Software Alternatives, Accelerators & Startups

NumPy VS Netumo

Compare NumPy VS Netumo and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Netumo logo Netumo

Ensure healthy website performance, uptime, and free from vulnerabilities. Automatic checks for SSL Certificates, domains and monitor issues with your websites all from one console and get instant notifications on any issues.
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  • NumPy Landing page
    Landing page //
    2023-05-13
  • Netumo Landing page
    Landing page //
    2021-12-01

Monitors your Sites' uptime, security, performance, Domain Name Expirations, and SSL Certificates 24/7. Netumo is not just an uptime monitor but a console to manage all your sites and ensure they are healthy. Check the performance of your site, the SEO and best practices as well as run vulnerability scans on the site.

Netumo also informs you if there is any downtime immediately via one of our integrated message platform, such as Email, SMS, Twilio, Webhooks, Slack, Webex and Microsoft Teams.

Start with a FREE Account today.

Netumo

Website
netumo.com
$ Details
freemium $9.0 / Monthly (Lite plan)
Platforms
Cloud Browser Android Google Chrome Azure
Release Date
2020 March

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.

Netumo features and specs

  • Monitoring
  • SSL Monitoring
  • Twitter
  • SMS notifications
  • Email notifications
  • Slack Notifications
  • Microsoft Teams Notifications
  • RESTful API
  • API Monitoring
  • Telegram Notifications
  • SaaS
  • Android App
  • Status Pages

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

Netumo videos

Netumo Overview

More videos:

Category Popularity

0-100% (relative to NumPy and Netumo)
Data Science And Machine Learning
Monitoring Tools
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Website Monitoring
0 0%
100% 100

Questions and Answers

As answered by people managing NumPy and Netumo.

What makes your product unique?

Netumo's answer:

Netumo is not just an uptime monitoring platform. It offers more as uptime is just one part of a healthy website. Security, SEO checks and more are all as important.

Why should a person choose your product over its competitors?

Netumo's answer:

Netumo is unique as it offers various checks that truly check the if a website is healthy such as the vulnerability assessment, the performance, and more. It not only gives the problem but provides points on how to solve the issues.

How would you describe your primary audience?

Netumo's answer:

Any organization that has multiple websites and portals that need to be monitored and checked that they are running smoothly.

-Web Developers -Web Agencies -IT Departments that manage multiple portals and websites

What's the story behind your product?

Netumo's answer:

Netumo started as we saw a gap in the market from online tools that just check uptime and do not check other aspects of a website. It is vital for any organization that manages multiple websites to have a central console where they can see them all and check them not just that they are alive, but their security is fine and that they are truly healthy.

Which are the primary technologies used for building your product?

Netumo's answer:

Netumo is running on Microsoft Azure. It also does use several open source technologies to keep some checks running smoothly such as Lighthouse from Google Chrome, Nuclei, and also Azure Open AI.

User comments

Share your experience with using NumPy and Netumo. 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 Netumo

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

Netumo Reviews

  1. Christian Bugeja
    · Senior Solutions Architect at EML ·
    Must have Monitoring Tool

    A tool that I've introduced at my work place and for sure made it a lot easier for staff (DevOps/SysOps/NOCs/Managers,etc) to monitor Domains, Hosts, APIs, SSL Certs and more. Highly recommended to have this monitoring buddy at hand :)

  2. Great tool for a fraction of what you pay for competitors

    Netumo is a very flexible tool that has all the features of any website monitoring service at a fraction of the price! My preferred feature is the Keyword Content Notification, where Netumo not only checks if the site is up but can check for certain content! Highly Recommended!

    🏁 Competitors: Pingdom
    👍 Pros:    Good price|Feature rich|User friendly interface|Great user experience|Reliable
    👎 Cons:    Mobile app needs to catch up to web app
  3. Carl
    · Student at N/A ·
    Very reliable and unbelievable prices!

    I thought Netumo was very useful for me. Was always notified when my website had issues. I liked the new UI very much and also found the new response time report very useful. Very easy to use and very good value for money especially since the prices were very affordable. Being a student I thought the free plan was very convenient to test out my new website.


Top 48+ Best Website Monitoring Software
Netumo monitors your websites and checks it’s content based on a frequency you set. As soon as something happens you get immediately notified via Email/SMS/Twitter.

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

Netumo mentions (0)

We have not tracked any mentions of Netumo yet. Tracking of Netumo recommendations started around Mar 2021.

What are some alternatives?

When comparing NumPy and Netumo, 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.

UptimeRobot - Free Website Uptime Monitoring

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

RedGate SQL Monitor - SQL Monitor helps you and your team find issues – before they become problems

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

ServerSuit - ServerSuit is a browser based program that enables remote Linux administration, monitoring, website hosting, and server setup automation.