DataGraph
DataGraph is an open-source data visualization and analytics platform. It allows you to connect to data sources, build interactive visualizations and dashboards, and share analytics insights. DataGraph has a drag-and-drop interface to make chart building simple yet flexible.
data-visualization
analytics
dashboards
open-source
DataGraph: Open-Source Data Visualization and Analytics Platform
Connect to data sources, build interactive visualizations and dashboards, and share analytics insights with DataGraph's drag-and-drop interface.
What is DataGraph?
DataGraph is an open-source business intelligence and analytics platform for building interactive data visualizations and dashboards. It provides a code-free environment using a user-friendly drag-and-drop interface that allows anyone to connect to data, build charts and graphs, create dashboards, and share analytics and insights.
Some key capabilities and benefits of DataGraph include:
- Flexible and customizable data visualizations - DataGraph allows users to create a wide variety of chart types including bar, line, scatter, pie, map, pivot table, gauge charts etc. These can be extensively customized via the UI.
- Ad-hoc reporting and analysis - Users can perform on-the-fly analytics by creating charts bound to underlying data on demand, applying filters, segments etc.
- Interactive dashboards - Multiple charts and graphs can be organized into elegant, interactive dashboards with advanced features like cross-filtering across visualizations.
- Data connectivity - DataGraph can connect to SQL & NoSQL databases, cloud data warehouse solutions, REST & streaming APIs etc. It supports live data connections.
- Collaboration - Dashboards and analytics can be securely shared with other DataGraph users supporting team collaboration.
- Open source software with active community - DataGraph is released under the AGPLv3 open source license with a vibrant community contributing to the project.
DataGraph Features
Features
- Drag-and-drop interface for building charts/visualizations
- Connects to various data sources like SQL, NoSQL, REST APIs
- Supports interactive dashboards with filters/parameters
- Has built-in geospatial and statistical analytics
- Allows sharing dashboards via links or embedding
- Has open source and commercial editions
Pricing
- Open Source
- Freemium
- Subscription-Based
Pros
Easy to use for non-technical users
Great for ad-hoc analytics and dashboarding
Integrates well with various data sources
Powerful visualization capabilities
Free open source option available
Cons
Steep learning curve for more advanced analysis
Limited built-in data preparation capabilities
Not ideal for large complex data pipelines
Open source version has limited features
Official Links
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