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CSP (Composable Stream Processing) is a library for high-performance real-time event stream processing in Python.
- Powerful C++ Engine: Execute the graph using CSP's C++ Graph Processing Engine
- Simulation (i.e., offline) mode: Test workflows on historical data and quickly move to real-time data in deployment
- Infrastructure-agnostic: Connect to any data format or storage database, using built-in (Parquet, Kafka, etc.) or custom adapters
- Highly-customizable: Write your own input and output adapters for any data/storage formats, and real-time adapters for specific workflows
- PyData interoperability: Use your favorite libraries from the Scientific Python Ecosystem for numerical and statistical computations
- Functional/declarative style: Write concise and composable code for stream processing by building graphs in Python
- Install CSP and write your first CSP program
- Learn more about nodes, graphs, and execution modes
- Learn to extend CSP with adapters
Tip
Find relevant docs with GitHub’s search function, use repo:Point72/csp type:wiki <search terms> to search the documentation Wiki Pages.
- Contribute to CSP and help improve the project
- Read about future plans in the project roadmap
CSP is licensed under the Apache 2.0 license. See the LICENSE file for details.