Apple Core ML VS Evidently AI

Apple Core ML

Integrate a broad variety of ML model types into your app

Evidently AI

Open-source monitoring for machine learning models

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2023-06-13

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2023-08-19

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

Evidently AI videos

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How to Monitor Machine Learning Models (Evidently AI)

Category Popularity

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

Evidently AI

Developer Tools

46 46%

Developer Tools

54% 54

AI

39 39%

AI

61% 61

APIs

100 100%

APIs

0% 0

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

User comments

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

Social recommendations and mentions

Based on our record, Apple Core ML should be more popular than Evidently AI. 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 / 2 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 / 4 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: 12 months 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: over 2 years ago

Evidently AI mentions (2)

[D] Using MLFlow for model performance tracking
It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: almost 2 years ago
Five Data Quality Tools You Should Know
Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago