Software Alternatives, Accelerators & Startups

Kite VS Plotly

Compare Kite VS Plotly and see what are their differences

Kite logo Kite

Kite helps you write code faster by bringing the web's programming knowledge into your editor.

Plotly logo Plotly

Low-Code Data Apps
  • Kite Landing page
    Landing page //
    2023-02-10
  • Plotly Landing page
    Landing page //
    2023-07-31

Kite features and specs

  • Code Completion
    Kite offers AI-powered code completions, which can significantly speed up coding by predicting what you are likely to type next.
  • Documentation
    It provides instant documentation for libraries and methods right within the editor, allowing developers to understand usage without leaving their coding environment.
  • Multi-language Support
    Kite supports multiple programming languages such as Python, JavaScript, HTML, CSS, and more, making it versatile for various development needs.
  • Integration with Popular IDEs
    Kite seamlessly integrates with popular Integrated Development Environments (IDEs) like VSCode, PyCharm, Atom, and Sublime Text.
  • Frequent Updates
    Kite regularly updates its software to keep improving its AI algorithm and add new features, ensuring the tool evolves continually.

Possible disadvantages of Kite

  • Limited Offline Functionality
    Kite requires an internet connection for its AI features to function properly, which can be a limitation in offline or restricted network settings.
  • Privacy Concerns
    As an AI-based tool, Kite collects code data to improve its models, which may raise privacy and security concerns for some developers and organizations.
  • Performance Issues
    There can be occasional performance lags, especially when working with large codebases, which might affect the efficiency it aims to provide.
  • Compatibility Issues
    Some users may experience compatibility issues or conflicts with other plugins in their IDE, which can disrupt the coding workflow.
  • Learning Curve
    While generally user-friendly, new users may face a short learning curve in understanding how to effectively use all of Kite's features.

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 Kite

Overall verdict

  • Kite is considered a helpful tool for developers who want to enhance their coding efficiency and workflow. However, its usefulness may vary based on individual preferences and the specific programming languages one uses. Some users appreciate its intelligent code suggestions, while others may prefer more comprehensive or different tools depending on their coding style.

Why this product is good

  • Kite is an AI-powered coding assistant designed to help software developers by providing code completions and suggestions. It integrates with popular code editors and supports multiple programming languages, offering features such as autocomplete, documentation access, and code examples to improve productivity.

Recommended for

  • Developers looking for AI-assisted coding tools to enhance their productivity.
  • Individuals who frequently work with supported programming languages such as Python, JavaScript, and others.
  • Users interested in integrating smart autocompletion and documentation features within their code editor.

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.

Kite videos

Ozone Alpha V1 2019 kite review

More videos:

  • Tutorial - Kitesurfing - How to Choose The Right North Kiteboarding Kite - REVIEW
  • Review - 2019 Slingshot RPM | REAL Kite Review

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 Kite and Plotly)
Developer Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Software Development
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 Kite and Plotly

Kite Reviews

11 Best AI Coding Assistants: Top Tools Every Developer Needs in 2025ย 
AI assistants act like live tutors for developers learning a new language or framework. They donโ€™t just fill in codeโ€”they explain it. For instance, if youโ€™re switching from Java to Rust, assistants like Codeium or Kite can suggest syntax patterns and best practices as you code, helping reduce time spent on documentation or Stack Overflow.
Source: blog.devart.com
Top 10 Vercel v0 Open Source Alternatives | Medium
Last but not least, we have Kite, an AI-powered coding assistant that offers both free and paid versions. While not entirely open-source, Kiteโ€™s free version provides valuable AI-assisted coding features that make it worth considering as an alternative to Vercel v0.
Source: medium.com
10 Best Github Copilot Alternatives in 2024
Kite is another smart tool that helps you code faster by giving you suggestions as you type. If youโ€™re looking for a GitHub Copilot alternative, Kite could be a good choice for you. It uses AI to understand your code and provide helpful completions.
Top 10 GitHub Copilot Alternatives
Code more quickly. Maintain your flow. Kite empowers developers by integrating AI-powered code completions into their code editor. The kite can be installed to offer AI-powered code completions to all of your code editors.
Source: hashdork.com
Top 9 GitHub Copilot alternatives to try in 2022 (free and paid)
The last solution in our list is worthy of mention because it is one of the more flexible and user-friendly solutions offered for free. Unfortunately, at the time of writing, Kite is unavailable for download and is not maintained.
Source: www.tabnine.com

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 thatโ€™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 seems to be a lot more popular than Kite. While we know about 34 links to Plotly, we've tracked only 1 mention of Kite. 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.

Kite mentions (1)

  • LLM Software Dev
    Choose an LLM platform: Select a platform that provides LLM-based development tools, such as GitHub Copilot or Kite. - Source: dev.to / 4 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 / 4 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!๐Ÿค“
    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
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What are some alternatives?

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

Tabnine - TabNine is the all-language autocompleter. We use deep learning to help you write code faster.

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.

GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.

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

Eclipse - Eclipse is an open source community, whose projects are focused on building an open development platform comprised of extensible frameworks, tools and runtimes for building, deploying and managing software across the lifecycle.

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.