Software Alternatives & Startups

Floobits VS Plotly

Compare Floobits VS Plotly 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.

Floobits logo Floobits

Floobits brings real-time collaborative editing to text editors, IDEs, and now Atom.

Plotly logo Plotly

Low-Code Data Apps
  • Floobits Landing page
    Landing page //
    2019-12-02
  • Plotly Landing page
    Landing page //
    2023-07-31

Floobits features and specs

  • Real-time Collaboration
    Floobits allows multiple developers to work on the same code simultaneously, facilitating real-time collaboration similar to Google Docs but for code.
  • Cross-platform Support
    Floobits is compatible with various operating systems and can be integrated with several code editors like Sublime Text, Atom, and IntelliJ IDEA, providing a wide range of user options.
  • Seamless Editor Integration
    Floobits integrates seamlessly with popular code editors, providing a natural development experience without forcing users to switch tools or workflows.
  • Text and Voice Chat
    It includes text and voice chat features, enabling efficient communication between collaborators directly within the tool.
  • Project Sharing
    Users can easily share projects and collaborate without needing to manually set up development environments for their peers.

Possible disadvantages of Floobits

  • Dependency on Internet
    Floobits requires a stable internet connection for real-time collaboration, which can be limiting in areas with poor connectivity.
  • Pricing Structure
    While it offers a free version, advanced features and increased workspace require a paid subscription, which might not be feasible for all users.
  • Limited Editor Support
    Although it supports a good number of editors, users of less-known or unsupported editors might find it difficult to integrate Floobits into their workflows.
  • Learning Curve
    New users might face a learning curve when initially setting up and using Floobits, especially those unfamiliar with collaborative coding tools.
  • Security Concerns
    As with any cloud-based tool, there might be concerns about data security and ownership when using third-party services for collaborative coding.

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.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Floobits videos

Pair programming on ag with Floobits+Atom

More videos:

  • Review - DÉVELOPPER À PLUSIEURS SUR INTELLIJ ! (Floobits)

Plotly videos

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

Category Popularity

0-100% (relative to Floobits and Plotly)
IDE
100 100%
0% 0
Data Visualization
0 0%
100% 100
Text Editors
100 100%
0% 0
Charting Libraries
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 Floobits and Plotly

Floobits Reviews

We have no reviews of Floobits yet.
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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.
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...
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.

Social recommendations and mentions

Based on our record, Plotly should be more popular than Floobits. It has been mentiond 34 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.

Floobits mentions (6)

  • Zed is now open source
    Isn't that what Floobits is? https://floobits.com/. - Source: Hacker News / over 2 years ago
  • Pair programming between neovim and Webstorm
    Think this might be what you want. Https://floobits.com/. Source: over 3 years ago
  • How to collaborate code?
    Floobits. Works with a lot of editors. Https://floobits.com/. Source: over 4 years ago
  • How to collaborate code?
    I have noticed Floobits which is a collaborative editing service. It integrates with a number of editors including neovim. What I like about that idea is that each participant can use their preferred editor with their preferred settings. I haven't gotten it running - when I tried there was a python dependency mismatch or something that I wasn't motivated to investigate. I might try again before the next time I... Source: over 4 years ago
  • Collaborative editing on (n)vim ?
    I think Floobits is still a thing and supports neovim. Bonus is that it works across a couple different editors as well. Source: almost 5 years ago
View more

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
  • 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 / over 1 year 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 / over 1 year 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 / almost 2 years 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 / about 2 years ago
View more

What are some alternatives?

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

codebunk - Realtime Collaborative Editor with Code Execution, REPLs and Chat

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.

Codassium - A better way to conduct remote interviews. Collaborative code editor + video conferencing + code execution = Awesome interviews.

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

coderpad - Collaborative code editor with in-browser, real-time execution. Conduct programming phone screens like a boss.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.