Software Alternatives, Accelerators & Startups

NumPy VS MangoProxy

Compare NumPy VS MangoProxy and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

MangoProxy logo MangoProxy

Global Proxy Network: 90M+ Residential & Static IPs for Any Task
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  • NumPy Landing page
    Landing page //
    2023-05-13
  • MangoProxy
    Image date //
    2025-07-03

MANGOPROXY

Elite Residential Proxy Network from $0.6/GB

99.95% success rate · 90M+ IPs · 220+ countries


🚀 What is MangoProxy?

MangoProxy is a next-gen residential proxy service tailored for high-speed, high-volume, and undetectable operations.

Whether you're launching large-scale ad campaigns, running stealth affiliate funnels, or scraping data at scale — MangoProxy delivers the power, precision, and privacy you need.


🔐 Why MangoProxy Stands Out

  • 99.95% success rate – battle-tested across thousands of real-world campaigns
  • 90M+ real residential IPs – globally distributed with auto-rotation
  • <0.3 fraud-score – ultra-clean IPs that pass advanced detection tools
  • 25+ Mbps average speed – enterprise-grade bandwidth on every request
  • Instant activation – no setup hassle or contracts
  • Reseller-ready API – built for scale, flexibility, and automation
  • Integration ready – works flawlessly with AdsPower, Octo, Multilogin, Dolphin, and more

🌐 Use Cases

🧠 Digital Marketers & Arbitrageurs

Avoid bans and blocks on ad platforms. Run cloaked or geo-targeted campaigns safely.

📊 Data Scrapers & Researchers

Bypass anti-bot systems with rotating residential IPs from real devices.

🛒 E-commerce & QA Teams

Simulate traffic from multiple regions to test pricing, availability, and performance.

👥 Agencies & Resellers

Offer MangoProxy as your backend solution via our scalable API.


✅ Key Benefits

  • Clean IP pool with extremely low fraud rates
  • Rotating and static IPs available
  • Transparent pricing with no hidden fees
  • Responsive 24/7 human support
  • Trusted by 500+ agencies, solo media buyers, and SaaS platforms

Start winning with MangoProxy

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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.

MangoProxy features and specs

  • High-Speed Performance
    MangoProxy offers high-speed proxy connections, making it ideal for users who need fast and reliable access to content.
  • Easy Integration
    The service provides easy integration with various applications and platforms, ensuring a smooth user experience.
  • Global Coverage
    MangoProxy has servers located around the world, allowing users to access geo-restricted content from multiple regions.
  • Robust Security Features
    The proxy service includes strong security measures to protect users’ data and maintain privacy online.
  • Scalability
    MangoProxy can scale to meet the demands of both small and large businesses, providing flexible solutions as needs change.

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.

Analysis of MangoProxy

Overall verdict

  • MangoProxy appears to be a solid proxy service option for users needing reliable IP rotation and geo-targeting, though you should verify current performance, pricing, and reviews directly since proxy service quality can change over time.

Why this product is good

  • Offers residential and datacenter proxy options suitable for various use cases
  • Provides geo-targeting capabilities for accessing region-specific content
  • Typically includes IP rotation features to reduce blocking and bans
  • May offer competitive pricing plans for different usage tiers
  • Often provides API access for easier integration into automated workflows

Recommended for

  • Web scraping and data collection projects
  • Businesses conducting market research and price monitoring
  • SEO professionals tracking search rankings across regions
  • Ad verification and brand protection tasks
  • Developers needing reliable proxy infrastructure for automation

NumPy videos

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

MangoProxy videos

No MangoProxy videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to NumPy and MangoProxy)
Data Science And Machine Learning
Residential Proxies
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Proxy
0 0%
100% 100

Questions & Answers

As answered by people managing NumPy and MangoProxy.

What's the story behind your product?

MangoProxy's answer:

MangoProxy was created to simplify access to reliable proxy infrastructure.

Many proxy services are either too technical for beginners or too expensive for smaller teams. MangoProxy focuses on delivering enterprise-grade proxy performance with a clean interface and flexible pricing.

The goal is to make mobile, residential and ISP proxies accessible to a wider audience without sacrificing stability.

