Software Alternatives, Accelerators & Startups

Dia VS Bokeh

Compare Dia VS Bokeh and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Dia logo Dia

Dia is a GTK+ based diagram creation program for GNU/Linux, MacOS X, Unix, and Windows, and is released under the GPL license.

Bokeh logo Bokeh

Bokeh visualization library, documentation site.
  • Dia Landing page
    Landing page //
    2022-10-12
  • Bokeh Landing page
    Landing page //
    2022-11-01

Dia features and specs

  • Open Source
    Dia is free and open-source software, which means you can use it without any cost and even modify the source code to fit your needs.
  • Cross-Platform
    Dia is available for multiple operating systems including Windows, Linux, and macOS, providing flexibility for users on different platforms.
  • Versatile Diagram Types
    Supports a wide range of diagram types such as flowcharts, network diagrams, UML diagrams, and many more, making it a versatile tool for various purposes.
  • Customizable Toolset
    Users can create custom shapes and objects, allowing for detailed and specific diagram creation tailored to unique needs.
  • User Community and Documentation
    There is an active user community and extensive documentation available to help users troubleshoot and get the most out of the software.

Possible disadvantages of Dia

  • Outdated Interface
    The user interface of Dia is somewhat outdated compared to modern diagramming tools, which can make it less intuitive and harder to use.
  • Limited Features
    While versatile, Dia lacks some of the advanced features available in other professional diagramming tools, such as sophisticated collaboration tools and real-time updating.
  • Performance Issues
    Users have reported performance issues, especially when working with very large or complex diagrams, making it less efficient for more intensive tasks.
  • Learning Curve
    Despite its simplicity, there is still a learning curve associated with getting the most out of Dia, particularly for users who are new to diagramming software.
  • Compatibility and Integration
    Dia may not integrate as seamlessly with other modern tools and platforms, potentially creating challenges in workflows that require interoperability with other software.

Bokeh features and specs

  • Interactive Visualizations
    Bokeh is designed specifically for creating interactive and highly customizable visualizations, making it suitable for engaging data exploration.
  • Python Integration
    Bokeh integrates well with the Python ecosystem, allowing direct use of pandas, NumPy, and other Python libraries, facilitating seamless data manipulation and visualization.
  • Web Compatibility
    Bokeh generates plots that are ready to be embedded into web applications, making it a powerful tool for creating dashboards and interactive reports.
  • Server Functionality
    Bokeh provides a server component that allows users to build and deploy sophisticated interactive applications using just Python.
  • Variety of Plotting Options
    Bokeh offers a wide range of plotting capabilities including charts, maps, and streamgraphs, enabling users to create complex visual stories.

Possible disadvantages of Bokeh

  • Learning Curve
    Bokeh may have a steeper learning curve for users unfamiliar with JavaScript or those looking for a very simple or quick plotting tool.
  • Performance Issues
    When dealing with very large datasets, Bokeh might suffer from performance issues, as it is primarily client-side rendering.
  • Limited 3D Capabilities
    Bokeh's support for 3D plotting is limited compared to other visualization libraries like Plotly, potentially restricting its use for applications that require 3D visualizations.
  • Documentation and Community Size
    While Bokeh has good documentation, its user community is smaller compared to more mature libraries like Matplotlib, which can mean fewer resources and third-party support options.

Analysis of Dia

Overall verdict

  • Dia is a solid choice for users seeking a free and open-source alternative for diagram creation, especially for those who do not require the advanced features found in premium diagramming software.

Why this product is good

  • Dia is often considered a good diagramming tool because it is open-source, platform-independent, and supports a wide range of diagram types including flowcharts, network diagrams, and UML diagrams. It has a user-friendly interface resembling other popular tools like Microsoft Visio, and it offers flexibility with its customizable shapes. Additionally, Dia allows you to export diagrams into various formats such as PNG, SVG, and PDF.

Recommended for

  • Students and educators who need a cost-effective diagramming tool.
  • Individuals and teams working on Linux or open-source environments.
  • Professionals creating various types of basic diagrams without the need for complex features.
  • Users looking for a lightweight application that fulfills typical diagramming requirements.

Analysis of Bokeh

Overall verdict

  • Yes, Bokeh is a good choice for data visualization, particularly if you need to create interactive, high-quality plots that can be shared and displayed on the web.

