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Plotly VS GitHub Codespaces

Compare Plotly VS GitHub Codespaces and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

GitHub Codespaces logo GitHub Codespaces

GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • GitHub Codespaces Landing page
    Landing page //
    2023-09-01

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.

GitHub Codespaces features and specs

  • Instant Setup
    GitHub Codespaces allows for quick setup of development environments, enabling developers to start coding within minutes.
  • Consistency
    By using Codespaces, all team members can work in consistent development environments, avoiding the 'works on my machine' problem.
  • Scalable
    Codespaces can easily scale up or down resources based on the needs of the project, offering flexibility in resource allocation.
  • Integrated with GitHub
    Seamless integration with GitHub means that Codespaces takes advantage of all GitHub features like pull requests, issues, and workflows directly within the development environment.
  • Customizable Environments
    Developers can define the configuration of their development environments using devcontainer.json files, making it easy to set up tailored workspaces.
  • Remote Development
    Codespaces allows developers to work from virtually anywhere without needing to rely on the power of their local machines.

Possible disadvantages of GitHub Codespaces

  • Cost
    Using Codespaces incurs a cost based on compute and storage resources, which can add up, especially for larger teams or more intensive projects.
  • Internet Reliance
    Codespaces are cloud-based, so a stable internet connection is required. Any disruption in connectivity can hinder development progress.
  • Customization Limitations
    While customizable, Codespaces may not support all specific or advanced development setups or niche tools as effectively as local environments.
  • Performance Variability
    Performance might vary depending on the selected instance type and current load on GitHub's infrastructure.
  • Dependency on GitHub Ecosystem
    Codespaces are tightly integrated with GitHub, which could be a downside for teams that use other platforms or who prefer a more platform-independent solution.
  • Learning Curve
    Developers unfamiliar with cloud-based environments may face a learning curve when first transitioning to Codespaces.

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

GitHub Codespaces videos

+ Add

Brief introduction of GitHub Codespaces

More videos:

  • Review - GitHub Codespaces First Look - 5 things to look for

Category Popularity

0-100% (relative to Plotly and GitHub Codespaces)

Plotly

GitHub Codespaces

Data Visualization
100 100%
Data Visualization
0% 0
Text Editors
0 0%
Text Editors
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
IDE
0 0%
IDE
100% 100

User comments

Share your experience with using Plotly and GitHub Codespaces. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and GitHub Codespaces

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

GitHub Codespaces Reviews

12 Best Online IDE and Code Editors to Develop Web Applications
Beginners who want to try their luck can use GitHub Codespaces for free with limited benefits, but you will have enough features to carry on. If you are a team or an enterprise, you can start using GitHub Codespaces at $40/user/year.
Source: geekflare.com

Social recommendations and mentions

Based on our record, GitHub Codespaces should be more popular than Plotly. It has been mentiond 148 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.

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 2 months 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 / 4 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

GitHub Codespaces mentions (148)

  • VSCode's SSH Agent Is Bananas
    https://github.com/features/codespaces All you need is a well-defined .devcontainer file. Debugging, extensions, collaborative coding, dependant services, OS libraries, as much RAM as you need (as opposed to what you have), specific NodeJS Versions — all with a single click. - Source: Hacker News / 3 months ago
  • GitHub Workflows: The First Line of Defense
    For this week, our task was to automate everything: GitHub workflows for testing, linting, building, and error checking. Additionally, I set up a dev container that contributors can use in GitHub Codespaces for a fast, hassle-free setup. Finally, we were assigned to write tests for a classmate's project! - Source: dev.to / 6 months ago
  • Dear AWS, how do I build & develop purely on AWS right now?
    As an alternative for Cloud9, you can use vscode.dev, which runs VS Code in the browser or other alternatives that are more integrated and personalized like gitpod.io or Github Codespaces. - Source: dev.to / 8 months ago
  • Ask HN: Any Recommendations Around Programming on an iPad?
    Check out GitHub Codespaces https://github.com/features/codespaces I have used it for learning C, Rust and Go. It even has a VSCode editor in the browser. It’s pretty easy to setup. Create a repo, add a hello_world.c, push the code, then in the UI press the green code option and select Create code space on main and then use the gcc from the terminal to compile... - Source: Hacker News / 8 months ago
  • Local development with Subdomains, Mobile Testing, and OAuth
    I updated the settings in my router to keep my IP assigned to my computer to avoid needing to update the DNS file. ### Remote Development One option I didn't try is doing all of your development remotely in something like Github Workspaces. From what it looks like, I think this would provide all the functionality needed except, you'd be dependent on internet and be locked into their pricing. I've worked in this... - Source: dev.to / 9 months ago
View more

What are some alternatives?

When comparing Plotly and GitHub Codespaces, 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.

CloudShell - Cloud Shell is a free admin machine with browser-based command-line access for managing your infrastructure and applications on Google Cloud Platform.

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

replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

StackBlitz - Online VS Code Editor for Angular and React

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