Remex.dev
Integration Tools

Built-in Tools

Our platform integrates seamlessly with your favorite programming languages and development tools, making data analytics implementation straightforward and efficient.

Built-in Tools Workflow

Supported Languages & Frameworks

Data Processing

  • Python (Pandas, NumPy)
  • R (tidyverse)
  • SQL (Various dialects)
  • Scala (Spark)

Web Integration

  • JavaScript/TypeScript
  • React/Next.js
  • Node.js
  • GraphQL

Key Integration Features

API Integration

RESTful and GraphQL APIs with comprehensive documentation and client libraries

SDK Support

Native SDKs for major programming languages with example code and tutorials

Custom Plugins

Extensible plugin architecture for custom integrations and workflows

Quick Start Example

# Python Example
from remex import Analytics

# Initialize the client
analytics = Analytics(api_key="your-api-key")

# Process and analyze data
results = analytics.process_data(
    source="your_data_source",
    transformations=[
        {"type": "clean", "columns": ["revenue", "costs"]},
        {"type": "aggregate", "by": "department"}
    ]
)

# Visualize results
analytics.create_dashboard(
    data=results,
    charts=["revenue_trend", "cost_analysis"]
)