Why this product is good

  • Bokeh is a powerful and interactive visualization library for Python that is known for its ability to create elegant, scalable, and versatile graphics. It is especially useful for creating web-ready, interactive plots that can be easily embedded into web pages or applications. Bokeh is praised for its intuitive and flexible interface, making it a great choice for both simple and complex visualizations.

Recommended for

  • Data scientists who need to create interactive visualizations for data exploration.
  • Web developers looking to incorporate dynamic plots into their applications.
  • Educators and researchers who need to present data interactively in a web-based format.
  • Anyone seeking a versatile tool compatible with various data formats and capable of producing real-time streaming plots.

Dia videos

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Bokeh videos

"Bokeh" - Netflix Film Review

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Category Popularity

0-100% (relative to Dia and Bokeh)
Diagrams
100 100%
0% 0
Charting Libraries
0 0%
100% 100
Flowcharts
100 100%
0% 0
Data Visualization
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Dia and Bokeh

Dia Reviews

10 Best Visio Alternatives for Cost Effective Diagramming [2022]
UI of Dia is not the best in the world. The icons have very low resolution, it does not have support for screen resolutions higher than 1080p so that users of large and Ultra wide monitors could have problems.
Best 8 Free Visual Paradigm Alternatives in 2022
Dia is a downloadable program that works with Windows and is a great way to make charts and diagrams just like with Visual Paradigm. The desktop tool provides different elements to make your chart more accurate. The tool also has a small learning curve which lets you start working on your projects after a few minutes of navigating. Dia is lightweight and runs smoothly on...
Source: gitmind.com
BEST 28 UML Tools in 2020
Dia is a full-featured diagramming program which is licensed under GPL. It allows you to draw various types of diagrams and has special objects to help you to draw ER diagrams, UML diagrams, flowcharts, network diagrams, and many other diagrams.
Source: www.guru99.com
40 Open Source, Free and Top Unified Modeling Language (UML) Tools
Pacestar UML Diagrammer helps users generate UML 2.0 diagrams quickly and easily. They can develop, document, and communicate their designs in a systematic yet flexible AND commonly understood notation. Also, they are able to create activity diagrams, class and object diagrams, communication diagrams, use case diagrams, sequence diagrams, state charts, package diagrams, and...

Bokeh Reviews

Top 8 Python Libraries for Data Visualization
Pygal is a Python data visualization library that is made for creating sexy charts! (According to their website!) While Pygal is similar to Plotly or Bokeh in that it creates data visualization charts that can be embedded into web pages and accessed using a web browser, a primary difference is that it can output charts in the form of SVG’s or Scalable Vector Graphics. These...

Social recommendations and mentions

Based on our record, Dia should be more popular than Bokeh. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Dia mentions (12)

View more

Bokeh mentions (5)

  • [OC] Chemical Diversity of The GlobalChem Common Chemical Universe
    Visualization: https://docs.bokeh.org/en/latest/. Source: about 3 years ago
  • Profiling workflows with the Amazon Genomics CLI
    Now that we can get task timing information in a consistent manner, let’s do some plotting. For this, I’m going to use Bokeh which generates nice interactive plots. - Source: dev.to / about 3 years ago
  • 10 Python Libraries For Data Visualization
    Bokeh The Bokeh library is native to Python and is mainly used to create interactive, web-ready plots, which can be easily output as HTML documents, JSON objects, or interactive web applications. Like ggplot, its concepts are also based on the Grammar of Graphics. It has the added advantage of managing real-time data and streaming. This library can be used for creating common charts such as histograms, bar plots,... - Source: dev.to / over 3 years ago
  • Graphic library Bokeh is underrated and underdocumented
    It's not in the least bit "underrated" and it's documentation is extensive. Source: almost 4 years ago
  • Help with Bokeh Interactive Plot
    Hi guys! I am currently working on a project to enrich my Master thesis with some interactive plots. I have been using the Bokeh library to make a standalone application, which I was then planning to deploy in Heroku. You can find the code in this repository. But I will also add it at the bottom of the post. Source: about 4 years ago

What are some alternatives?

When comparing Dia and Bokeh, you can also consider the following products

draw.io - Online diagramming application

Plotly - Low-Code Data Apps

yEd - yEd is a free desktop application to quickly create, import, edit, and automatically arrange diagrams. It runs on Windows, Mac OS X, and Unix/Linux.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

LucidChart - LucidChart is the missing link in online productivity suites. LucidChart allows users to create, collaborate on, and publish attractive flowcharts and other diagrams from a web browser.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.