Skip to main content

ELIANA (Event Log and Incident Analysis), a log analysis library developed at the Paranal Observatory

Project description

ELIANA Library

ELIANA (Event Log and Incident Analysis) is a software log analysis library developed at the Paranal Observatory. It is designed to facilitate the analysis and understanding of logs generated by the software operating instruments and telescopes. The library provides a variety of functionalities, including a dataset generator class based on Pandas, a public logs dataset, a log tokenizer, and a statistical anomaly detection module.

Features

Dataset: A set of dataset generator classes built on top of Pandas to help create and manage event log datasets and its metadata. It includes access to parlogs-observations, a publicly available dataset consisting of event logs from instruments and telescopes.

Log Tokenizer: A utility for tokenizing log messages, enabling efficient parsing and analysis of log content.

Statistical Anomaly Detection: A module designed to identify anomalies in log data through statistical analysis, useful for detecting irregularities or incidents.

Install

pip install eliana

Getting Started

Start at notebooks/01-overview.ipynb in Notebooks directory.

Contribute

You are welcome to test and send your comments to maintaner team:

License

BSD 3-Clause License, see attached license file.

Project details


Download files

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

Source Distribution

eliana-0.1.0.tar.gz (29.5 kB view details)

Uploaded Source

Built Distribution

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

eliana-0.1.0-py3-none-any.whl (34.0 kB view details)

Uploaded Python 3

File details

Details for the file eliana-0.1.0.tar.gz.

File metadata

  • Download URL: eliana-0.1.0.tar.gz
  • Upload date:
  • Size: 29.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.9

File hashes

Hashes for eliana-0.1.0.tar.gz
Algorithm Hash digest
SHA256 859347b8845bcc9ec47013f904f36daec031e594b86fbcd6746226a0d93d8919
MD5 dd3ee977c5fb4952c6cb4320c7a4d10b
BLAKE2b-256 b2834eef9813a5ef7d1e977131dbdfacd969dba770010b3d1b34b5b05aa547a2

See more details on using hashes here.

File details

Details for the file eliana-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: eliana-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 34.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.9

File hashes

Hashes for eliana-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3a71769d6fc56937146f7be509ea8d4e45af54ba721dcacff7341dfb7b0d34d4
MD5 9a06833c05143a03d4e592eb5b2a2dc2
BLAKE2b-256 990287a881063690f15df28723add4d7bc2c468a2ebaf074a9871e41c555d3fa

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