This release is a pre-release and may not be stable for production use.
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 basic package
uv add rcabench-platform
# Install with dataset analysis functionality
uv add "rcabench-platform[analysis]"
The analysis extra includes additional dependencies like graphviz and matplotlib needed for the dataset analysis features.
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.
Related Projects
Release files for rcabench-platform 0.3.34rc13
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| rcabench_platform-0.3.34rc13.tar.gz | 153.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rcabench_platform-0.3.34rc13-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 352.6 kB
Release files / rcabench_platform-0.3.34rc13.tar.gz
| Download URL | rcabench_platform-0.3.34rc13.tar.gz |
|---|---|
| Size | 153.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Yes |
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uv/0.8.15
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Release files / rcabench_platform-0.3.34rc13-py3-none-any.whl
| Download URL | rcabench_platform-0.3.34rc13-py3-none-any.whl |
|---|---|
| Size | 199.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.8.15
|
Security for rcabench-platform 0.3.34rc13
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