Which are the primary technologies used for building your product?

MangoProxy's answer:

MangoProxy is built using modern cloud networking and distributed traffic routing technologies.

  • Automated IP rotation systems
  • Load balancing and traffic optimization
  • Real-time proxy health monitoring
  • Scalable cloud infrastructure
  • Secure authentication and session control
  • Geo-aware routing mechanisms

Who are some of the biggest customers of your product?

MangoProxy's answer:

Due to privacy and security reasons, MangoProxy does not publicly disclose customer identities.

However, the platform is widely used by:

  • Digital marketing agencies
  • E-commerce analytics teams
  • Automation and scraping specialists
  • Software testing companies
  • Data intelligence startups

What makes your product unique?

MangoProxy's answer:

MangoProxy combines stable proxy infrastructure with a simple user experience and predictable pricing.

  • Exclusive IP allocation during the rental period
  • Multiple proxy types - mobile, residential, ISP and datacenter proxies
  • Flexible geo targeting for global workflows
  • Built for scraping, automation and multiaccounting tasks
  • Easy onboarding without complex technical setup
  • Transparent traffic-based pricing model

Why should a person choose your product over its competitors?

MangoProxy's answer:

MangoProxy is designed for users who need reliable proxies without enterprise-level complexity.

  • Stable connections suitable for web scraping and automation
  • Quick setup - start working within minutes
  • Scalable proxy infrastructure for growing workloads
  • Support for popular antidetect browsers and tools
  • Competitive pricing compared to large proxy providers
  • Consistent performance across different proxy types

How would you describe the primary audience of your product?

MangoProxy's answer:

MangoProxy is used by individuals and teams that require scalable proxy solutions for data-driven and automation workflows.

Typical users include:

  • Performance marketers and media buyers
  • Web scraping and data collection teams
  • E-commerce monitoring specialists
  • QA and software testing teams
  • Multiaccounting and automation users
  • Startups building data intelligence products

User comments

Share your experience with using NumPy and MangoProxy. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and MangoProxy

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.
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

MangoProxy Reviews

  1. Oliver
    · DevOps Engineer at TechFlow Solutions ·
    High-speed residential network for media workflows

    We shifted our automated content management and streaming data workflows to this proxy network about a month ago. Previously, we struggled with major speed dips and timeouts when uploading large media files across multiple regions. This provider handled the bandwidth requirements remarkably well, maintaining stable connections and zero mid-session drops.

    Pros:    High throughput & low latency|Consistent uptime|Clean address allocation
    Cons:    Simple analytics interface
  2. Finlay
    · Digital Marketer at Marketing and Advertising ·
    Reliable connection for multi-accounting with zero fraud issues

    We shifted our multi-accounting tasks and identity management workflows to this provider a few weeks ago after facing high fraud scores with our previous vendor. The transition was smooth, and the network quality has proven to be highly reliable for maintaining clean digital profiles without triggering automated security checks.

    Pros:    Accurate bandwidth accounting|Stable connection
    Cons:    No major flaws found so far
  3. Gavin
    · SEO Specialist at Freelance ·
    Reliable for Different Types of Projects

    I started using this service for a single task but gradually expanded it to other projects. One thing I appreciate is that it has remained consistent as my workload has grown. The setup was simple, performance has been reliable, and managing everything from one account makes daily work much more convenient. Overall, it has been a dependable solution that I plan to keep using.

    Competitors: SOAX, Oxylabs
    Pros:    Consistent performance|Easy account management|Multiple proxy options|Quick setup process
    Cons:    I'd like to see more detailed usage statistics in the dashboard.

Social recommendations and mentions

Based on our record, NumPy seems to be more popular. 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.

NumPy mentions (122)

View more

MangoProxy mentions (0)

We have not tracked any mentions of MangoProxy yet. Tracking of MangoProxy recommendations started around Dec 2023.

What are some alternatives?

When comparing NumPy and MangoProxy, you can also consider the following products

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

Oxylabs - A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.

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

IPRoyal - At IPRoyal, we offer premium proxy servers, including residential, datacenter, ISP, and mobile proxies.

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

ASocks - Clear, Fast & Unlimited. Residential & Mobile Proxies For Best Price.