DaDaBIK
DaDaBIK is an open-source data visualization and business intelligence platform that allows you to easily create dashboards, charts, and reports from various data sources. It has a simple drag-and-drop interface to build visualizations without coding.
data-visualization
dashboard
reporting
draganddrop
open-source
DaDaBIK: Open-Source Data Visualization
An open-source data visualization and business intelligence platform with a simple drag-and-drop interface, allowing easy creation of dashboards, charts, and reports from various data sources.
What is DaDaBIK?
DaDaBIK is an open-source business intelligence and data visualization platform for creating interactive dashboards and reports. It has a simple and intuitive drag-and-drop interface that allows users to easily connect to data sources like SQL, NoSQL databases, CSV files, REST APIs, etc. and visualize data without writing any code.
Some key features of DaDaBIK:
- Connect to multiple data sources - SQL, MongoDB, REST APIs, CSV, JSON, Excel, Google Sheets etc.
- Drag and drop interface to create various charts and dashboards
- In-built aggregations, filters, metrics etc. to prepare data
- Visualize data in different charts - bar, pie, line, scatter plot, pivot table etc.
- Create interactive filters and sliders for dynamic dashboards
- Real-time collaboration allowing multiple users to edit dashboards
- Role based access control for managing users and permissions
- Scheduled PDF report generation and emailing
- Mobile-friendly responsive dashboards
DaDaBIK is written in Python and JavaScript. It can be deployed on-premises or used through cloud hosting services. The open-source nature coupled with the simple interface makes it easy for BI teams to create visually impactful, interactive dashboards and reports in a short time without relying on developers.
DaDaBIK Features
Features
- Drag-and-drop interface for building dashboards
- Connects to various data sources like SQL, NoSQL, CSV, JSON
- Has a library of customizable widgets like charts, tables, filters
- Real-time data visualization and updates
- Access control and user management
- Scheduled reports and alerts
- REST API support
- Open source and self-hosted
Pricing
- Open Source
Pros
Simple and intuitive to use
Great for non-technical users
Connects to many data sources
Completely free and open source
Active community support
Cons
Limited advanced analytics features
Not suitable for large complex datasets
Lacks some enterprise features like audit logs
Relies on technical expertise for installation and management
Official Links
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