VS Code VS Plotly

Compare VS Code VS Plotly and see what are their differences

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VS Code

Build and debug modern web and cloud applications, by Microsoft

Plotly

Low-Code Data Apps

Landing page //
2024-10-09

Landing page //
2023-07-31

VS Code

Website: code.visualstudio.com
Pricing URL: -
$ Details
Startup details
Country: United States

Edit details

Plotly

Website: plotly.com
Pricing URL: Official Plotly Pricing
$ Details: -

Edit details

VS Code features and specs

Cross-platform
VS Code works on Windows, macOS, and Linux, providing a consistent development experience across different operating systems.
Extensibility
A vast library of extensions allows users to add functionalities like debuggers, linters, and themes, making it highly customizable.
Integrated Git
Built-in Git integration makes it easy to manage version control tasks directly within the editor.
Performance
Lightweight compared to full-fledged IDEs, ensuring good performance even on systems with limited resources.
IntelliSense
Advanced code completion and refactoring tools help improve coding efficiency and reduce errors.
Community Support
A strong and active community provides extensive support, tutorials, and third-party extensions.
Debugging
Robust debugging tools for various languages and frameworks are available out of the box.
Free and Open-Source
VS Code is completely free to use and open-source, which is beneficial for both individual developers and organizations.

Possible disadvantages of VS Code

Limited IDE Features
While extensible, it may lack some advanced features found in dedicated IDEs out of the box.
Extension Management
Managing and configuring a large number of extensions can become cumbersome and sometimes lead to performance issues.
Learning Curve
Although user-friendly, it has a steeper learning curve for beginners due to its numerous features and customization options.
Memory Usage
Despite being lightweight, it can consume a significant amount of memory when multiple extensions are installed.
Update Frequency
Frequent updates may sometimes introduce bugs or require users to adapt to new changes quickly.
Internet Dependency
Some features and extensions may require an internet connection to function optimally.
Telemetry
By default, VS Code collects usage data, which might be a concern for users sensitive about data privacy. However, this can be disabled.

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 VS Code

Overall verdict

Yes, VS Code is generally considered a good choice for developers due to its flexibility, efficiency, and strong community support. It is lightweight, fast, and user-friendly, catering to both novice and experienced developers.

Why this product is good

VS Code, developed by Microsoft, is a widely popular and versatile code editor. It offers a robust extension ecosystem, which allows developers to customize their workflow and coding environment extensively. Additionally, VS Code supports numerous programming languages right out of the box and provides features like IntelliSense, debugging, Git integration, and a built-in terminal, making it a powerful tool for developers.

Recommended for

Web developers looking for a comprehensive yet lightweight coding environment.
Software developers who need an editor with extensive language support and customization options.
Beginner programmers who would benefit from a feature-rich editor that can grow with their skills.
Developers interested in an open-source tool with continuous updates and community-driven enhancements.

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.

VS Code videos

+ Add

My New Favorite Text Editor - Visual Studio Code

Plotly videos

+ Add

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

Category Popularity

0-100% (relative to VS Code and Plotly)

VS Code

Plotly

Text Editors

100 100%

Text Editors

0% 0

Data Visualization

0 0%

Data Visualization

100% 100

IDE

100 100%

IDE

0% 0

Charting Libraries

0 0%

Charting Libraries

100% 100

User comments

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

Reviews

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

VS Code Reviews

dksinden

· Working at SpeechKit · over 6 years ago

Choosing the Best SQL Server Tool in 2026

If you're a Windows DBA who mainly manages servers, SSMS is still hard to beat. SQL Server Data Tools makes the most sense for teams building database projects in Visual Studio, Visual Studio Code with the MSSQL extension is a good option for cross-platform development, and DBeaver works well if SQL Server is just one of several databases you manage.

Source: www.linkedin.com

Boost Your Productivity with These Top Text Editors and IDEs

Visual Studio Code, commonly known as VS Code, is a powerful and extensible code editor developed by Microsoft. With its rich ecosystem of extensions and features like IntelliSense, debugging, and Git integration, VS Code enhances your coding productivity.

Source: convesio.com

13 Best Text Editors to Speed up Your Workflow

Finally, the Visual Studio Code website has numerous tabs for you to learn about the software. The documentation page walks you through steps like the setup and working with different languages. You’re also able to check out some tips and tricks and learn all of the Visual Studio Code keyboard shortcuts. Along with a blog, updates page, extensions library and API...

Source: kinsta.com

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]

Previously, VS Code was more suited to developers or engineers due to its lack of data analysis capabilities, but since 2020, the VS Code team has collaborated with the Jupyter team to create an integrated notebook within VS Code. The end result is a fantastic IDE workbook for data analysis.

Source: lakefs.io

The Best IDEs for Java Development: A Comparative Analysis

Overview: Although not a traditional IDE, VS Code has gained popularity as a lightweight code editor.

Source: dev.to

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

Social recommendations and mentions

Based on our record, VS Code seems to be a lot more popular than Plotly. While we know about 1215 links to VS Code, we've tracked only 34 mentions of Plotly. 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.

VS Code mentions (1215)

History of JavaScript: Browser wars, ECMAScript, Node.js, TypeScript, and React
Visual Studio Code, a code editor created by Microsoft, was first introduced on April 29, 2015, at the Build conference. - Source: dev.to / about 2 months ago
How to Get Your First Tool Online
The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / 2 months ago
Agentic Engineering: What Does AI Coding Really Cost?
For IDE-heavy teams, BYOK (bring your own key) can be interesting, no matter whether you live in WebStorm or VS Code. On the JetBrains side, the JetBrains AI plans and Junie BYOK docs allow it, and most VS Code AI extensions offer the same idea: keep the IDE, connect provider keys, pay the provider. - Source: dev.to / 3 months ago
Best Markdown Editors for Developers
Option 1: Raw editing in IDE. You open the .md file in VS Code or whatever you use. Syntax highlighting shows you the structure. Maybe you toggle a preview pane. This works for quick edits but becomes painful for anything involving tables, diagrams, or complex formatting. - Source: dev.to / 3 months ago
Document Generation for Developers: Security, Compliance, and Build-vs-Buy Decisions for the Template-Plus-Data Pipeline
You'll need Python 3.8+ and pip for the quickstart, with venv recommended for isolation. Install the requests library for HTTP calls. VS Code with the Python extension works well as an editor, though PyCharm or Sublime Text work equally well. You'll also need a free Foxit developer account. - Source: dev.to / 3 months ago

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 / over 1 year 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

What are some alternatives?

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

Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.

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.

Vim - Highly configurable text editor built to enable efficient text editing

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

Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications

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.

Sublime Text vs VS Code

Sublime Text vs Plotly