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Now with Claude Code Integration

AI-Powered Data Pipelines, Simplified

Transform complex data workflows into simple YAML. Connect any data source, process with AI, and deploy in minutes, not months.

Get Started→View Examples
config.yaml
data_sources:
  customers:
    type: csv
    path: customers.csv

ai_interface:
  prompts:
    insights:
      system: "You are a data analyst"
      user_template: "Analyze: {{customers}}"

output:
  type: file
  path: insights.md

Why teams choose ShedBoxAI

10x
Faster pipeline development
80+
Built-in operations
5min
To first working pipeline
Features

Everything you need to build data pipelines

From simple CSV processing to complex multi-source AI workflows, ShedBoxAI handles it all

⚙️

Configuration-Driven

Define your entire pipeline in YAML. No coding required — just declare data sources, processing steps, and outputs.

🤖

AI Model Integration

Native support for Claude, OpenAI, and custom APIs. Batch processing and parallel execution included.

🔗

Multi-Source Connectivity

CSV, JSON, REST APIs, and text files with enterprise-grade authentication and automatic retry handling.

⚡

80+ Operations

Filtering, format conversion, summarization, relationships, templating, and more built-in functions.

🔒

Enterprise Security

Multi-stage authentication, secure credential handling, and comprehensive error recovery.

🔍

Smart Introspection

Auto-detect schemas, analyze sample data, and generate documentation from a single command.

Claude Code Integration

Let AI write your pipelines

The only data framework that generates configurations for you. Just describe what you want in plain English.

1

Describe

Tell Claude what you want in plain English

→
2

Analyze

Claude introspects your data sources

→
3

Generate

Get a working YAML config instantly

Analyze my customer CSV and create a pipeline that filters active users over 25, then generates AI insights about their behavior
→
Generated config
data_sources:
  customers: { type: csv, path: customers.csv }
processing:
  filter: { field: age, condition: "> 25" }
ai_interface:
  prompts:
    analysis: "Analyze: {{customers}}"
Try with Claude Code→

Build complex pipelines without learning YAML syntax

Why ShedBoxAI

Built for modern data teams

🤖

AI-First

The only data pipeline tool with Claude Code integration for automated configuration generation

⚡

10x Faster

What takes 2-4 hours manually becomes 5-10 minutes with AI-assisted pipeline creation

🏢

Enterprise Ready

Production-grade security, authentication, and error handling trusted by data teams

Quick Start

Up and running in 3 steps

1

Install

pip install shedboxai
2

Configure

Create config.yaml
3

Run

shedboxai run config.yaml
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