ShedBox Agent vs Hex

Compare ShedBox Agent with Hex for data analysis and workflows.

Quick Comparison​

Different Approaches to Data​

Hex: Collaborative Notebooks​

Hex provides a modern notebook experience:

• SQL and Python cells
• Real-time collaboration
• Interactive visualizations
• Shareable data apps

ShedBox Agent: Conversational Pipelines​

ShedBox Agent uses natural language:

"Show me weekly revenue trends from Stripe,
broken down by product category"

✓ Connects to Stripe API
✓ Aggregates by week and category
✓ Generates visualization
✓ Creates reusable pipeline

Key Differentiators​

No Code Required​

Work entirely in natural language:

"Join my PostgreSQL customers with Stripe payments
and find high-value customers who churned"

vs Hex requiring SQL:

SELECT c.*, p.total_spent
FROM customers c
JOIN payments p ON c.id = p.customer_id
WHERE p.total_spent > 1000
AND c.status = 'churned'

API-First Data Access​

ShedBox Agent excels at API connections:

data_sources:
  stripe:
    type: rest_api
    url: https://api.stripe.com/v1/charges
    auth:
      type: bearer
      token_env: STRIPE_KEY

  hubspot:
    type: rest_api
    url: https://api.hubspot.com/crm/v3/objects/deals
    auth:
      type: bearer
      token_env: HUBSPOT_KEY

processing:
  join:
    sources: [stripe, hubspot]
    on: customer_email

Portable Pipelines​

Export analyses as standalone YAML—run anywhere:

# Run on any machine
shedboxai run revenue_analysis.yaml

# Schedule with cron
0 8 * * * shedboxai run revenue_analysis.yaml

When to Choose Each​

Choose ShedBox Agent When:​

• Non-technical users need data access
• Connecting to SaaS APIs
• Building automated pipelines
• Portable, version-controlled configs

Choose Hex When:​

• Technical users prefer SQL/Python
• Real-time collaboration is key
• Building internal data apps
• Complex notebook-style exploration

Try ShedBox Agent​

Natural language data analysis for everyone.

Get Started →

Related​

• ShedBox Agent vs Deepnote AI
• ShedBox Agent for Business Analysts