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Apple Core ML VS Kite

Compare Apple Core ML VS Kite and see what are their differences

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  3. » Reviews
  4. » Alternatives

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app

Kite logo Kite

Kite helps you write code faster by bringing the web's programming knowledge into your editor.
  • Apple Core ML Landing page
    Landing page //
    2023-06-13
  • Kite Landing page
    Landing page //
    2023-02-10

Apple Core ML videos

+ Add

IBM Watson & Apple Core ML Collaboration - What it means for app development

Kite videos

+ Add

Ozone Alpha V1 2019 kite review

More videos:

  • Tutorial - Kitesurfing - How to Choose The Right North Kiteboarding Kite - REVIEW
  • Review - 2019 Slingshot RPM | REAL Kite Review

Category Popularity

0-100% (relative to Apple Core ML and Kite)

Apple Core ML

Kite

Developer Tools
21 21%
Developer Tools
79% 79
AI
34 34%
AI
66% 66
Software Development
0 0%
Software Development
100% 100
APIs
100 100%
APIs
0% 0

User comments

Share your experience with using Apple Core ML and Kite. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apple Core ML and Kite

Apple Core ML Reviews

We have no reviews of Apple Core ML yet.
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Kite Reviews

Top 10 GitHub Copilot Alternatives
Code more quickly. Maintain your flow. Kite empowers developers by integrating AI-powered code completions into their code editor. The kite can be installed to offer AI-powered code completions to all of your code editors.
Source: hashdork.com
Top 9 GitHub Copilot alternatives to try in 2022 (free and paid)
The last solution in our list is worthy of mention because it is one of the more flexible and user-friendly solutions offered for free. Unfortunately, at the time of writing, Kite is unavailable for download and is not maintained.
Source: www.tabnine.com
Tabnine vs Kite 2021: best AI-Powered Auto-Completion tool?
Kite saves the memory f your computer which means it uses very little memory. If we compare the memory usage analysis of both Kite and TabNine we will come to know that TabNine requires almost 4Gb memory for a project of 10-line code. Whereas kite uses only 550 Mb memory for the same project. It implies that Kite uses almost 85% less memory.
Source: ssiddique.info
I tested all intelligent IDEs (2019 edition)
Until now, suggestions were based on the classes/methods referenced in your code but without taking into account the actual usage of those in the code. Latest versions improve this behavior by providing a new type Line-of-Code completions that incorporate context from code you’ve previously written to power smart completions up to a full line of code. Kite claims this...
Source: livablesoftware.com

Social recommendations and mentions

Based on our record, Apple Core ML seems to be more popular. It has been mentiond 7 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.

Apple Core ML mentions (7)

  • Ask HN: Where is Apple? They seem to be left out of the AI race?
    On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / 4 months ago
  • The Magnitude of the AI Bubble
    Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 6 months ago
  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
  • Apple to occupy 90% of TSMC 3nm capacity in 2023
    > It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / about 1 year ago
  • The iPhone 13 is a pitch-perfect iPhone 12S
    This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: almost 3 years ago
View more

Kite mentions (0)

We have not tracked any mentions of Kite yet. Tracking of Kite recommendations started around Mar 2021.

What are some alternatives?

When comparing Apple Core ML and Kite, you can also consider the following products

Amazon Machine Learning - Machine learning made easy for developers of any skill level

TabNine - TabNine is the all-language autocompleter. We use deep learning to help you write code faster.

TensorFlow Lite - Low-latency inference of on-device ML models

GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.

Visual Studio IntelliCode - Visual Studio IntelliCode is an experimental set of AI-assisted development capabilities for next-generation developer productivity.

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