# christabor/flask_jsondash

:snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.

Repository: https://github.com/christabor/flask_jsondash
Canonical: https://ross.abutalabs.com/products/flask_jsondash
Language: Python
License: MIT
License Family: permissive
Topics: flask, dataviz, chart-json, d3, plotly, c3, dashboard, visualization, charts
Last push: 2026-06-26T16:26:59+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 89, release rhythm 8, longevity 100
- inputs: {"age_days": 3849, "days_push": 68, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3281, forks 296 (observed 2026-08-28T04:07:53.596832+00:00)

## What it is
A Flask blueprint for building chart dashboards entirely from JSON configuration, with no front-end code required. It supports charting libraries like C3.js, D3.js, and Plotly, pulling data from arbitrary JSON API endpoints with drag-and-drop layout editing.

## Use cases
- build dashboards without writing front-end code
- visualize data from arbitrary JSON API endpoints
- create configurable chart dashboards with JSON config only
- embed charts from D3, Plotly, or C3 in a Flask app
- drag-and-drop dashboard layout builder
- add a dashboard module to an existing Flask application

## When to choose
- you use Flask and want dashboards with minimal code
- your data is already exposed as JSON endpoints
- you want pre-packaged layouts with drag-and-drop editing

## When to avoid
- you need a standalone BI tool outside a Python/Flask stack
- you need highly custom interactive front-end visuals beyond the supported chart libraries
- you need a framework with frequent updates and active development

## Facets
- artifact type: framework
- maturity: maintenance
- function: data-visualization, charts, web-framework, templating
- domain: data-visualization, web-development, analytics
- platform: python, self-hosted
- tags: flask-blueprint, dashboard-builder, json-config, d3, plotly, c3, drag-and-drop, no-code-frontend, web-server

## Member repositories
- christabor/flask_jsondash (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:53.596832+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:43:19.527625+00:00, confidence not recorded.
  - readme: https://github.com/christabor/flask_jsondash (fetched 2026-08-28T04:07:53.596832+00:00, sha a54078829f47)
  - registry_pypi: https://pypi.org/pypi/flask_jsondash/json (fetched 2026-08-29T09:36:08.604590+00:00, sha 17e80c1f305a)
- Data as of 2026-08-30T08:39:29.467469+00:00.