ADPA (Advanced Data Processing and Analytics) is a comprehensive framework for data processing, analytics, and machine learning tasks. It provides a robust foundation for building scalable, secure, and maintainable data applications.
pip install adpa
from adpa.text2sql import Text2SQLConverter
# Initialize the converter
converter = Text2SQLConverter()
# Convert natural language to SQL
query = "Find all users who joined after 2024"
sql = converter.convert(query)
print(sql)
pip install adpa
# With all features
pip install "adpa[all]"
# With specific features
pip install "adpa[llm,monitoring]"
from adpa.text2sql import Text2SQLConverter
from adpa.database import DatabaseManager
# Initialize components
converter = Text2SQLConverter()
db = DatabaseManager()
# Convert and execute query
query = "Show me sales trends for last month"
sql = converter.convert(query)
results = db.execute(sql)
from adpa.agents import AgentSystem
from adpa.agents.types import Task
# Initialize agent system
agent_system = AgentSystem()
# Create and execute task
task = Task(
description="Analyze user behavior patterns",
data={"timeframe": "last_week"}
)
result = agent_system.execute_task(task)
from adpa.monitoring import Monitor
# Initialize monitoring
monitor = Monitor()
# Track operations
with monitor.track("data_processing"):
# Your code here
pass
# Get metrics
metrics = monitor.get_metrics()
We welcome contributions! Please see our Contributing Guide for details.
# Clone repository
git clone https://github.com/achimdehnert/adpa.git
cd adpa
# Install development dependencies
pip install poetry
poetry install --with dev,test,docs
# Run tests
poetry run pytest
poetry run robot -d results tests/robot/tests/
This project is licensed under the MIT License - see the LICENSE file for details.
FAQs
Advanced Data Processing and Analytics Framework
We found that adpa demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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