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NumPy VS AuthKong

Compare NumPy VS AuthKong and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

AuthKong logo AuthKong

A reliable captcha service, offers advanced security to protect websites from spam and abuse while ensuring a user-friendly experience for legitimate visitors.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • AuthKong Slider Captcha
    Slider Captcha //
    2024-01-24

AuthKong is a sophisticated, user-friendly captcha service designed to protect websites from spam and abuse while ensuring real users can easily pass through. It presents itself as a superior alternative to Google's reCAPTCHA, emphasizing enhanced user experience and more efficient bot protection. AuthKong employs simple yet effective methods like slider and icon captchas, making the verification process less frustrating for users compared to the more complex challenges often found in reCAPTCHA. Additionally, AuthKong boasts a robust algorithm backed by a comprehensive database of known bots and spam, providing a higher level of security against malicious users.

One of the key features of AuthKong is its seamless integration capability, offering a drop-in replacement for reCAPTCHA that can be easily incorporated into existing websites. Furthermore, the service offers valuable analytics, allowing users to gain insights into captcha performance and usage – a notable advantage over reCAPTCHA. AuthKong's pricing model is transparent and affordable, catering to businesses of various sizes and eliminating hidden costs often associated with its competitors.

AuthKong enhances the overall user experience and website security through its GDPR-compliant services, adaptive verification for real users, and robust protection against bots. It offers features like a risk engine and high availability, ensuring consistent performance and reliability. The service aims to reduce the need for manual moderation, thereby cutting costs, and to minimize user friction with friendly captcha designs. Starting with a generous offer of 1 million free captcha requests per month, AuthKong invites businesses to join its growing community and enhance their website security while providing a better user experience.

AuthKong

$ Details
freemium $10.0 / Monthly ("2 Domains", "1,500,000 Requests Per Month", "1 Datacenter")
Release Date
2024 January

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.

AuthKong features and specs

  • User-Friendly Interface
    AuthKong provides an intuitive and easy-to-navigate interface that simplifies user management for both developers and administrators.
  • Scalability
    The platform is designed to handle a large number of users and authentication requests efficiently, making it suitable for growing companies.
  • Robust Security Features
    Offers strong authentication protocols and encryption standards to ensure user data is protected from unauthorized access.
  • Comprehensive Documentation
    AuthKong provides thorough and well-organized documentation that helps developers integrate authentication services seamlessly into their applications.
  • Customizable Authentication Flows
    Allows businesses to tailor authentication flows to suit their unique needs, enhancing user experience and security.

Possible disadvantages of AuthKong

  • Cost
    AuthKong may have a higher price point compared to other authentication solutions, which could be a barrier for small businesses or startups.
  • Learning Curve
    Despite its user-friendly design, some advanced features require a learning curve for new users who are unfamiliar with authentication systems.
  • Limited Integrations
    While AuthKong supports many popular integrations, it might lack connectivity with some less common or niche platforms.
  • Technical Support
    Some users have reported delays in receiving technical support, which can be critical during implementation or troubleshooting.
  • Dependency on Internet
    As a cloud-based service, it requires a reliable internet connection for optimal functionality, which might be challenging in areas with unstable internet access.

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

AuthKong videos

Product Demo

Category Popularity

0-100% (relative to NumPy and AuthKong)
Data Science And Machine Learning
Captcha
0 0%
100% 100
Data Science Tools
100 100%
0% 0
SPAM Protection
0 0%
100% 100

Questions and Answers

As answered by people managing NumPy and AuthKong.

What makes your product unique?

AuthKong's answer:

User-Friendly Captcha: AuthKong offers easy-to-use slider and icon captchas that prioritize user experience, reducing frustration during verification compared to more complex alternatives like Google reCAPTCHA.

Robust Bot Protection: AuthKong employs robust algorithms and a vast database of known bots and malicious IP addresses, providing superior bot protection compared to traditional methods used by reCAPTCHA.

Transparent Pricing: Unlike reCAPTCHA, AuthKong has a transparent pricing model with no hidden costs, making it affordable for businesses of all sizes.

Detailed Analytics: AuthKong provides detailed analytics that offer valuable insights into user interactions and captcha effectiveness, a feature often lacking in reCAPTCHA.

Why should a person choose your product over its competitors?

AuthKong's answer:

AuthKong distinguishes itself from its competitors by offering a user-friendly, robust, and transparent captcha service with valuable analytics, affordability, customization options, reliability, and responsive support. These factors make it an attractive choice for website owners and businesses seeking effective bot protection and improved user experiences.

How would you describe your primary audience?

AuthKong's answer:

AuthKong's primary audience includes website owners, businesses of all sizes, web developers, e-commerce platforms, online communities, digital marketers, government and nonprofit organizations, and any industry with an online presence seeking enhanced website security and user engagement.

Which are the primary technologies used for building your product?

AuthKong's answer:

AuthKong primarily utilizes the following technologies for building its product:

  • PHP
  • JavaScript (JS)
  • Golang
  • MySQL
  • MongoDB
  • ClickHouse

These technologies are likely used to develop and maintain the various components and features of AuthKong's captcha service, ensuring its functionality, scalability, and performance.

User comments

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Reviews

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

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

AuthKong Reviews

We have no reviews of AuthKong yet.
Be the first one to post

Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 119 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 (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
View more

AuthKong mentions (0)

We have not tracked any mentions of AuthKong yet. Tracking of AuthKong recommendations started around Jan 2024.

What are some alternatives?

When comparing NumPy and AuthKong, 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.

hCaptcha - Do you use a captcha to keep out bots? hCaptcha is a drop-in replacement for reCAPTCHA that earns website owners money and helps companies get their data labeled.

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

GeeTest CAPTCHA - GeeTest protects your websites, mobile Apps and APIs from bot threats.

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

MTcaptcha - Enterprise Captcha solutions