GnuPlot vs DataGraph

Struggling to choose between GnuPlot and DataGraph? Both products offer unique advantages, making it a tough decision.

GnuPlot is a Science & Engineering solution with tags like plotting, graphs, data-visualization, 2d-plots, 3d-plots.

It boasts features such as 2D and 3D plotting, Supports various plot types like line, scatter, histogram, boxplot, contour, Data fitting and manipulation, Publication quality output, Scriptable using its own domain specific language and pros including Free and open source, Powerful and flexible plotting capabilities, High quality output, Cross-platform, Extensive documentation and large user community.

On the other hand, DataGraph is a Data & Analytics product tagged with data-visualization, analytics, dashboards, open-source.

Its standout features include 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, and it shines with pros like 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.

Feature	GnuPlot	DataGraph
Overall Score	N/A	N/A
Primary Category	Science & Engineering	Data & Analytics

Product Overview

GnuPlot

Description: GnuPlot is a free, open-source graphing utility that can produce publication-quality 2D and 3D plots. It supports various plot types like line, scatter, histogram, boxplot, and contour plots. GnuPlot can also fit and manipulate data.

DataGraph

Description: 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.

Key Features Comparison

GnuPlot Features

• 2D and 3D plotting
• Supports various plot types like line, scatter, histogram, boxplot, contour
• Data fitting and manipulation
• Publication quality output
• Scriptable using its own domain specific language

DataGraph 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

Pros & Cons Analysis

GnuPlot

Pros

• Free and open source
• Powerful and flexible plotting capabilities
• High quality output
• Cross-platform
• Extensive documentation and large user community

Cons

• Steep learning curve
• Command line interface may not be intuitive for beginners
• Limited interactivity compared to GUI programs
• Customizing plots requires learning scripting language

DataGraph

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

Pricing Comparison

GnuPlot

• Open Source

DataGraph

• Open Source
• Freemium
• Subscription-Based