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Description
AppleScript is a scripting language developed by Apple that empowers users to control both scriptable Macintosh applications and various components of macOS directly. It enables the creation of scripts, which are sets of written instructions designed to automate repetitive tasks, merge features from different scriptable applications, and construct intricate workflows. The 2.0 version of AppleScript is compatible with scripts created for any earlier version from 1.1 to 1.10.7, as well as any scripting addition made for AppleScript 1.5 or newer in macOS and any scriptable application from Mac OS v7.1 onward. A scriptable application is defined as one that can be manipulated through a script, meaning it can respond to inter-application messages, known as Apple events, that are sent when a script command is aimed at it. Although AppleScript itself offers a limited set of commands, it establishes a framework that allows the integration of numerous task-specific commands supplied by both scriptable applications and the scriptable components of macOS. This flexibility makes AppleScript a valuable tool for enhancing productivity and streamlining various computing tasks.
Description
Revolutionary machine teaching is here with an exceptionally efficient annotation tool driven by active learning. Prodigy serves as a customizable annotation platform so effective that data scientists can handle the annotation process themselves, paving the way for rapid iteration. The advancements in today's transfer learning technologies allow for the training of high-quality models using minimal examples. By utilizing Prodigy, you can fully leverage contemporary machine learning techniques, embracing a more flexible method for data gathering. This will enable you to accelerate your workflow, gain greater autonomy, and deliver significantly more successful projects. Prodigy merges cutting-edge insights from the realms of machine learning and user experience design. Its ongoing active learning framework ensures that you only need to annotate those examples the model is uncertain about. The web application is not only powerful and extensible but also adheres to the latest user experience standards. The brilliance lies in its straightforward design: it encourages you to concentrate on one decision at a time, keeping you actively engaged – akin to a swipe-right approach for data. Additionally, this streamlined process fosters a more enjoyable and effective annotation experience overall.
API Access
Has API
API Access
Has API
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$490 one-time fee
Per seat, available in packs of 5 seats
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Apple
Founded
1976
Country
United States
Website
developer.apple.com/library/archive/documentation/AppleScript/Conceptual/AppleScriptLangGuide/introduction/ASLR_intro.html
Vendor Details
Company Name
Explosion
Founded
2016
Country
Germany
Website
prodi.gy/
Product Features
Product Features
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization