juniper-canopy

A real-time dashboard to watch and steer Cascade-Correlation training as it happens.

juniper-canopy is a Dash + FastAPI dashboard that renders Juniper training dynamics live: it pulls metrics and network topology from juniper-cascor over REST and WebSocket and visualises loss, accuracy, and unit recruitment as the network grows. It draws dataset context from juniper-data and exposes a WebSocket control surface to pause, resume, and step a run from the browser. A demo mode runs the whole UI against simulated data with no backend.

Part of the Juniper platform. juniper-canopy is the real-time monitoring dashboard of Juniper — a multi-package ML research platform built around constructive (Cascade-Correlation) and recurrent neural networks. It reads from juniper-cascor and juniper-data over HTTP.

Install

pip install juniper-canopy

Run

Demo mode — no backend required, simulated training:

./demo                                 # then open http://localhost:8050

Service mode — against live juniper-cascor + juniper-data instances:

export JUNIPER_CANOPY_CASCOR_SERVICE_URL=http://<cascor-host>:8200
export JUNIPER_DATA_URL=http://<data-host>:8100
python src/main.py                     # dashboard on http://localhost:8050

API docs are served at /docs (Swagger) and /redoc.

Configuration

Settings load from the JUNIPER_CANOPY_ environment namespace (src/settings.py):

Docker

docker build -t juniper-canopy:latest .
docker run --rm -p 8050:8050 juniper-canopy:latest                # demo mode (image default)

docker run --rm -p 8050:8050 \
  -e JUNIPER_CANOPY_DEMO_MODE=0 \
  -e JUNIPER_CANOPY_CASCOR_SERVICE_URL=http://host.docker.internal:8200 \
  -e JUNIPER_DATA_URL=http://host.docker.internal:8100 \
  juniper-canopy:latest                                           # service mode

For the orchestrated full stack, see juniper-deploy.

Status

Beta on PyPI. The current version is shown by the badge above; see CHANGELOG.md. Supports Python 3.11–3.14.

Documentation

• docs/QUICK_START.md — five-minute startup guide
• docs/USER_MANUAL.md — comprehensive usage guide
• docs/ENVIRONMENT_SETUP.md — environment configuration
• docs/DOCUMENTATION_OVERVIEW.md — documentation index

License

MIT — see LICENSE.