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Proxon vs Raindrop Workshop (2026)

A side-by-side comparison of Proxon and Raindrop Workshop on pricing, features, and fit, so you can decide which is right for you.

Last updated: July 16, 2026

Quick answer

Proxon and Raindrop Workshop are both strong choices, but they fit different needs. Choose Proxon if you mainly need auditing all ai applications in use across a large enterprise to identify shadow it risks — its edge is provides comprehensive visibility into both approved and unauthorized ai tool usage. Choose Raindrop Workshop if you need debugging multi-step ai agent workflows to identify logic errors or unexpected behavior — its edge is completely free with no paywalls or usage limits. Proxon starts at On request; Raindrop Workshop starts at Free.

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Proxon logo
Proxon

Full visibility and control over every AI tool in your organization.

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Raindrop Workshop logo
Raindrop Workshop

Debug AI agents locally with open source precision and speed.

PricingPaid
PricingFree
Starts atOn request
Starts atFree
Free tierNo public free tier
Free tierFully free and open source with no feature restrictions
RatingNot yet rated
RatingNot yet rated
Best forAuditing all AI applications in use across a large enterprise to identify shadow IT risks
Best forDebugging multi-step AI agent workflows to identify logic errors or unexpected behavior
Key strengthProvides comprehensive visibility into both approved and unauthorized AI tool usage
Key strengthCompletely free with no paywalls or usage limits
Main drawbackPricing is not publicly available, making it difficult to budget without a sales conversation
Main drawbackAs a newer open source project, documentation and community support may be limited

Features compared

Proxon

  • Automated discovery and inventory of all AI tools across an organization, including shadow AI
  • Ownership assignment and policy binding per AI system
  • Real-time spend tracking and budget attribution for each AI tool
  • Centralized compliance and governance dashboard for IT and security teams

Raindrop Workshop

  • Local, offline AI agent debugging with no data sent to external servers
  • Step-by-step trace inspection for agentic reasoning and tool-use pipelines
  • Open source codebase that developers can customize and extend
  • Lightweight setup designed to integrate into existing AI development workflows

Pros & cons

Proxon

Pros

  • Provides comprehensive visibility into both approved and unauthorized AI tool usage
  • Directly links AI tools to owners, policies, and costs for clear accountability
  • Designed specifically for enterprise security and IT governance workflows

Cons

  • Pricing is not publicly available, making it difficult to budget without a sales conversation
  • May require significant onboarding effort to fully integrate with existing IT infrastructure

Raindrop Workshop

Pros

  • Completely free with no paywalls or usage limits
  • Local execution keeps sensitive data private and secure
  • Open source transparency allows developers to audit and modify the tool

Cons

  • As a newer open source project, documentation and community support may be limited
  • Lacks cloud-based collaboration features that hosted debugging platforms offer

The verdict

Choose Proxon if

you mainly need to auditing all ai applications in use across a large enterprise to identify shadow it risks. Its edge: provides comprehensive visibility into both approved and unauthorized ai tool usage.

Choose Raindrop Workshop if

you mainly need to debugging multi-step ai agent workflows to identify logic errors or unexpected behavior. Its edge: completely free with no paywalls or usage limits.

Frequently asked questions

Is Proxon better than Raindrop Workshop?

Neither is universally better. Proxon is stronger for auditing all ai applications in use across a large enterprise to identify shadow it risks, with an edge in provides comprehensive visibility into both approved and unauthorized ai tool usage. Raindrop Workshop is stronger for debugging multi-step ai agent workflows to identify logic errors or unexpected behavior, with an edge in completely free with no paywalls or usage limits. Pick based on your main task.

Which is cheaper, Proxon or Raindrop Workshop?

Proxon starts at On request and Raindrop Workshop starts at Free. Free tier: Proxon — No public free tier; Raindrop Workshop — Fully free and open source with no feature restrictions.

What is Proxon best for?

Proxon is best for auditing all ai applications in use across a large enterprise to identify shadow it risks, enforcing ai usage policies and mapping each tool to a responsible owner, tracking and controlling ai-related software spend across business units.

What is Raindrop Workshop best for?

Raindrop Workshop is best for debugging multi-step ai agent workflows to identify logic errors or unexpected behavior, inspecting tool-calling sequences in llm-based autonomous agents, developing and testing new agent architectures in a privacy-safe local environment.

Do Proxon and Raindrop Workshop have free plans?

Proxon: No public free tier. Raindrop Workshop: Fully free and open source with no feature restrictions. Check each tool's pricing page for current limits, as plans change.