streamparse
Run Python code against real-time data streams using Apache Storm.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is streamparse?
Streamparse is a tool that allows developers to process and analyze real-time streaming data with Python, leveraging the power of Apache Storm for scalability and fault tolerance.
Key differentiator
“Streamparse stands out by providing a Pythonic interface to Apache Storm's powerful real-time data processing capabilities, making it easier for developers familiar with Python to work with complex streaming data.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Streamparse primarily integrates with Apache Storm, limiting its compatibility with newer or alternative stream processing frameworks
GitHub activity shows fewer contributors and lower issue resolution rates compared to more popular data processing tools
Fit analysis
Who is it for?
✓ Best for
Teams needing to process and analyze large volumes of real-time streaming data with Python.
Developers looking to integrate Apache Storm's capabilities into their Python applications.
✕ Not a fit for
Projects that require a managed service for stream processing, as streamparse requires self-hosting.
Applications where the use of Python is not feasible or preferred.
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
Next step
Get Started with streamparse
Step-by-step setup guide with code examples and common gotchas.