Software Alternatives & Reviews

NumPy VS ShoutOUT

Compare NumPy VS ShoutOUT and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

ShoutOUT logo ShoutOUT

All in one business texting tool to send personalized alerts, promotions, reminders, short links and marketing campaigns, for any SMEs (hotels, restaurants, education, non profits, Woocommerce, banks, healthcare, agencies, supermarkets, weddings)
  • NumPy Landing page
    Landing page //
    2023-05-13
  • ShoutOUT Landing page
    Landing page //
    2023-01-24

ShoutOUT is a customer communication platform for personalized SMS campaigns. Users can send unlimited local and international SMS to unlimited contacts. Whether you need to send personalized and custom team alerts, business promotions, event reminders, short links or any type of marketing campaign, ShoutOUT comes with the perfect set of features to cater to them all.

Any SMEs from any industry, including but not limited to hotels, restaurants, education, non profits, Woocommerce, banks, healthcare, talent agencies, real-estate, supermarkets, retail, and other use cases such as inter-office communication systems, weddings invitations and updates, event updates, voting systems, influencer subscriptions can use ShoutOUT to streamline their communications.

Our solutions

  • Personalized SMS Marketing

Messaging platform and campaign management with bulk SMS, personalization, customization, custom sender ID, URL tracking and analytics. (getshoutout.com)

  • SMS API and OTP API

SMS API for hassle-free two-way messaging & OTP API for two factor authentication code generation and validation. (lite.getshoutout)

  • Shared Inbox

Omnichannel messaging platform for SMS, WhatsApp, Messenger, Instagram, with multiple admins and a chatbot. (getshoutout.com/inbox)

NumPy features and specs

No features have been listed yet.

ShoutOUT features and specs

  • Personalized messaging: Yes
  • List management: Yes
  • Built-in URL shortening: Yes
  • Custom Attributes: Yes
  • Saved templates: Yes
  • Custom sender ID: Yes
  • Campaign analytics: Yes
  • Click tracking: Yes
  • Scheduling: Yes
  • Unicode: Yes
  • Segmentation: Yes
  • Two Factor Authentication (2FA): Yes
  • Two way SMS texting: Yes
  • Multiple Users: Yes

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

ShoutOUT videos

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

+ Add video

Category Popularity

0-100% (relative to NumPy and ShoutOUT)
Data Science And Machine Learning
SMS Marketing
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Email Marketing
0 0%
100% 100

User comments

Share your experience with using NumPy and ShoutOUT. 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 ShoutOUT

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, NumPy seems to be a lot more popular than ShoutOUT. While we know about 107 links to NumPy, we've tracked only 5 mentions of ShoutOUT. 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 (107)

  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 months ago
  • JSON in data science projects: tips & tricks
    Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 2 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
  • A Comprehensive Guide to NumPy Arrays
    Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
  • Beginning Python: Project Management With PDM
    A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
View more

ShoutOUT mentions (5)

  • Why we switched from docker to serverless
    Here at ShoutOUT, we’ve been happily operating on Amazon Web Services for years. But there is always room for improvement. Luckily, we have the kind of team that doesn’t hesitate to embrace new technologies that will improve the platform-and that’s the very reason why we decided to try serverless architecture. - Source: dev.to / about 2 years ago
  • SMS Platform - Apps for integrations
    As the next step of ShoutOUT (https://getshoutout.com/) we are going to add integrations to the platform. I would like to know your preferred apps integrate with our SMS platform. Source: about 2 years ago
  • How should I validate my product in the US market?
    Hey folks, I am building a business texting tool (https://getshoutout.com/) It’s not built for a very specific market. Product is pretty general in this space. Source: over 2 years ago
  • Looking for feedback on a business texting SaaS product
    Hey Community, we are launching a business texting tool in the US market. You can test our product from anywhere in the world. We appreciate it if you would like to give any feedback on our website content, product onboarding, UI/UX, etc. - https://getshoutout.com/. Source: over 2 years ago
  • I am building a SaaS product from outside US. but I want to scale my product in the US market.
    Thanks a lot for the comments! I have already registered the company in the US market. We started Google CPC campaigns with a smaller budget. Yes, we are seeing users registering now. But they are hardly converting to a paid customer.(We are doing well in my market) If you are curious here’s my SaaS product- https://getshoutout.com. Source: over 2 years ago

What are some alternatives?

When comparing NumPy and ShoutOUT, 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.

ProTexting - ProTexting offers mobile marketing tools for businesses to communicate with their audience via SMS & MMS campaigns.

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

Trumpia - SMS Marketing and Marketing Automation software for Mass SMS, internal communications & emergency alerts. #1 Text Messaging Service used by Fortune 500s.

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

Clickatell - Simple, reliable mobile messaging cloud.