No BundlePhobia videos yet. You could help us improve this page by suggesting one.
OpenCV might be a bit more popular than BundlePhobia. We know about 50 links to it since March 2021 and only 50 links to BundlePhobia. 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.
So, before adding a dependency to your projects, ask yourself if you truly need it and check how much a package weighs. If you would like to go through cleaning up process, I wrote an article on optimizing Next.js bundle size on my private blog. - Source: dev.to / 7 months ago
🔴 https://bundlephobia.com/ - estimate a footprint, basically how many Kb will be added to your bundle when you add this dependency to your project. Those may differ a lot, try comparing say - dayjs vs momentjs ;. - Source: dev.to / 8 months ago
I have phobia of dependencies and package sizes, so tiptap is 62KB and remirror is 150KB. Not much difference, since difference is no in MB's. Source: 8 months ago
External packages increase your app bundle size (you can calculate this using BundlePhobia), so adding a third-party package for every development requirement isn’t always a good choice. Also, third-party packages may not completely fulfill your design requirements and may bring features that you don’t even use. Writing your own stepper component is also an option by including only the required features. - Source: dev.to / about 1 year ago
For web projects, there is a great tool to determine package sizes: Bundlephobia. Of course, server-side rendering and tree shaking might reduce the size, but this needs to be always verified. - Source: dev.to / about 1 year 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
bundlejs - A quick and easy way to bundle, minify, and compress (gzip and brotli) your ts, js, jsx and npm projects all online, with the bundle file size.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
JavaScript.com - A free resource for learning and developing in JavaScript
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
aijs.rocks - A collection of AI-powered JavaScript apps
NumPy - NumPy is the fundamental package for scientific computing with Python