler for writing next generation JavaScript.
NumPy - NumPy is the fundamental package for scientific computing with Python
