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Analytics package for eve online

Project description

eve-analytics

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eve-analytics is a Python package for parsing EVE Online combat logs and turning them into structured data and visual diagrams.

It helps you go from raw .txt logs → usable datasets → insights about fights, fleets, and pilot activity.

The package utilizing a SQLite DB to store log data and integrate Eve Online SDE.


Features

  • Parse EVE combat log files into structured data
    • json & dfs
  • Aggregate events like:
    • Damage (dmg)
    • Neutralizers / Nosferatu (neut, nos)
    • Repairs (reps, cap_reps)
    • Electronic warfare (jams, scrams)
    • Drones, reloads, links, and more
  • Build datasets for analysis and visualization
  • Designed to support diagram generation (fleet and pilot diagrams, timelines, etc.)

Installation

pip install eve-analytics

Quick Start

from eve_analytics import EveAnalytics

ea = EveAnalytics(log_directory="/path/to/logs")
ea.parse_logs()
ea.load_db()
ea.generate_analytics('a_match_id')
ea.save_analytics(save_dir="/path/to/save")

Setting the Log Directory

You can initialize with a directory:

ea = EveAnalytics(log_directory="/path/to/logs")

Or set it later:

ea = EveAnalytics()
ea.set_log_directory("/path/to/logs")

Supported Log Data

Each parsed log may include:

  • dmg — damage events
  • reps — repair events
  • neut / nos — capacitor warfare
  • jams — ECM events
  • scrams — tackle events
  • drones — drone activity
  • reloads — weapon reloads
  • links — command bursts
  • cap_warning — capacitor warnings
  • skipped — unparsed/ignored lines

Error Handling

The package includes custom exceptions:

  • LogLocationError — invalid directory path
  • LogDirectoryNotSetError — parsing attempted without setting a directory
  • MissingSDEError -- sde files are missing

Project Structure

eve_analytics/
├── ingest/
│   └── splicer.py
├── exceptions/
│   └── file_errors.py
├── __init__.py

Roadmap

  • Diagram generation (timeline / fleet engagement visuals)
  • Aggregated fight summaries
  • Pilot-level statistics
  • Export to CSV / Pandas DataFrames
  • Visualization integrations (matplotlib / web UI)

Contributing

Contributions are welcome. Open an issue or submit a PR.


License

MIT License


Disclaimer

EveAnalytics is a third-party tool and is not affiliated with CCP Games or EVE Online.

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