Adala
ActiveDescription
Adala is an autonomous data labeling agent framework that uses AI agents to automate data annotation, classification, and quality checks, significantly improving data processing efficiency.
Key Features
- Autonomous agents that iteratively learn data labeling skills from ground truth
- Configurable output constraints with varying flexibility levels per skill
- Flexible runtime system supporting student/teacher architecture patterns
- Works with OpenAI, Claude, Gemini, and OpenRouter-compatible LLMs
- Native Python notebook integration for interactive data processing
- Built-in ClassificationSkill for text sentiment, categorization, and tagging tasks
Use Cases
💡 Automated text classification and sentiment analysis at scale
💡 Data labeling pipelines for training custom ML models
💡 Content moderation and quality assurance for large datasets
💡 Multi-language document categorization using LLM-powered agents
💡 Rapid prototyping of data processing workflows in notebooks
Categories
Quick Start
1. pip install adala
2. export OPENAI_API_KEY='your-key'
3. Create an Agent with StaticEnvironment and ClassificationSkill
4. Call agent.learn(learning_iterations=3, accuracy_threshold=0.95)
5. Run predictions with agent.run(test_df)