Software Alternatives & Reviews

Diggernaut VS Apple Core ML

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

Diggernaut logo Diggernaut

Web scraping is just became easy. Extract any website content and turn it into datasets. No programming skills required.

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app
  • Diggernaut Landing page
    Landing page //
    2023-02-17

Company offering cloud based web scraping and data extraction platform that works not only with HTML pages as data source but also with JS, JSON, XML, documents like iCal, XSLX, XLS, CSV and images. Extracted data kept in the database as dataset which can be downloaded in various formats, retrieved via API or pushed to any other destination upon completion. Integrated with such services like Zapier, Tableau, OSM, Luminati, DeathByCaptcha.

  • Apple Core ML Landing page
    Landing page //
    2023-06-13

Diggernaut

$ Details
freemium $9.99 / Monthly (50000 page requests)

Diggernaut videos

Metroid Samus Returns : Diggernaut Boss Fight

More videos:

  • Tutorial - How to beat Diggernaut | Metroid Samus Returns
  • Review - Metroid: Samus Returns - Diggernaut Escape

Apple Core ML videos

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

Category Popularity

0-100% (relative to Diggernaut and Apple Core ML)
Web Scraping
100 100%
0% 0
Developer Tools
0 0%
100% 100
Data Extraction
100 100%
0% 0
AI
0 0%
100% 100

User comments

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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.

Diggernaut mentions (0)

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

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 / 12 months 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
View more

What are some alternatives?

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

import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.

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

Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.

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

Content Grabber - Content Grabber is an automated web scraping tool.

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