py-docker-monitor

Real-time web dashboard to monitor a single Docker container's CPU, memory, and logs.

Description

A Dash + Plotly app that connects to the local Docker daemon, polls a selected container once per second, and displays:

• Live CPU (%) and Memory (MiB) chart over the last 5 minutes (300 samples).
• Scrollable table of timestamped log lines with ANSI color rendering and collapsible long/multi-line entries; consecutive unchanged rows are collapsed into ....
• Pause/resume control and a refreshable container picker.

Stats collection runs in a background thread; the UI refreshes via a 1s Dash Interval.

Requirements

• Python >=3.13
• A running Docker daemon reachable via the local socket (uses docker.from_env())
• uv for dependency management (provisioned via mise if installed)

Setup

mise install
uv sync

Run

uv run app.py

Open http://localhost:8050, click Refresh, then pick a container from the dropdown.

Project Layout

• app.py — Dash app, background stats collector, callbacks.
• pyproject.toml — project metadata and dependencies.
• mise.toml — pins uv via mise.