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JSON Editor Online VS Plotly

Compare JSON Editor Online VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

JSON Editor Online logo JSON Editor Online

View, edit and format JSON online

Plotly logo Plotly

Low-Code Data Apps
  • JSON Editor Online Landing page
    Landing page //
    2022-12-13
  • Plotly Landing page
    Landing page //
    2023-07-31

JSON Editor Online features and specs

  • User-friendly Interface
    The website offers an intuitive and clean interface that makes it easy for users to navigate and edit JSON files without needing extensive technical knowledge.
  • Real-time Editing
    Changes made to the JSON structure are immediately reflected, allowing for interactive and dynamic editing.
  • Schema Validation
    The tool supports JSON schema validation, ensuring that the JSON data conforms to a specified structure, which helps in catching errors early.
  • Tree and Text View
    Users can switch between tree view for an organized hierarchical representation and text view for raw JSON editing, catering to different preferences.
  • Import and Export Options
    The editor supports importing JSON from URLs, files, or direct pasting, and allows exporting edited JSON in various formats, which adds flexibility.
  • Undo and Redo
    The editor includes robust undo and redo capabilities, making it easier to correct mistakes and track changes.

Possible disadvantages of JSON Editor Online

  • Performance Issues with Large Files
    The editor can become sluggish or unresponsive when handling very large JSON files, which can hinder productivity.
  • Limited Collaborative Features
    The tool lacks advanced collaboration features, such as real-time editing by multiple users, which may limit its use in team projects.
  • Dependency on Internet Connectivity
    Since it is a web-based tool, it requires an internet connection to function, making it less suitable for offline use.
  • Security Concerns
    Given that the tool operates online, there may be concerns about the security and privacy of sensitive JSON data being edited in a web environment.
  • Limited Customization
    The editor offers limited customization options for the user interface and functionalities, which may be a drawback for advanced users with specific needs.

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.

JSON Editor Online videos

No JSON Editor Online videos yet. You could help us improve this page by suggesting one.

Add video

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

Category Popularity

0-100% (relative to JSON Editor Online and Plotly)

JSON Editor Online

Plotly

Developer Tools
100 100%
Developer Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
JSON
100 100%
JSON
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using JSON Editor Online and Plotly. 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 JSON Editor Online and Plotly

JSON Editor Online Reviews

We have no reviews of JSON Editor Online 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.
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 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.
Source: blog.logrocket.com

Social recommendations and mentions

Plotly might be a bit more popular than JSON Editor Online. We know about 34 links to it since March 2021 and only 23 links to JSON Editor Online. 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.

JSON Editor Online mentions (23)

  • Show HN: JSON For You โ€“ Visualize JSON in graph or table views
    I love json tools, I use several like https://jsoneditoronline.org/. - Source: Hacker News / almost 2 years ago
  • Help with dedicated server
    This error is harmless. However, your configuration file is malformed. What u/mart1d4 said is right that the custom settings are for custom games mode (not hard). Start with the default config. You can use: https://jsoneditoronline.org/ to check your file formatting. Source: about 3 years ago
  • Tuning my HT
    Download the text file with curves from this thread: https://www.avsforum.com/threads/announcing-ratbuddyssey-a-tool-for-tweaking-audyssey-multeq-app-files.3006886/post-62226147Save your .ady file and open it here: https://jsoneditoronline.org/. Source: about 3 years ago
  • JSON Files
    It really depends on the device and what software it comes with natively. You should be able to edit it in whatever notes/text-based editor comes on your phone. There are also websites you can upload it to and edit it through a browser like https://jsoneditoronline.org/ or https://jsonformatter.org/json-editor. Source: about 3 years ago
  • Stable Diffusion Cheat Sheet - Look Up Styles and Check Metadata Offline
    I just checked, there are online JSON editors [1][2] you can edit that file in, just remove the "var data = " in the front and the ";" at the end. (need to add that back at the end so it works again). Source: about 3 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 / 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
View more

What are some alternatives?

When comparing JSON Editor Online and Plotly, you can also consider the following products

JSONFormatter.org - Online JSON Formatter and JSON Validator will format JSON data, and helps to validate, convert JSON to XML, JSON to CSV. Save and Share JSON

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.

JSONLint - JSON Lint is a web based validator and reformatter for JSON, a lightweight data-interchange format.

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

JSON Formatter & Validator - The JSON Formatter was created to help with debugging.

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.

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