Skip to main content

An experiment framework for Root Cause Analysis

Project description

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rcabench_platform-0.3.37.tar.gz (158.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rcabench_platform-0.3.37-py3-none-any.whl (203.8 kB view details)

Uploaded Python 3

File details

Details for the file rcabench_platform-0.3.37.tar.gz.

File metadata

  • Download URL: rcabench_platform-0.3.37.tar.gz
  • Upload date:
  • Size: 158.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.9.8

File hashes

Hashes for rcabench_platform-0.3.37.tar.gz
Algorithm Hash digest
SHA256 63fbc3b0af45ac58614e1a070c3a6228ba606b49f10283ce50487f9c20444d79
MD5 ad67a7837f8be9c33f0d83d00f0bf9fc
BLAKE2b-256 25b2241ba2d8e7ac2ce4ff3082c9dd7a50d83530ba0bddffb23792dfd3c28570

See more details on using hashes here.

File details

Details for the file rcabench_platform-0.3.37-py3-none-any.whl.

File metadata

File hashes

Hashes for rcabench_platform-0.3.37-py3-none-any.whl
Algorithm Hash digest
SHA256 b6398e8628c22754491c571ac5aedccd7f1ac4500ea7b289f52b598b11d51f1e
MD5 e6f6542e697bbc996a57c7ac8e284006
BLAKE2b-256 3e05d06e2fcf15e9c19178f998dd3e3d6f0c1852fa2a521e4a5ebb3d99733a25

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page