About Datenbilder
Questions about dashboards
Datenbilder is a software project for focused operational dashboards. The answers below describe the system's capabilities and the framework for further development.
Datenbilder is intended for operational views that make status, activity and changes easy to understand. A board can be shaped for notebooks, large displays, tablets or mobile devices.
Yes. Individual values, charts or complete sections can refresh automatically while the dashboard remains open. Update intervals and data flow are chosen to suit the source and the use case.
Yes. Dashboards can react to clicks, switch filters instantly, reload individual charts, keep URLs shareable and combine live data with direct user interaction without refreshing the whole page.
Yes. Interface text, chart titles, labels, KPIs, units and dynamic fragments can be prepared for multiple languages, so the same dashboard can switch cleanly between audiences and locations.
The demo dashboard uses Plotly, but Datenbilder is not tied to a single visualisation library. Plotly, Bokeh and other Python-based charting tools can be integrated when they fit the data and interaction required.
Typical sources are SQL databases and CSV files, for example PostgreSQL and MS SQL. Dashboards can also combine APIs, metrics, events, logs and other structured files when the use case requires it.
Datenbilder is a Python web application built around Flask. The current stack includes packages such as Flask-Login, Flask-WTF, psycopg, pandas, Plotly, Gunicorn and gevent. It has been tested locally and on dedicated infrastructure on both x64 and ARM systems.
A dashboard can run locally, on dedicated infrastructure or in a cloud environment. The right setup depends on access requirements, performance and where the data should remain.
Yes. The path to production is straightforward because Gunicorn is part of the standard application setup. Gunicorn and Nginx provide a proven foundation for responsive dashboards, while the same basic project structure can move from local development to a dedicated server or cloud environment.
Login is protected with password and CAPTCHA verification. Users can additionally enable two-factor authentication with a TOTP-compatible authenticator app and recovery codes in their settings.
Datenbilder begins once data exploration has established the relevant sources, metrics and questions. The dashboard is then implemented as a focused, code-based project rather than configured through a graphical user interface.
Datenbilder is not offered here as a downloadable product or standard software purchase. Please direct enquiries to
office@datenklarheit.de.