rcabench-platform
An experiment framework for Root Cause Analysis (RCA), supporting fast development of RCA algorithms and their evaluation on various datasets.
Installation
To add this package to another uv-managed project:
# Install lightweight SDK (for algorithm/sampler development)
uv add rcabench-platform
# Install with platform-internal tools (kubernetes, neo4j, clickhouse, etc.)
uv add "rcabench-platform[internal]"
# Install with analysis/visualization tools (matplotlib, plotly, etc.)
uv add "rcabench-platform[analysis]"
# Install everything (equivalent to the old monolithic install)
uv add "rcabench-platform[all]"
The base package includes only the SDK core for developing and evaluating RCA algorithms and trace samplers. Use optional dependency groups to install additional functionality:
[internal]— Platform server clients, cloud storage, dataset converters, SDG builder[analysis]— Visualization, statistical analysis, Streamlit dashboards[all]— All of the above
See Package Restructuring Plan for details.
Documentation
- User Guide: Complete guide for using rcabench-platform as both a console command and SDK.
- Development Guide: How to set up the development environment and contribute to this project.
- Specifications: Our design details about RCA algorithms and data formats.
- Workflow References: How to use the functionalities of this project.
- Maintenance: Guidelines for maintaining the project and release procedures.
- Package Restructuring Plan: v3 directory structure, v2→v3 migration guide, and optional dependency groups.
Related Projects
Release files for rcabench-platform 0.4.46
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|---|---|---|---|---|
| rcabench_platform-0.4.46-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.8 MB
Release files / rcabench_platform-0.4.46.tar.gz
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