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-0.3.34rc5.tar.gz (149.4 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-0.3.34rc5-py3-none-any.whl (194.8 kB view details)

Uploaded Python 3

File details

Details for the file rcabench_platform-0.3.34rc5.tar.gz.

File metadata

File hashes

Hashes for rcabench_platform-0.3.34rc5.tar.gz
Algorithm Hash digest
SHA256 ae7fdef508d6fbc0be03c568c6dfceaf8e4468cdf0fc29f0a3e9317812f41508
MD5 c131608a037354fb80a2c8152ea4acb9
BLAKE2b-256 8ec64fb1d9794837b1f37ee154c3d1328fd6d092f99a9ae5193fa0d149759cc1

See more details on using hashes here.

File details

Details for the file rcabench_platform-0.3.34rc5-py3-none-any.whl.

File metadata

File hashes

Hashes for rcabench_platform-0.3.34rc5-py3-none-any.whl
Algorithm Hash digest
SHA256 fd6bb772ae147be278748eec5595fa1d07c8fd76ae6a0579b9c7fb417698b506
MD5 501c048d14c16261af5f77364811dbd0
BLAKE2b-256 e2d5cb4aecb37615715abf565bdbe4122db80426ad7003d46cb3b1a541ded89e

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