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Plotly VS OpenFrameworks

Compare Plotly VS OpenFrameworks and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

OpenFrameworks logo OpenFrameworks

openFrameworks
  • Plotly Landing page
    Landing page //
    2023-07-31
  • OpenFrameworks Landing page
    Landing page //
    2023-09-30

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

OpenFrameworks features and specs

  • Open Source
    OpenFrameworks is open-source, allowing developers to access, modify, and contribute to its codebase. This fosters a community-driven development environment and encourages collaboration.
  • Cross-Platform
    It supports multiple platforms, including Windows, macOS, Linux, iOS, and Android, making it versatile for developing applications across various operating systems.
  • Rich Collection of Add-ons
    OpenFrameworks offers a wide range of add-ons and libraries contributed by the community, which extend the framework's capabilities and provide tools for graphics, sound, video, computer vision, and more.
  • Community Support
    The framework has a robust community that provides support via forums, tutorials, and a wealth of shared projects and code snippets, making it easier to learn and troubleshoot.
  • Artistic and Creative Focus
    OpenFrameworks is particularly well-suited for projects that emphasize creativity and artistic output, making it popular among artists and designers working on interactive installations and media art.

Possible disadvantages of OpenFrameworks

  • Steep Learning Curve
    While OpenFrameworks is powerful, its complexity can be daunting for beginners, especially those without experience in C++ programming.
  • Limited Documentation
    Although there is community support, the official documentation can sometimes be sparse or outdated, which can pose challenges for developers seeking detailed explanations or examples.
  • Performance Overhead
    As an abstraction layer over native OpenGL, OpenFrameworks might introduce performance overhead compared to writing raw OpenGL code, which can be a concern for high-performance applications.
  • Dependency Management
    Managing dependencies and ensuring compatibility across different platforms can be complex, especially when dealing with various libraries and add-ons.
  • Not Ideal for All Types of Applications
    OpenFrameworks is tailored towards creative coding and may not be the best choice for applications that require extensive GUI features or are more business-logic-oriented.

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

OpenFrameworks videos

+ Add

Part 2 of GAFFTA OpenFrameworks for Processing Coders

More videos:

  • Tutorial - openFrameworks tutorial - 000 intro to openFrameworks
  • Review - [openframeworks] Box2d study - Burst -

Category Popularity

0-100% (relative to Plotly and OpenFrameworks)

Plotly

OpenFrameworks

Data Visualization
100 100%
Data Visualization
0% 0
3D
0 0%
3D
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
VJ
0 0%
VJ
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 Plotly and OpenFrameworks

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

OpenFrameworks Reviews

We have no reviews of OpenFrameworks yet.
Be the first one to post

Social recommendations and mentions

Plotly might be a bit more popular than OpenFrameworks. We know about 33 links to it since March 2021 and only 32 links to OpenFrameworks. 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.

Plotly mentions (33)

  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / about 1 month ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 3 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 5 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

OpenFrameworks mentions (32)

  • Ask HN: Who Are Your Favorite Photography and Generative Coding Artists?
    Zach Lieberman https://x.com/zachlieberman does his work in C++ with https://openframeworks.cc/. - Source: Hacker News / 2 months ago
  • Resolume
    Not exactly VJ, but could be used for it. https://openframeworks.cc. - Source: Hacker News / about 1 year ago
  • VVVV – A Hybrid Visual/Textual Development Environment
    - openFrameworks https://openframeworks.cc/ C++. - Source: Hacker News / about 1 year ago
  • Valve Says Counter-Strike 2 for macOS Not Happening, There Aren't Enough Players
    Vulkan is sort of a post-API API. It seems to be designed specifically with high performance render pipelines in mind, and "end users" should interface with it through an intermediary layer. Ie, you might prefer bgfx[0], cinder[1] or openframeworks[2]. 0: https://github.com/bkaradzic/bgfx 2: https://openframeworks.cc/. - Source: Hacker News / over 1 year ago
  • I'm starting to get tired
    Since you have C# experience, take this time to learn more about C++ while you continue to look. While yes, it is very easy to write bad code, it's not a huge deal since you just graduated and are just hacking around. Plus there are a lot of helpers these days to make writing bad code a little less likely.A former mentor of mine gifted me "C++ Without Fear" by Brian Overland which I can recommend. It's not too... Source: about 2 years ago
View more

What are some alternatives?

When comparing Plotly and OpenFrameworks, you can also consider the following products

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.

Processing - C++ and Java programming at the speed of thought.

Chart.js - Easy, object oriented client side graphs for designers and developers.

TouchDesigner - TouchDesigner is a visual development platform that equips you with the tools you need to create stunning realtime projects and rich user experiences.

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

Vvvv - vvvv is a graphical programming environment for easy prototyping and development.

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