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Signal VS NumPy

Compare Signal VS NumPy and see what are their differences

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Signal logo Signal

Fast, simple & secure messaging. Privacy that fits in your pocket.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Signal Landing page
    Landing page //
    2023-07-20
  • NumPy Landing page
    Landing page //
    2023-05-13

Signal features and specs

  • End-to-End Encryption
    Signal uses end-to-end encryption to ensure that only the sender and the recipient can read the messages. This makes it highly secure against eavesdropping.
  • Open Source
    Signal's code is open source, allowing anyone to inspect, audit, and improve it. This transparency helps to build trust and ensure the security of the platform.
  • User Privacy
    Signal is designed to collect minimal data from its users. It does not store metadata about contacts, messages, or user activity, thereby prioritizing user privacy.
  • Cross-Platform Availability
    Signal is available on a variety of platforms including iOS, Android, and desktop, making it accessible to a broad range of users.
  • Multi-purpose Usage
    Beyond just text messaging, Signal supports voice and video calls, as well as file sharing, making it a versatile communication tool.

Possible disadvantages of Signal

  • Limited User Base
    Compared to more popular messaging apps like WhatsApp and Facebook Messenger, Signal has a smaller user base, which may limit its utility as a communication tool.
  • Dependence on Phone Number
    Signal requires users to register with a phone number, which can be a privacy concern for some people who prefer not to share their number.
  • Backup Limitations
    Signal does not offer cloud backups for messages, which means users have to rely on local backups that can be more cumbersome to manage.
  • User Interface
    Some users find Signal's user interface to be less polished and user-friendly compared to other mainstream messaging apps.
  • Notification Issues
    There have been reports of unreliable notifications that can result in missed messages or calls, potentially impacting the user experience.

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.

Signal videos

Why We Should All Be Using Signal Messenger

More videos:

  • Review - WhatsApp vs Telegram vs Signal: Which is the BEST?!
  • Review - THE SIGNAL: explained

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

Category Popularity

0-100% (relative to Signal and NumPy)
Communication
100 100%
0% 0
Data Science And Machine Learning
Group Chat & Notifications
Data Science Tools
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 Signal and NumPy

Signal Reviews

7 best Mattermost alternatives for secure business messaging
Signal offers a secure instant messaging platform for businesses and others concerned about privacy. On Signal, business teams communicate one-on-one or in groups through text, voice, or video calls. The software is open-source and the server, mobile, and desktop client is published through AGPL v3.0 restrictive license. All data and messages are end-to-end encrypted.
Source: www.rocket.chat
20 Telegram Alternatives to Chat With in 2024
Signal is not a broadcasting app (although it does have a stories feature), nor is it a community-building app. It's a simple messaging Telegram alternative for those wanting to chat with friends.
10 Best Secure Messaging Apps to Keep Your Conversation Private
In our comparison between Signal vs Telegram vs WhatsApp, we found that Signal is the most secure messaging app out there. Signal uses the gold standard, open-source Signal Protocol to implement end-to-end encryption. And it implements E2E encryption on all forms of communication on Signal– be it voice/video calls, chat messages, media, or audio clips.
Source: beebom.com
10 Best Telegram Alternatives in 2024
Signal is an alternative Telegram app which was first developed in the year 2014 by Moxie Marlinspike and Brian Acton, Signal was launched after whatsapp and after its launch various organizations shifted their work to Signal from Whatsapp due to its highly secured and safe features than any other app.
Top 10 Apps like Telegram for Android and IOs [2023]
Signal is a messaging program that offers all the features you would anticipate from a modern instant messaging app, with a heavy focus on privacy. Signal is one of the safest messaging apps on the market thanks to its open-source architecture, end-to-end encryption, and commitment to never accumulating user data. If you're seeking secure apps like Telegram, Signal's...

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

Social recommendations and mentions

Based on our record, Signal should be more popular than NumPy. It has been mentiond 184 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.

Signal mentions (184)

  • Magic of software; what makes a good engineer also makes a good engineering org
    This is the Moxie that created Signal.[0] I'm pointing this out because people are acting like he's a bit naive. But Moxie has built a very successful company, without the need for VCs, and the tech is used by many big tech companies. Several use the signal protocol. It's a successful nonprofit building open source software. If your focus is to make large amounts of money, maybe his isn't the best advice. But if... - Source: Hacker News / 5 days ago
  • Rely less on Third-Party Services
    Signal is an end-to-end encrypted messenger,. - Source: dev.to / 3 months ago
  • How to Make a Product Secure: A Developer's Perspective
    Signal: This messaging app is built with end-to-end encryption at its core. It’s open-source, allowing experts worldwide to audit its security protocols. - Source: dev.to / 5 months ago
  • 3G Cell Service Has a HUGE Security Flaw. 🫢
    Well, the best thing you can do right now is stop using cell service (particularly 3G networks) whenever possible. For texting and phone calls, use an encrypted internet based service, like Signal or WhatsApp. Use authenticator apps or passkeys for two-factor authentication instead of your phone number. - Source: dev.to / 8 months ago
  • WhatsApp forces Pegasus spyware maker to share its secret code
    Just so you know: https://grapheneos.org/ and https://signal.org/ do exist! - Source: Hacker News / about 1 year ago
View more

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

What are some alternatives?

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

Telegram - Telegram is a messaging app with a focus on speed and security. It’s superfast, simple and free.

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

Element.io - Secure messaging app with strong end-to-end encryption, advanced group chat privacy settings, secure video calls for teams, encrypted communication using Matrix open network. Riot.im is now Element.

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

WhatsApp - WhatsApp Messenger: More than 1 billion people in over 180 countries use WhatsApp to stay in touch with friends and family, anytime and anywhere.

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