Software Alternatives, Accelerators & Startups

API List VS Plotly

Compare API List VS Plotly and see what are their differences

API List logo API List

A collective list of APIs. Build something.

Plotly logo Plotly

Low-Code Data Apps
  • API List Landing page
    Landing page //
    2021-09-21
  • Plotly Landing page
    Landing page //
    2023-07-31

API List features and specs

  • Variety
    API List provides a diverse range of APIs in various categories such as entertainment, data, weather, and more, making it easy to find APIs that suit different needs.
  • Ease of Access
    The platform is user-friendly and allows users to quickly browse and discover APIs without complex navigation or extensive searches.
  • Free APIs
    Many of the APIs listed on the site are free to use, which is a great advantage for developers who are looking for cost-effective solutions.
  • Updated Content
    The list appears to be maintained and updated regularly, ensuring that users have access to current and functional APIs.

Possible disadvantages of API List

  • Quality Variation
    The quality and reliability of the listed APIs can vary significantly since they come from different sources and may not all be thoroughly vetted.
  • Limited Information
    Some API listings may lack detailed descriptions or documentation links, which can make it harder for developers to assess their suitability.
  • No User Reviews
    The site does not provide a mechanism for user feedback or reviews, which could help other users to determine the usefulness and reliability of an API.
  • Possible Downtime
    There is no guarantee of uptime for the APIs listed, and some may experience downtimes or discontinuation without prior notice.

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 API List

Overall verdict

  • API List is a useful resource for developers seeking to explore various APIs across different categories. It simplifies the process of discovering APIs and provides quick access to essential information. However, like any curated directory, the quality and completeness of information about each API may vary.

Why this product is good

  • API List (apilist.fun) is a curated directory of APIs that can be helpful for developers looking for new APIs to integrate into their applications. It organizes APIs into categories, making it easier to discover tools that fit specific needs. The site often provides basic information about each API, along with links to their documentation, which can save time for developers in the exploration phase.

Recommended for

    API List is recommended for developers, software engineers, and project managers who are seeking new APIs to integrate, particularly those who are in the early stages of project planning and need an efficient way to explore available options.

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.

API List videos

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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 API List and Plotly)
APIs
100 100%
0% 0
Data Visualization
0 0%
100% 100
Web App
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 API List and Plotly

API List Reviews

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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.
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 should be more popular than API List. 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.

API List mentions (18)

  • How to Promote and Market your API: API Directories
    This simple and intuitive website categorizes APIs (and allows for multiple categories per API). Some social aspects are introduced; like upvotes, comments, list of companies using the API. - Source: dev.to / over 1 year ago
  • Promises in JavaScript: Understanding, Handling, and Mastering Async Code
    If you havenโ€™t tried it yet, I recommend writing a simple code snippet to fetch data from an API. You can start with a fun API to experiment with. Plus, all the examples and code snippets are available in this repository for you to explore. - Source: dev.to / almost 2 years ago
  • Whatโ€™s the most exciting API you discovered?
    I don't know any good ones specifically, but https://apilist.fun was helpful back when I was playing around. Source: over 3 years ago
  • Boost Your Next Project with My Comprehensive List of Free APIs โ€“ 1000+ and Counting!
    Public-api Github Repo : https://github.com/public-apis/public-apis Rapid API : https://rapidapi.com/collection/list-... API House : https://apihouse.vercel.app/ Free APIs: https://free-apis.github.io/#/ Dev Resources : https://devresourc.es/tools-and-utili... AnyApi: https://any-api.com/ Public Apis : https://public-apis.io/ API List : https://apilist.fun/ Public APIs: https://public-apis.xyz/ Public... - Source: dev.to / over 3 years ago
  • A Beginner Developer's Guide to APIs (with Example Project)
    There are hundreds of APIs available for you to use in your projects. API List is a comprehensive list of publicly available APIs and links to the documentation and other important information for each API. - Source: dev.to / over 3 years ago
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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 / 5 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 API List and Plotly, you can also consider the following products

PublicAPIs - Explore the largest API directory in the galaxy

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.

Spinneret - Record and Automate Anything on the Web

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

Phantombuster - A marketplace of simple to use no-code APIs

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.