Software Alternatives, Accelerators & Startups

Plotly VS cURL

Compare Plotly VS cURL and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

cURL logo cURL

cURL is a computer software project providing a library and command-line tool for transferring data...
  • Plotly Landing page
    Landing page //
    2023-07-31
  • cURL Landing page
    Landing page //
    2021-12-13

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.

cURL features and specs

  • Versatility
    cURL supports a wide range of protocols including HTTP, HTTPS, FTP, and many more, making it a highly versatile tool for developers.
  • Cross-Platform
    cURL can be used on various operating systems including Windows, macOS, and Linux, providing consistency across different environments.
  • Command-Line Usage
    It can be easily used from the command line, enabling quick and powerful interactions with web services without the need for a graphical interface.
  • Automation
    cURL can be incorporated into scripts for automation, making it essential for repetitive tasks such as automated testing or continuous integration.
  • Support for Multiple Data Formats
    It can work with multiple data formats such as JSON, XML, and form-urlencoded, making it flexible for interacting with various APIs.
  • Open Source
    Being an open-source tool, cURL is free to use and has a large community that contributes to its continuous improvement and support.

Possible disadvantages of cURL

  • Steep Learning Curve
    For beginners, the variety of options and parameters available can be overwhelming, requiring time and effort to become proficient.
  • Limited Error Messages
    cURL sometimes provides minimal error messages, which can make debugging issues more complicated, especially for new users.
  • Security Concerns
    Improper handling of SSL certificates or sensitive data could lead to security vulnerabilities, requiring users to be cautious and knowledgeable.
  • Not User-Friendly
    As a command-line tool, it lacks a graphical user interface, which can make it less accessible for users who are not comfortable with terminal commands.
  • Manual Configuration
    Requires manual configuration for advanced options, which can be time-consuming and cumbersome for complex tasks.

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 cURL

Overall verdict

  • Yes, cURL (curl.se) is considered good. It is a reliable and powerful tool widely used in the industry for handling various network-related tasks.

Why this product is good

  • cURL is highly regarded for its ease of use, cross-platform compatibility, and ability to support a wide range of protocols including HTTP, HTTPS, FTP, and more. It is often used for transferring data with URLs, making it versatile for developers and system administrators.

Recommended for

  • Developers needing to test and debug APIs
  • System administrators managing data transfers
  • Users automating web interactions
  • Anyone needing a flexible tool for command-line data transfers

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

cURL videos

BOUNCE CURL REVIEW | Curl Review Series #2

More videos:

  • Review - CURLS BLUEBERRY BLISS REVIEW | Curl Review Series #1
  • Review - Curls Triple Threat Review // Frizz Free Curly Hair
  • Tutorial - How to use CURL

Category Popularity

0-100% (relative to Plotly and cURL)
Data Visualization
100 100%
0% 0
API Tools
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Developer Tools
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 Plotly and cURL

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.

cURL Reviews

Top 20 Open Source & Cloud Free Postman Alternatives (2024 Updated)
cURL is a widely used command-line tool for transferring data with URLs. It supports a multitude of protocols, making it a versatile choice for API testing.
Source: medium.com
Top 10 HTTP Client and Web Debugging Proxy Tools (2023)
The uniqueness of cURL above others is that it supports different types of protocols, like HTTP, HTTPS, FTP, SFTP, POP3 SCP, and more. As a developer, you have to understand how cURL works.

Social recommendations and mentions

Based on our record, cURL should be more popular than Plotly. It has been mentiond 128 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 / 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

cURL mentions (128)

  • 7 Free Tools for Testing and Analyzing HTTP Caching Behavior
    Curl is the most reliable way to inspect HTTP headers from the command line. It makes actual HTTP requests to your server or CDN and displays the raw response headers. - Source: dev.to / 3 months ago
  • Testing Geo-Blocked Features with Docker on a Zero-Budget Setup
    Use open-source tools like Curl with proxy options for straightforward testing. - Source: dev.to / 5 months ago
  • The Ultimate Guide to Offline API Testing: 10 Tools That Work Without Internet
    cURL represents the foundational tool that inspired countless API clients. While not specifically designed for offline use, its versatility enables effective offline workflows through local servers and file-based operations. - Source: dev.to / 9 months ago
  • pyaction: Python and the GitHub CLI in a Docker Container
    This Docker image is designed to support implementing Github Actions With Python. It starts with the official python docker image As the base, which is a Debian OS. It specifically uses python:3-slim to keep the image size Down for faster loading of Github Actions that use pyaction. On top of the Base, we've installed curl Gpg, git, and the GitHub CLI. We added curl and gpg because they Are needed to install the... - Source: dev.to / 11 months ago
  • Using LLM in Access Management with OpenAM and Spring AI as an example
    The application calls several APIs to retrieve settings and their values from OpenAM. For simplicity, we'll use examples using the curl utility instead of programmatic API calls. - Source: dev.to / about 1 year ago
View more

What are some alternatives?

When comparing Plotly and cURL, 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.

Insomnia REST - Design, debug, test, and mock APIs locally, on Git, or cloud. Build better APIs collaboratively for the most popular protocols with a devโ€‘friendly UI, built-in automation, and an extensible plugin ecosystem.

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

HTTPie - CLI HTTP that will make you smile. JSON support, syntax highlighting, wget-like downloads, extensions, and more.

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.

Postman - The Collaboration Platform for API Development