Software Alternatives, Accelerators & Startups

Warp Terminal VS Plotly

Compare Warp Terminal VS Plotly and see what are their differences

Warp Terminal logo Warp Terminal

The terminal for the 21st century. Warp is a blazingly fast, rust-based terminal reimagined from the ground up to work like a modern app.

Plotly logo Plotly

Low-Code Data Apps
  • Warp Terminal Landing page
    Landing page //
    2023-10-09
  • Plotly Landing page
    Landing page //
    2023-07-31

Warp Terminal features and specs

  • Modern Interface
    Warp Terminal offers a modern and visually appealing interface compared to traditional terminals, improving user experience and accessibility.
  • Command Suggestions
    Warp provides useful command suggestions and completions to enhance productivity and reduce errors while typing complex commands.
  • Integrated Collaboration
    The terminal has built-in features for collaboration, making it easier for teams to share terminal sessions and work together more effectively.
  • Advanced Search
    Users can benefit from powerful search capabilities, allowing them to quickly find previous commands and outputs, which increases efficiency.
  • Customizable
    Warp allows for extensive customization, enabling users to tailor the terminal to their specific workflow and aesthetic preferences.

Possible disadvantages of Warp Terminal

  • Learning Curve
    Users familiar with traditional terminals might face a learning curve adjusting to Warp's different features and interface.
  • System Requirements
    Warp might require more resources compared to simpler terminal applications, which could be an issue on older hardware.
  • Limited Platform Support
    As of now, Warp may have limited support for certain operating systems or environments, restricting its usage among some user groups.
  • Dependency on Internet
    Certain features may require an active internet connection, which can be a limitation in offline or restricted environments.
  • Potential Overhead
    The extra features and functionalities of Warp could introduce additional overhead, potentially slowing down workflows that rely on traditional, minimal terminals.

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.

Warp Terminal videos

You Need this Terminal - Warp Terminal Review

More videos:

  • Demo - New *incredible* mac OS terminal! (warp + starship + zsh)

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 Warp Terminal and Plotly)
Developer Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Terminal Tools
100 100%
0% 0
Data Dashboard
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 Warp Terminal and Plotly

Warp Terminal Reviews

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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 Warp Terminal. It has been mentiond 33 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.

Warp Terminal mentions (16)

  • Linux version of Warp terminal is here
    Hi! I’m Aloke, an engineer at Warp. I’m really excited to share that Warp is now available on Linux! If you’re interested in trying it out, you can download Warp: https://warp.dev/ Building Warp on Linux was quite an undertaking. Warp uses a custom Rust-based UI framework that we built in house and renders natively on the GPU. To get Warp running on Linux, we built a version of our UI framework that supports winit... - Source: Hacker News / over 1 year ago
  • The New Terminal (Beta) Is Now in JetBrains IDEs
    At a glance, this looks like https://warp.dev/ Terminal. - Source: Hacker News / over 1 year ago
  • How To Change Your Zoom Background With Code
    Warp is a Rust-based terminal with AI built in. I like it because it has things like autocompletions, history search, click-to-edit, and theming out-of-the-box. Feels super modern. And if you do want to try it out, use my referral link & get a free theme!). - Source: dev.to / over 1 year ago
  • OpenAI Whisper: Transcribe in the Terminal for free
    Unless you want to type this every day, I’d recommend creating an alias. In my case, I’m using Warp, so I’ll right-click the command and choose Save as Workflow to save my script as a workflow. Warp AI will even help me autofill the title and description and detect variables. - Source: dev.to / over 1 year ago
  • Keystroke timing obfuscation added to SSH(1)
    This makes me wonder about newer terminal emulators on maccOS like Warp[1], and if they're for example taking all input locally, and then sending it over the remote host in a single blob or not? I imagine doing so would possibly break any sort of raw-mode input being done on remote host but I'd also imagine that is a detectable situation in which you could switch into a raw keystroke feed as well. [1]:... - Source: Hacker News / almost 2 years ago
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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 / 3 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 / 5 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 / 7 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 / about 1 year 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

What are some alternatives?

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

Rust Adventure - Rust Adventure is an ever-growing collection of courses designed to help you put Rust into production through real-world projects.

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.

Hyper - Extensible, cross-platform terminal built on open web standards.

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

Fig - Fast, isolated development environments using Docker.

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