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NumPy VS TinyWall

Compare NumPy VS TinyWall and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

TinyWall logo TinyWall

Lightweight and non-intrusive firewall
  • NumPy Landing page
    Landing page //
    2023-05-13
  • TinyWall Landing page
    Landing page //
    2023-03-16

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.

TinyWall features and specs

  • Lightweight
    TinyWall is designed to be a lightweight firewall solution, consuming minimal system resources and running smoothly on low-end hardware.
  • No Pop-ups
    Unlike many other firewall programs, TinyWall operates without intrusive pop-ups, providing a more seamless user experience.
  • Easy Configuration
    TinyWall offers an intuitive interface with simple configuration options, making it accessible even for users with limited technical knowledge.
  • Whitelist-Based
    TinyWall uses a whitelist-based approach, which enhances security by only allowing pre-approved applications to access the network.
  • No Cost
    TinyWall is free to use, offering robust firewall protection without any cost.

Possible disadvantages of TinyWall

  • Limited Advanced Features
    Compared to some other firewall solutions, TinyWall may lack certain advanced features that power users or network administrators might require.
  • Windows-Only
    TinyWall is currently available only for Windows, which limits its use for those on other operating systems like macOS or Linux.
  • Manual Whitelisting
    The whitelist-based approach requires manual approval of applications, which can be cumbersome for users with many applications.
  • No Real-Time Notifications
    TinyWall does not provide real-time notifications about blocked connections, making it harder to diagnose connection issues immediately.
  • Support and Documentation
    While TinyWall is free, it may not offer the same level of support and comprehensive documentation as some commercial firewall products.

NumPy videos

+ Add

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

TinyWall videos

+ Add

TinyWall Firewall

More videos:

  • Review - Tinywall - Windows Firewall
  • Review - Firewall Windows Tinywall

Category Popularity

0-100% (relative to NumPy and TinyWall)

NumPy

TinyWall

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Firewall
0 0%
Firewall
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Monitoring Tools
0 0%
Monitoring 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 NumPy and TinyWall

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

TinyWall Reviews

Best firewall software of 2024
TinyWall will actively block trojans, viruses, worms, and other forms of malware, and prevent the modification of Windows firewall’s settings by malicious programs. And it will do all of this without you needing to know about ports, protocols, or application details.
Source: www.techradar.com
Best Free Firewalls for Windows, Mac & Android in 2024
TinyWall is a lightweight and highly effective firewall. It works beside Windows’ own firewall to ensure safety, and it has many useful features to ensure protection against cyber threats. Some of the security tools you’ll get with TinyWall include the following:
Source: www.wizcase.com
10 Best Free Firewall Software for Windows in 2024
The fourth software on our list of Best Free Firewall software for windows is Tinywall. TinyWall is a completely free firewall software as this company does not follow a Freemium model and isn’t ad-sponsored. It isn’t a replacement for your antivirus, but it is a valuable add-on.it is actually designed to be used with Windows’ built-in Defender firewall, so its performance...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, NumPy should be more popular than TinyWall. 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

TinyWall mentions (26)

  • Simplewall Has Been Discontinued
    Used https://tinywall.pados.hu/ when I was on Windows (at least a decade ago). - Source: Hacker News / 3 months ago
  • Blocking interent access to certain apps.
    Check out TinyWall. Only allows apps and processes you whitelist. Be sure to allow core services in Manage > Special Exceptions tab. Source: over 1 year ago
  • Brute-forcing a macOS user’s real name from a browser using mDNS
    I used to use tinywall on Windows. https://tinywall.pados.hu/. - Source: Hacker News / almost 2 years ago
  • Mac shipments grow 10%, as all major PC brands see downturns
    Remove 11 and install Windows 10 ITSC IOT edition until the equivalent for 11 drops. Make Windows shut up for good with Tinywall (https://tinywall.pados.hu/) and whitelist applications as needed. - Source: Hacker News / almost 2 years ago
  • Comodo firewall and Windows Internet not working: Can't re/un-install
    Microsoft Defender is far better as an antivirus, and there are much better 3rd-party firewall options, even though Windows Firewall works just fine. TinyWall is a very low resource whitelist-only front end for Windows Firewall; Portmaster is a comprehensive network firewall. Source: about 2 years ago
View more

What are some alternatives?

When comparing NumPy and TinyWall, 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.

GlassWire - Visualize network activity in detail, get notified when new apps access the network, look out for...

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

Windows 10 Firewall Control - Windows 10 Firewall Control: simple and exhaustive solution for applications network activity controlling and monitoring.

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

Windows Firewall Control - Windows Firewall Control is not the built in firewall system in the Windows operating systems.

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