Petrel
Python tools for Storm topology management and monitoring.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Petrel?
Petrel provides a suite of Python-based tools to write, submit, debug, and monitor Apache Storm topologies. It simplifies the process of working with Storm in pure Python environments.
Key differentiator
“Petrel stands out as the only pure Python toolset for managing and monitoring Apache Storm topologies, offering developers a streamlined workflow within familiar environments.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
Primary integration is with Apache Storm; lacks native support for Spark or Flink
v0.1 to v0.2 migration required rewriting chain definitions, impacting stability and maintenance effort
Few active contributors on GitHub; sparse documentation and example projects
Fit analysis
Who is it for?
✓ Best for
Python developers working with Apache Storm for real-time data processing
Data engineers who need to debug and monitor complex Storm topologies in a Python environment
✕ Not a fit for
Developers looking for a full-stack solution that includes UI/UX design tools
Teams requiring cloud-based managed services for their real-time data processing needs
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with Petrel
Step-by-step setup guide with code examples and common gotchas.