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NumPy VS Better Uptime

Compare NumPy VS Better Uptime and see what are their differences

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. featured
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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Better Uptime logo Better Uptime

We call you when your website goes down
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Better Uptime Landing page
    Landing page //
    2020-12-18

Better Uptime is a radically better infrastructure monitoring platform that calls the right person on your team if anything goes wrong. Schedule on-call duties, receive helpful alerts, and collaborate on solving incidents faster than ever. Get a beautiful branded status page on your domain and keep your users informed. Made to fit into your workflow with over 100+ integrations.

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.

Better Uptime features and specs

  • Real-Time Monitoring
    Better Uptime offers real-time monitoring to ensure your website is up and running. It provides instant notifications via phone, SMS, email, and Slack.
  • Incident Management
    The platform features built-in incident management to help identify, log, and resolve issues efficiently.
  • Status Pages
    Better Uptime allows you to create public status pages to keep your users informed about current system statuses and any ongoing issues.
  • Global Coverage
    With monitoring nodes worldwide, Better Uptime ensures your site is accessible and provides reliable data on global performance.
  • Advanced Analytics
    The service comes with advanced analytics and reporting features, helping you understand uptime metrics and plan better.
  • Integration Capabilities
    Better Uptime integrates with various third-party services such as Slack, Zapier, and more to streamline your workflow.
  • User-Friendly Interface
    The platform features an intuitive and user-friendly interface, making it easy to navigate and set up monitoring.

Possible disadvantages of Better Uptime

  • Pricing
    The service can be expensive for small businesses or individual users, especially for premium features.
  • Setup Complexity
    Initial setup might be cumbersome for users not familiar with monitoring tools.
  • Feature Limitations in Free Tier
    The free tier is limited and may not offer enough resources for businesses with extensive monitoring needs.
  • Email Notifications Delay
    There might be a slight delay in receiving email notifications as compared to real-time alerts.
  • Customization
    Customization options may be somewhat limited compared to other advanced monitoring tools available in the market.

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

Better Uptime videos

+ Add

Welcome to Better Uptime

Category Popularity

0-100% (relative to NumPy and Better Uptime)

NumPy

Better Uptime

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Website Monitoring
0 0%
Website Monitoring
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 Better Uptime

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

Better Uptime Reviews

  1. Veronika Davies
    Amazing Pingdom alternative!

    User friendly uptime monitoring tool with loads of easy to set up integrations. Definitely recommend!

    👍 Pros:    Easy to use|Slack and teams notification|Reliable
  2. Hannah Lewis
    Great website monitoring service

    I like Better Uptime because it's very reliable and quickly responds to any downtime on my site.

Best API Monitoring and Observability Tools in 2023
Better Uptime offers an API monitoring solution as a part of its complex Uptime Monitoring and Incident management solution. It isn’t specialized to API monitoring and so may not be the best for every user or team size.
Source: apitoolkit.io

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Better Uptime. While we know about 119 links to NumPy, we've tracked only 5 mentions of Better Uptime. 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 / 3 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 / 7 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

Better Uptime mentions (5)

  • Uptime Monitoring
    I use https://betteruptime.com/ for all of my websites with various checks. You can do keyword checks, status error codes and get push notifications + phone calls if it is down for x number of time. Source: about 2 years ago
  • Is there any way to get SMS notifications when Internet at our office goes off?
    For what you are needing, I would try BetterUptime. Source: over 3 years ago
  • Plex Server Availability Status Page
    I am using https://betteruptime.com/ if it matters. Source: over 3 years ago
  • AI devops squad to the rescue: How to use voice AI to make your site reliability engineering more efficient
    // external functions are called from your Dasha conversation in the body of main.dsl file // external functions can be used for calculations, data storage, in this case, to // call external services with HTTPS requests. You can call an external function from DSL // in your node.js file and have it do literally anything you can do with Node.js. // External function. Acknowledge an incident in... - Source: dev.to / over 3 years ago
  • A Tour of Website Monitoring Tools
    Better Uptime, one of the newer alternatives, combines incident management and monitoring in one tool. - Source: dev.to / almost 4 years ago

What are some alternatives?

When comparing NumPy and Better Uptime, 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.

Pingdom - With website monitoring from Pingdom you will be the first to know when your website is down. No installation required. 30-day free trial.

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

StatusCake - Website Uptime Monitoring & Alerts – Free Unlimited Downtime Monitoring

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