Apple ARKit
Made With ARKit
Google ARCore
Snap Art
Facebook AR Studio
SketchAR
AirMeasure
Shopify AR
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Apple ARKitBased on our record, NumPy seems to be a lot more popular than Apple ARKit. While we know about 107 links to NumPy, we've tracked only 6 mentions of Apple ARKit. 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.
Apple has quite nice page with docs at the bottom: https://developer.apple.com/augmented-reality/. Source: 11 months ago
Feels like you're grasping at straws to dismiss them. If you think lower weight, not-grainy MR, six years of a public AR SDK, far better computing units, and an existing high-quality software ecosystem are "not noticeable", I'm left wondering what you think is noticeable. Source: about 1 year ago
If you're looking to build a more advanced application, there are plenty of useful resources for all major technologies. For mobile apps, the best places to get started are docs for Google ARCore and Apple ARKit. Both platforms work with popular gaming engines like Unity and Unreal Engine. - Source: dev.to / over 2 years ago
ARKit is Apple's (A)ugmented (R)eality development (K)it. It takes the output from Unity and displays it in the goggles/headset the guy is wearing to see all this. Well, what a camera pointed at the display sees. Source: over 2 years ago
Google and Apple have already released their augmented reality development platforms, ARCore or ARKit, enabling the seamless integration of the digital and physical worlds. - Source: dev.to / over 2 years ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / about 2 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
Made With ARKit - Hand-picked curation of the coolest stuff made with ARKit
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Google ARCore - Google Augmented Reality SDK
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Snap Art - Snap's augmented reality platform
OpenCV - OpenCV is the world's biggest computer vision library
