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Proxyman.io VS NumPy

Compare Proxyman.io VS NumPy and see what are their differences

9Proxy
Clean. Fast. Premium Residential Proxies, Starting from $0.015/IP and $0.68/GB. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Proxyman.io logo Proxyman.io

Proxyman is a high-performance macOS app, which enables developers to view HTTP/HTTPS requests from apps and domains.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Proxyman.io Landing page
    Landing page //
    2023-02-25

Modern and Delightful HTTP Debugging Proxy Proxyman is a native, high-performance macOS application, which enables developers to observe and manipulate HTTP/HTTPS requests.

  • NumPy Landing page
    Landing page //
    2023-05-13

Proxyman.io features and specs

  • User-Friendly Interface
    Proxyman.io provides an intuitive and easy-to-navigate user interface, making it accessible for both beginners and advanced users.
  • Cross-Platform Support
    It supports multiple platforms including macOS, Windows, and Linux, ensuring a broad range of users can utilize the tool.
  • Real-time Traffic Interception
    Proxyman.io offers real-time traffic interception and inspection, enabling users to debug and analyze traffic as it happens.
  • HTTPS Decryption
    The tool supports HTTPS decryption, allowing users to view encrypted traffic for more thorough analysis.
  • Customizable Filters
    Users can set up customizable filters to focus on specific types of traffic or protocols, enhancing productivity and efficiency.
  • Extensive Documentation
    Proxyman.io provides detailed documentation and tutorials, helping users to make the most of the software.
  • Active Community and Support
    The tool has an active community and responsive support team, providing assistance and updates regularly.

Possible disadvantages of Proxyman.io

  • Cost
    While Proxyman.io offers a free trial, the full version is paid, which might be a barrier for some users or smaller organizations.
  • Learning Curve
    Despite its user-friendly interface, new users might still experience a learning curve to fully utilize all features.
  • Resource Intensive
    The application can be resource-intensive, potentially slowing down the system when intercepting high volumes of traffic.
  • Limited Free Version
    The free version has limitations in terms of features and volume of traffic it can handle, which may necessitate purchasing the paid version for extensive use.
  • Occasional Bugs
    Like any software, it can have occasional bugs or performance issues, although these are generally addressed quickly by the development team.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Analysis of Proxyman.io

Overall verdict

  • Proxyman.io is generally considered a good tool for developers in need of a robust and intuitive proxy tool. It provides essential features for network traffic analysis with a clean and modern interface.

Why this product is good

  • Proxyman.io is appreciated for its user-friendly interface and powerful features that make it an effective tool for web debugging. It supports a range of protocols including HTTP, HTTPS, and WebSocket, and offers functionalities such as breakpoints, request/response modification, and SSL proxying. Its integration with MacOS makes it a preferred choice for developers in that ecosystem.

Recommended for

  • Web developers
  • Mobile developers
  • Security researchers
  • Quality assurance engineers

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Proxyman.io videos

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NumPy videos

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Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to Proxyman.io and NumPy)

Proxyman.io

NumPy

Developer Tools
100 100%
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0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Proxy
100 100%
Proxy
0% 0
Data Science Tools
0 0%
Data Science Tools
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 Proxyman.io and NumPy

Proxyman.io Reviews

Top 10 HTTP Client and Web Debugging Proxy Tools (2023)
Proxyman just like Paw is a native macOS web debugging proxy application. This tool stands as an intermediary or a man-in-the-middle server. With its built-in macOS setup, you can capture, inspect and get around HTTP(s) traffic, request, and responses easily. What set Proxyman aside from Paw is the fact that it is more advance in functionalities.
Source: www.bestproxyreviews.com
12 HTTP Client and Web Debugging Proxy Tools
Similar to the above-mentioned Paw, Proxyman is a premium native macOS web debugging proxy application.
Source: geekflare.com
Comparing Charles Proxy, Fiddler, Wireshark, and Requestly
On the pricing front, Requestly strikes a balance between affordability and functionality. It is an open-source tool, offering freemium to individual developers and affordable pricing plans for team collaboration. We have also clearly differentiated how Requestly differs from Wireshark and other web debugging tools like Proxyman, Modheader, and HTTP ToolKit separately.
Source: dev.to

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy should be more popular than Proxyman.io. It has been mentiond 122 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.

Proxyman.io mentions (27)

  • Charles Proxy
    I don't have elaborate needs and have used Charles for many years. A few years ago I switched to https://proxyman.com and found it easier to use. - Source: Hacker News / 7 months ago
  • Essential Mobile Testing Tools: A Developer's Complete Guide
    Network analysis tools like Charles Proxy and Proxyman provide essential debugging capabilities for mobile applications. These tools intercept and analyze all network traffic, enabling detailed inspection of API communications. - Source: dev.to / 9 months ago
  • Catching useful errors when parsing JSON fails in Swift
    Armed with this you could now investigate the raw JSON using HTTP proxying (I like to use ProxyMan for this), and/or talk to the back-end team, see if they've made some changes and are aware of the breakage in the contract between client and server. - Source: dev.to / almost 2 years ago
  • Show HN: Pฤkiki Proxy โ€“ An intercepting proxy for penetration pesting
    I previously used Proxyman [1] on iOS to the http requests send over TLS. It worked rather nicely. Proxyman in this case starts a VPN which handles all the traffic. It uses custom certificate to decrypt the messages. [1] https://proxyman.io/. - Source: Hacker News / over 2 years ago
  • A collection of useful Mac Apps
    Proxyman - Price: Free (optional paid plans available) Modern and intuitive HTTP/HTTPS debugging proxy app for macOS. Source: about 3 years ago
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NumPy mentions (122)

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What are some alternatives?

When comparing Proxyman.io and NumPy, you can also consider the following products

Charles Proxy - HTTP proxy / HTTP monitor / Reverse Proxy

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

HTTP Toolkit - Beautiful, cross-platform & open-source tools to debug, test & build with HTTP(S). One-click setup for browsers, servers, Android, CLI tools, scripts and more.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Fiddler - Fiddler is a debugging program for websites.

OpenCV - OpenCV is the world's biggest computer vision library

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