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.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

GnuPlot

GnuPlot

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.

Categories:
plotting graphs data-visualization 2d-plots 3d-plots

GnuPlot Features

  1. 2D and 3D plotting
  2. Supports various plot types like line, scatter, histogram, boxplot, contour
  3. Data fitting and manipulation
  4. Publication quality output
  5. Scriptable using its own domain specific language

Pricing

  • Open Source

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

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.

Categories:
data-visualization analytics dashboards open-source

DataGraph Features

  1. Drag-and-drop interface for building charts/visualizations
  2. Connects to various data sources like SQL, NoSQL, REST APIs
  3. Supports interactive dashboards with filters/parameters
  4. Has built-in geospatial and statistical analytics
  5. Allows sharing dashboards via links or embedding
  6. 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