StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. API Tools
  4. Web Scraping API
  5. ParseHub vs Swift AI

ParseHub vs Swift AI

OverviewComparisonAlternatives

Overview

ParseHub
ParseHub
Stacks32
Followers92
Votes19
Swift AI
Swift AI
Stacks14
Followers52
Votes0

ParseHub vs Swift AI: What are the differences?

  1. Data Extraction: ParseHub is specifically designed for web scraping and data extraction, whereas Swift AI is focused on artificial intelligence and machine learning tasks, not data extraction.
  2. Programming Language: ParseHub provides a user-friendly graphical interface for non-programmers, while Swift AI requires programming in Swift language, primarily targeting developers with coding knowledge.
  3. Functionality: ParseHub focuses on automating web scraping tasks, while Swift AI offers machine learning algorithms and tools for developing AI applications.
  4. Learning Curve: Swift AI may have a steeper learning curve due to its programming language requirement, while ParseHub is more accessible to beginners with its intuitive interface.
  5. Community Support: ParseHub has a larger community and extensive documentation for support, whereas Swift AI may have a smaller community due to its more specialized focus on AI and machine learning tasks.
  6. Target Audience: ParseHub is ideal for web data extraction projects, while Swift AI is tailored for developers working on artificial intelligence and machine learning projects.

In Summary, ParseHub and Swift AI differ in their focus on data extraction vs. AI tasks, accessibility to non-programmers vs. developers, functionality, learning curve, community support, and target audience.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

ParseHub
ParseHub
Swift AI
Swift AI

Web Scraping and Data Extraction ParseHub is a free and powerful web scraping tool. With our advanced web scraper, extracting data is as easy as clicking on the data you need. ParseHub lets you turn any website into a spreadsheet or API w

Swift AI is a high-performance AI and machine learning library written entirely in Swift. We currently support iOS and OS X, with support for more platforms coming soon!

Works with single-page apps, multi-page apps;Uses machine learning for its state-of-the-art relationship engine;Instantly shows sample data as you're working
Feed-Forward Neural Network; Fast Matrix Library
Statistics
Stacks
32
Stacks
14
Followers
92
Followers
52
Votes
19
Votes
0
Pros & Cons
Pros
  • 6
    Great support
  • 5
    Complex websites
  • 5
    Easy setup
  • 3
    Native Desktop App
No community feedback yet
Integrations
No integrations available
Swift
Swift

What are some alternatives to ParseHub, Swift AI?

TensorFlow

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

scikit-learn

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

PyTorch

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

import.io

import.io

import.io is a free web-based platform that puts the power of the machine readable web in your hands. Using our tools you can create an API or crawl an entire website in a fraction of the time of traditional methods, no coding required.

Keras

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

Kubeflow

Kubeflow

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

TensorFlow.js

TensorFlow.js

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

Polyaxon

Polyaxon

An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

ScrapingAnt

ScrapingAnt

Extract data from websites and turn them to API. We will handle all the rotating proxies and Chrome rendering for you. Many specialists have to handle Javascript rendering, headless browser update and maintenance, proxies diversity and rotation. It is a simple API that does all the above for you.

Streamlit

Streamlit

It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

Related Comparisons

Postman
Swagger UI

Postman vs Swagger UI

Mapbox
Google Maps

Google Maps vs Mapbox

Mapbox
Leaflet

Leaflet vs Mapbox vs OpenLayers

Twilio SendGrid
Mailgun

Mailgun vs Mandrill vs SendGrid

Runscope
Postman

Paw vs Postman vs Runscope