Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$490 one-time fee
Per seat, available in packs of 5 seats
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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
No
Labeling Automation
Yes
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
Yes
Team Collaboration
No
Training Data Management
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No