Android Studio
Xcode
Microsoft Visual Studio
IntelliJ IDEA
VS Code
Sublime Text
PyCharm
Vim
ML Kit (by Google)
ML Showcase
ZIR Semantic Search
ZXing
LeakCanary
Hasty.ai
Bifrost Data Search
Apple Core ML
Android StudioNo features have been listed yet.
Android Studio is recommended for anyone developing Android applications, including individual developers, development teams, students, and educators. It is also well-suited for those who want to leverage Google's developer tools and services in their Android projects.
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Based on our record, Android Studio seems to be a lot more popular than ML Kit (by Google). While we know about 171 links to Android Studio, we've tracked only 9 mentions of ML Kit (by Google). 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.
Don't forget to Download Android Studio and run a test project. - Source: dev.to / 4 months ago
The Android Studio Meerkat Feature Drop (2024.3.2) introduces several developer productivity tools, including enhanced Gemini integration for crash analysis and unit testing. - Source: dev.to / about 1 month ago
1. Download from: https://developer.android.com/studio. - Source: dev.to / about 2 months ago
Download and install Android Studio to emulate or deploy your app on Android devices. - Source: dev.to / 7 months ago
Android Studio is the official **Integrated Development Environment** (IDE) for Android app development. It has an easy-to-use interface, strong tools, and good support from Google. It’s ideal for building, testing, and debugging Android applications. - Source: dev.to / 8 months ago
I was trying to decide on some Flutter side project to exercise some organizations and concepts from the framework and since AI is at hype I did some research and found out about Google Machine Learning kit which is a set of machine learning tools for different tasks such as face detection, text recognition, document digitalization, among other features (you should really check the link above). They're kinda plug... - Source: dev.to / 12 months ago
The biggest difference between the two plugins is the SDK used to recognise the barcodes. The Capacitor Community Barcode Scanner plugin currently uses the ZXing decoder and the Capacitor ML Kit Barcode Scanning plugin uses the ML Kit from Google. Source: about 2 years ago
Assuming you're talking about leveraging the device's the device's Tensor Processing unit for machine learning then there then you're in luck because Google designed the TPU to work extremely well with the machine learning solutions developed by Google such as easy to use SDKs, robust runtimes and APIs ( e.g. - which you probably aren't going to need to touch). If you're a researcher there's plenty of lower level... Source: over 2 years ago
Google's ML Kit https://developers.google.com/ml-kit. Source: almost 3 years ago
Thanks. The name of the ML package is "ML Kit". This one: https://developers.google.com/ml-kit. Source: about 3 years ago
Xcode - Xcode is Apple’s powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.
ML Showcase - A curated collection of machine learning projects
Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.
ZIR Semantic Search - An ML-powered cloud platform for text search
IntelliJ IDEA - Capable and Ergonomic IDE for JVM
ZXing - Barcode Scanner for Android