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Plotly VS Postman for Mac (Beta)

Compare Plotly VS Postman for Mac (Beta) and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Postman for Mac (Beta) logo Postman for Mac (Beta)

Build, test, and document your APIs faster
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Postman for Mac (Beta) Landing page
    Landing page //
    2023-10-02

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.

Postman for Mac (Beta) features and specs

  • User-Friendly Interface
    Postman for Mac (Beta) features an intuitive and easy-to-navigate interface, making it accessible for both beginners and experienced users when crafting API requests.
  • Comprehensive API Testing Tools
    The application provides a wide array of tools for testing APIs, including the ability to create and run automated tests, which simplifies API development and testing processes.
  • Collaboration Features
    Postman includes collaboration options that allow teams to share collections and documentations, enhancing teamwork and the seamless exchange of API information.
  • Extensive Integration Support
    It supports integrations with many services and platforms such as Jenkins, GitHub, and Slack, which allows users to integrate Postman into various stages of the development workflow.
  • Cross-Platform Support
    The beta version for Mac is part of Postman's cross-platform strategy, ensuring that users can maintain consistency across different operating systems.

Possible disadvantages of Postman for Mac (Beta)

  • Performance Issues
    Some users may experience performance issues such as lag or slower load times, which can be a hindrance during intensive API testing sessions.
  • Learning Curve for Advanced Features
    While basic features are accessible, mastering advanced functionalities such as scripting require a steeper learning curve, which might be challenging for new users.
  • Limited Offline Functionality
    The application has limited functionality when offline, which can be inconvenient for users who need constant access to local resources and do not have a reliable internet connection.
  • Resource Intensive
    Postman can be resource-intensive, potentially leading to higher CPU and memory usage, which might be problematic for users with low-spec machines or when running multiple applications simultaneously.
  • Occasional Bugs
    Being a beta version, users might encounter occasional bugs or crashes, affecting reliability and requiring workarounds until stable updates are released.

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.

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

Postman for Mac (Beta) videos

No Postman for Mac (Beta) videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and Postman for Mac (Beta))
Data Visualization
100 100%
0% 0
APIs
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 Postman for Mac (Beta)

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.

Postman for Mac (Beta) Reviews

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Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Postman for Mac (Beta). While we know about 34 links to Plotly, we've tracked only 1 mention of Postman for Mac (Beta). 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 / 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

Postman for Mac (Beta) mentions (1)

  • Postman for MCP
    Postman is already Postman for MCP. We launched MCP support several weeks ago, both in generating MCP servers from the public APIs on our network (over 100k) and with the MCP client which can test, debug, and validate MCP servers with full support for streamable http, sse, and stdio and capabilities (tools, prompts, resources). Check it out! https://postman.com/downloads. - Source: Hacker News / about 1 year ago

What are some alternatives?

When comparing Plotly and Postman for Mac (Beta), 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.

Postman - The Collaboration Platform for API Development

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

Postman Workspaces - Organize and speed up API development work

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.

WrapAPI - Build an API on top of any website