Algomancy 0.7.0

A dashboarding framework for visualizing performances of algorithms or simulations in various scenarios.

Algomancy

Algomancy is a lightweight framework for building interactive dashboards that visualize the performance of algorithms and/or simulations across scenarios. It brings together ETL, scenario orchestration, KPI computation, and a Dash-based UI with modular pages.

Highlights

• Python 3.14+
• Dash UI with modular pages and a production-ready server
• Batteries-included packages: content, data, scenario, GUI, CLI

Installation

• Using uv (recommended):

  uv add algomancy
  

• Using pip:

  pip install algomancy
  

Minimal example

The following example launches a small placeholder dashboard using the default building blocks from the Algomancy ecosystem. Copy this into a file called main.py and run it.

Set up folder structure

1. Create the following directory structure:

root/
|── assets/ (*)
├── data/   (*)
├── src/
│   ├── data_handling/
│   ├── pages/
│   └── templates/
│       ├── kpi/
│       └── algorithm/
├── main.py  (*)
├── README.md
└── pyproject.toml

Only the items marked (*) are required.

2. create main.py

from algomancy_data import DataSource
from algomancy_gui.configuration.appconfig import AppConfig
from algomancy_gui.configuration.serverconfig import ServerConfig
from algomancy_gui.gui_launcher import GuiLauncher
from algomancy_scenario.core_configuration import CoreConfig
from algomancy_content import (
  PlaceholderETLFactory,
  PlaceholderAlgorithm,
  PlaceholderKPI,
  PlaceholderSchema,
)


def main() -> None:
  app_cfg = AppConfig(
    core_config=CoreConfig(
      etl_factory=PlaceholderETLFactory,
      kpi_templates={"placeholder": PlaceholderKPI},
      algo_templates={"placeholder": PlaceholderAlgorithm},
      schemas=[PlaceholderSchema()],
      data_object_type=DataSource,
      autocreate=False,
      autorun=False,
      title="My Algomancy Dashboard",
    ),
    server_config=ServerConfig(host="127.0.0.1", port=8050),
  )

  app = GuiLauncher.build(app_cfg)
  GuiLauncher.run(app=app, host=app_cfg.server.host, port=app_cfg.server.port)


if __name__ == "__main__":
  main()

Run

• Save the file as main.py and start the app:

  uv run main.py
  

• Open your browser at http://127.0.0.1:8050

Examples

• A more complete example (including assets and templates) is available in the algomancy repository under example/. The entry point is example/main.py.

Requirements

• Python 3.14+
• Windows, macOS, or Linux

CLI

• This package also exposes a CLI entry point algomancy-cli. Run algomancy-cli --help for usage.

License

• See the LICENSE file included with this distribution.

Changelog

• See changelog.md for notable changes.