Software Alternatives & Startups
Register | Login

Plotly VS Modern CSV

Compare Plotly VS Modern CSV and see what are their differences

Thalam
OpenAI-compatible API gateway for GPT, Claude, Gemini, DeepSeek, Qwen, Kling and more. One key, one endpoint, one bill. Pay per token, no lock-in. sponsored
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.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Plotly logo Plotly

Low-Code Data Apps

Modern CSV logo Modern CSV

A CSV editor/viewer
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Modern CSV Main window
    Main window //
    2026-06-22
  • Modern CSV Pivot Table
    Pivot Table //
    2026-06-22

Modern CSV is an intuitive editor for tabular data. Its capabilities include: - Multi-cell editing - Quick loading of large files - Filter and sort data - Find/replace data with regular expressions - Analysis tools

Plotly

Website
plotly.com
Pricing URL
Official Plotly Pricing
$ Details
-
Platforms
-
Release Date
-
Edit details

Modern CSV

Website
moderncsv.com
Pricing URL
Official Modern CSV Pricing
$ Details
freemium $39 / One-off (Valid for the current major version - v2)
Platforms
Windows MacOS Linux
Release Date
2019 August
Startup details
Country
United States
State
TX
Edit details

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.

Modern CSV features and specs

  • Fast Loading and Editing
    Modern CSV boasts high performance, being able to handle large CSV files efficiently. This can significantly save time when working with extensive datasets.
  • Multi-Cell Editing
    The software allows for the manipulation of multiple cells at once, including batch editing operations such as search and replace, which speeds up data processing.
  • Advanced Navigation
    Users can quickly navigate through their data using various keyboard shortcuts and other navigation tools, designed to improve workflow efficiency.
  • Customizable Interface
    Modern CSV offers a range of customization options for the user interface, allowing users to tailor the workspace to their specific needs.
  • Cross-Platform Compatibility
    The application is available for Windows, macOS, and Linux, making it accessible to a wide range of users across different operating systems.
  • Data Validation
    Modern CSV includes features for data validation, helping to ensure data integrity and reduce errors during data entry and manipulation.

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.

Analysis of Modern CSV

Overall verdict

  • Modern CSV is generally considered a strong choice for users who need a reliable and feature-rich tool to work with CSV files. Its performance and range of functionalities make it a good investment for both casual users and data professionals alike.

Why this product is good

  • Modern CSV is a powerful and versatile CSV editor that offers a wide range of features designed to handle large datasets efficiently. It provides an intuitive user interface, robust data manipulation tools, and advanced features such as multi-cursor editing, custom shortcuts, and extensive data filtering options. Additionally, it supports large data files without compromising performance and is available on multiple platforms, making it a convenient and flexible choice for users dealing with CSV files frequently.

Recommended for

    Modern CSV is recommended for data analysts, data scientists, accountants, and any users who regularly work with large CSV datasets and require a powerful tool with advanced editing and data manipulation capabilities.

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

Modern CSV videos

No Modern CSV videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Plotly and Modern CSV)

Plotly

Modern CSV

Data Visualization
100 100%
Data Visualization
0% 0
CSV Editors
0 0%
CSV Editors
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Office & Productivity
0 0%
Office & Productivity
100% 100

User comments

Share your experience with using Plotly and Modern CSV. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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

Modern CSV Reviews

We have no reviews of Modern CSV yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. 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.

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

Modern CSV mentions (0)

We have not tracked any mentions of Modern CSV yet. Tracking of Modern CSV recommendations started around Mar 2021.

What are some alternatives?

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

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.

Rons CSV Editor - Rons CSV Editor / Now Rons Data Edit

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

ReCsvEditor - Csv / Tsv / Delimited file editor. Supports for very large Files.

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.

CSV Buddy - CSV Buddy helps you make your CSV files ready to be imported by a variety of software.

Loading...