Skip to main content

FAT Analysis

Alliance Auth plugin for analyzing FATs (Fleet Activity Tracking). This plugin allows for the upload of 30-day and 90-day FAT CSV files, parses them dynamically, and provides overviews and interactive charts on both a per-character and per-corporation basis.

Installation

  1. Activate your Alliance Auth virtual environment

    source /home/allianceserver/venv/auth/bin/activate
    
  2. Install the plugin Navigate to the directory containing this plugin and run:

    pip install -e .
    

    (Or install via git / pip once published to a repository)

  3. Update your Alliance Auth settings Add 'fatanalysis' to your INSTALLED_APPS in myauth/myauth/settings/local.py:

    INSTALLED_APPS += [
        'fatanalysis',
    ]
    
  4. Run migrations

    python manage.py makemigrations
    python manage.py migrate
    
  5. Restart Alliance Auth services

    sudo systemctl restart supervisor
    

    (Or restart gunicorn and celery according to your specific setup)

Permissions

Assign the fatanalysis.basic_access permission in the admin panel to any user or group that should have access to view and upload FAT analysis data.

Release files for aa-fatanalysis 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for aa-fatanalysis 0.1.0
File Size Uploaded
aa_fatanalysis-0.1.0.tar.gz 10.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for aa-fatanalysis 0.1.0
File Interpreter ABI Platform
aa_fatanalysis-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 30.1 kB

Release files / aa_fatanalysis-0.1.0.tar.gz

Download URL aa_fatanalysis-0.1.0.tar.gz
Size 10.6 kB
Tags Source
SHA-256 checksum
How to use checksums
e9f4321e55fceb12c2ea7484ef5b651a480310341a95da7a18bd2c2aaac61d38
BLAKE2b-256 checksum
How to use checksums
54e2a9f7d4a55f9925cc72a14555ccb80fc0e059245a3046da249d0a27c70f34
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 25, 2026.

Transparency log

Release files / aa_fatanalysis-0.1.0-py3-none-any.whl

Download URL aa_fatanalysis-0.1.0-py3-none-any.whl
Size 19.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e162785c96df1723cf4b1cc1062aeb4988c6b13b28ac06357352bd24816e24c0
BLAKE2b-256 checksum
How to use checksums
033cc92ffd97ad7461cdaddeaadcf962e7b3b1e6689b9133c6596e5b29c2f215
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 25, 2026.

Transparency log

Release history Release notifications | RSS feed

0.2.0

2 release files

0.1.1

2 release files

This release

0.1.0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page