Software Alternatives, Accelerators & Startups

Plotly VS Surge for Mac

Compare Plotly VS Surge for Mac and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Surge for Mac logo Surge for Mac

Advanced Web Debugging Proxy for Mac & iOS
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Surge for Mac Landing page
    Landing page //
    2023-04-03

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.

Surge for Mac features and specs

  • Comprehensive Network Debugging
    Surge for Mac provides advanced network debugging features, including HTTP/HTTPS proxy, capture and analysis of network traffic, and robust filtering options. This makes it easy to diagnose and fix network issues.
  • Rule-based Configuration
    Surge supports complex, rule-based configurations, which are highly customizable. This allows for precise control over network behavior, aiding in development, testing, and deployment scenarios.
  • API Request Analysis
    The tool provides detailed insights into API requests and responses, helping developers and testers to understand and optimize backend API communications.
  • Advanced Proxy Capabilities
    Surge offers robust proxy capabilities, including support for SOCKS5, HTTP CONNECT, and rewrite rules, making it versatile for various network environments and use cases.
  • User-Friendly Interface
    Surge boasts a user-friendly interface which simplifies the process of setting up and managing complex network configurations, making it accessible even for users who are not network experts.
  • Automation and Scripting Support
    The platform supports automation and scripting, allowing users to automate repetitive tasks and integrate Surge into their workflows using JavaScript.

Possible disadvantages of Surge for Mac

  • Cost
    Surge for Mac is a paid software, which can be relatively costly compared to some other network debugging tools or open-source alternatives.
  • Learning Curve
    Due to its advanced features and capabilities, there can be a steep learning curve for new users. Understanding all of its functions and configurations may require some time and effort.
  • Resource Intensive
    Running Surge, particularly with extensive network traffic analysis and debugging features enabled, can be resource-intensive, potentially affecting the overall performance of your Mac.
  • Overwhelming for Simple Use Cases
    For users with simpler needs, the extensive features of Surge may be overwhelming. In such cases, a more straightforward tool might be a better fit.
  • Compatibility Issues
    Some users have reported compatibility issues with certain applications and services, which may require troubleshooting or alternative configurations to resolve.

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 Surge for Mac

Overall verdict

  • Surge for Mac is considered an excellent tool for those who need advanced network management and debugging capabilities. It is particularly well-regarded in the developer community for its reliability and feature-rich platform.

Why this product is good

  • Surge for Mac is praised for its powerful networking tools that cater specifically to developers and IT professionals. It offers a robust suite of functionalities including HTTP/S Proxy, Traffic Monitoring, and Local DNS Mapping, which are highly beneficial for testing and debugging purposes. The user interface is also designed to be intuitive, allowing for efficient management of network configurations.

Recommended for

    Surge is highly recommended for software developers, network administrators, and IT professionals who require comprehensive and reliable tools for network testing, debugging, and configuration management.

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

Surge for Mac videos

No Surge for Mac videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and Surge for Mac)
Data Visualization
100 100%
0% 0
Developer Tools
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Proxy
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 Surge for Mac

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.

Surge for Mac Reviews

We have no reviews of Surge for Mac yet.
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Social recommendations and mentions

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

Surge for Mac mentions (1)

  • Charles Proxy
    Https://nssurge.com is available on macOS & iOS and has seemed superior to Fiddler in many ways. - Supports a pseudo-VPN mode (~tap and socket filter) that intercepts any traffic that doesn't go through the HTTPS/SOCKS proxies, including attempting TLS MITM on them. - Source: Hacker News / 7 months ago

What are some alternatives?

When comparing Plotly and Surge for Mac, 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.

Weer - A HTTP protocol debugger with Chrome DevTools frontend interface

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

Charles Proxy - HTTP proxy / HTTP monitor / Reverse Proxy

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.

James - James is a HTTP Proxy and Monitor that enables developers to view and intercept requests made from...