Software Alternatives, Accelerators & Startups

NumPy VS Umso

Compare NumPy VS Umso and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Umso logo Umso

The Website Builder for Startups
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  • NumPy Landing page
    Landing page //
    2023-05-13
  • Umso Landing page
    Landing page //
    2023-01-05

Umso is the fastest way for startups to go live. We automatically generate unique websites based on your use case. You answer questions on your product, and we'll show you what will work.

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

Umso videos

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Category Popularity

0-100% (relative to NumPy and Umso)
Data Science And Machine Learning
Website Builder
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Website Design
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 NumPy and Umso

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

Umso Reviews

Top No Code Website Builders in 2023
Umso, earlier known as Landen, helps build, edit, and publish websites that align with your needs. When building a new website, you will be asked for information regarding your preferences for products, designs, and content. A basic website will then be created for you by Umso’s generating algorithm, which you can further personalize.
13 Best No-Code Website Builders 2023
The platform offers a huge selection of illustrations, images and videos that help customers to build their websites faster than before. Umso gives you the possibility to publish your website for free with their subdomain so you can try it before purchasing the services.
Source: codeless.co
21 Best No Code Tools You Need To Try
If you’re swamped with work and can’t give web development enough time, then Landen is perfect for you. Additionally, if you feel like you do not have the time to customise templates nor design a website from scratch, this tool can help you greatly.
Source: www.cenario.co
33+ Best No Code Tools you will love 😍
What I do like about Umso compared to other landing page/website builders is the process when creating a new site + a powerful visual editor which is easy to use.
25 No-Code Apps and Tools to help build your next Startup
Landen is an amazing tool for no code web development. Play a game of 20 questions while Landen figures out exactly what you need! It’s that simple, no complicated coding required. Landen is great for quickly building amazing landing pages and even some seasoned web development experts are making the switch.
Source: www.ishir.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Umso. While we know about 107 links to NumPy, we've tracked only 3 mentions of Umso. 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 / 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 / 3 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 / 7 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
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Umso mentions (3)

  • Tools I used to scale a lawncare SMB to $40k/mo with around 40% profits
    Umso.com - to create a landing page that everyone on the team could quickly edit. Source: about 1 year ago
  • MicroSaaS - a way to wealth for builders and hustlers
    Notion.so is a tool that helps manage projects and all that good stuff. Many people plan their website content on Notion for their new website or landing page. Then one day, one guy, how's about building a tool that takes that content and turns into a website quickly. BOOM -> potion.so was born. This tool solves a few sound problems: simple to spin up a website through Notion without spending extra effort and... Source: over 2 years ago
  • Advice for Saas development
    First up - inspite of you getting positive feedback for the idea from your connections, put together a concept page using any of the template based site builders like a umso.com, webflow.com etc. And run a simple experiment to see how many of your target audience signs up to get an early bird access to your biz/product. You can also use this to build your initial subscriber/mailing list. Source: over 2 years ago

What are some alternatives?

When comparing NumPy and Umso, 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.

WiX - Create a free website with Wix.com. Customize with Wix' website builder, no coding skills needed. Choose a design, begin customizing and be online today

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

Carrd - Simple, responsive one-page site creator.

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

Webflow - Build dynamic, responsive websites in your browser. Launch with a click. Or export your squeaky-clean code to host wherever you'd like. Discover the professional website builder made for designers.