
Pig
Pig is a high-level data flow platform that provides an abstraction over MapReduce for analyzing large datasets using a simplified scripting language called Pig Latin.
https://pig.dev/?ref=aipure

Product Information
Updated:May 15, 2025
Pig Monthly Traffic Trends
Product Pig achieved 34.5K visits with a 176.4% growth in March 2025. The public launch of the Windows automation platform and the introduction of new ambient features in Minecraft likely contributed to this significant increase in traffic.
What is Pig
Apache Pig is a platform developed by Yahoo in 2006 for analyzing large data sets that consists of a high-level programming language (Pig Latin) coupled with infrastructure for evaluating data analysis programs. It serves as an abstraction layer on top of Hadoop MapReduce, allowing users to process and analyze massive datasets without having to write complex MapReduce code in Java. The platform was designed to handle any kind of data (structured, semi-structured and unstructured) and provides a simple SQL-like language that makes data manipulation operations in Hadoop more accessible to developers.
Key Features of Pig
Pig is a modern Windows automation API that helps developers automate desktop applications using AI. It provides a Python SDK that allows developers to control Windows apps programmatically through natural computer interactions like clicking, typing, and taking screenshots. The system is self-hosted by default and includes features for human oversight when needed.
AI-Powered Automation: Uses specialized computer-use AI to automate Windows applications, even those without native APIs
Self-Hosted Architecture: Runs on users' own Windows machines through the Piglet process, providing security and control
Natural Computer Controls: Provides intuitive commands like click(), type(), and screenshot() to control applications naturally
Human-in-the-Loop Capability: Allows seamless transfer between automated and manual control for critical operations
Use Cases of Pig
Legacy Application Integration: Automate older Windows applications that don't have modern APIs or integration capabilities
Process Automation: Build automated workflows for repetitive desktop tasks across multiple applications
AI Agent Development: Create AI agents that can interact with Windows applications for various automation scenarios
Pros
Easy integration through Python SDK
Works with any Windows application
Combines AI capabilities with human oversight
Cons
Limited to Windows platform
Requires local machine setup and configuration
How to Use Pig
Install Pig SDK: Download and install the official Python SDK for Pig from GitHub (pig-dot-dev/pig-python)
Start Piglet Server: Start the Piglet server on your Windows machine using the command: 'piglet --control-host piglet.pig.dev --pig-secret-key SK-YOUR_API_KEY'
Initialize Pig Client: Import and initialize the Pig client in your Python code: 'from pig import Client; client = Client()'
Connect to Machine: Select and connect to a machine using the machine ID: 'machine = client.machines.get("MACHINE_ID")'
Control Desktop: Use built-in tools like screenshot(), click(), and type() to control Windows apps through the connection
Handle Human Oversight: For critical operations, use yield_control() to transfer control to human operators and await_control() to resume automation
Run Agent Loop: Wrap your automation code in a connection context and loop to continuously execute tasks: 'with machine.connect() as conn:'
Pig FAQs
Pig is an API that helps automate Windows applications using AI. It provides tools and SDK to build automations for legacy desktop apps that previously had no API access.
Pig Video
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Analytics of Pig Website
Pig Traffic & Rankings
999
Monthly Visits
-
Global Rank
-
Category Rank
Traffic Trends: Dec 2024-Apr 2025
Pig User Insights
00:00:27
Avg. Visit Duration
2.33
Pages Per Visit
32.67%
User Bounce Rate
Top Regions of Pig
IN: 40.52%
TH: 28.23%
FR: 27.42%
US: 3.82%
Others: NAN%