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Distill.io VS NumPy

Compare Distill.io VS NumPy 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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Contents:
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  3. » Reviews
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Distill.io logo Distill.io

Distill.io is one of the advanced page monitoring tools used by professionals to monitor dynamic pages, feeds, and iframes.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Distill.io Landing page
    Landing page //
    2023-07-27
  • NumPy Landing page
    Landing page //
    2023-05-13

Distill.io features and specs

  • Real-time Monitoring
    Distill.io provides real-time monitoring capabilities, allowing users to track changes on websites as they happen. This is particularly useful for keeping up-to-date with time-sensitive information.
  • Customization
    Users can customize the tracking frequency and specific elements to monitor on a webpage, giving them control over what information they want to track and how often they receive updates.
  • User-friendly Interface
    The platform offers a straightforward and intuitive interface, making it accessible for users without extensive technical skills to set up website monitoring.
  • Multi-platform Support
    Distill.io supports various platforms including web browsers, mobile devices, and desktops, providing users with flexibility in accessing their monitoring data.

Possible disadvantages of Distill.io

  • Limited Free Plan
    The free version of Distill.io has significant restrictions on the number of monitors and frequency of checks, which may not be sufficient for users with extensive monitoring needs.
  • Potentially High Costs
    For users requiring more frequent monitoring or additional features, the cost can escalate, making it less affordable for personal or small business use.
  • Complex Setup for Advanced Users
    While the basic setup is user-friendly, configuring more advanced monitoring options can be complex and challenging for those who are not technically inclined.
  • Browser Dependency
    Distill.io is heavily reliant on web browsers, which could lead to issues if there are changes or updates to browser security settings or compatibility.

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.

Distill.io videos

+ Add

How To Monitor Website Changes? - Distill.io Chrome Extension

More videos:

  • Review - Data Alerts with Distill.io

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

Category Popularity

0-100% (relative to Distill.io and NumPy)

Distill.io

NumPy

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Website Monitoring
100 100%
Website Monitoring
0% 0
Data Science Tools
0 0%
Data Science Tools
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 Distill.io and NumPy

Distill.io Reviews

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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

Social recommendations and mentions

NumPy might be a bit more popular than Distill.io. We know about 119 links to it since March 2021 and only 82 links to Distill.io. 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.

Distill.io mentions (82)

  • Tips for people waiting for the Refurbished Steam Deck restock
    First of all, you probably don't want to manually refresh the Steam page to check if the SD is back in stock, so I recommend installing a website monitoring extension. There are a few out there but I can vouch for distill.io because it has a free tier with unlimited local checks. Set the intervals as low as you want, but keep in mind that the last restock lasted about 45 minutes - 1 hour. I personally set mine to... Source: over 1 year ago
  • Website change trackers
    Recently found out about website change trackers and had to share, like distill.io and fetchnotifs (not affiliated btw). I use them like everyday for amazon items and general stuff. Source: almost 2 years ago
  • Canyon Endurace CF out of stock
    You can also try notify-me.rs . It's super simple tracker, and has more checks than distill.io , we have bunch of people from this subreddit using it already! Source: almost 2 years ago
  • NEW SERIES OF JEFF DRAWINGS ON SALE
    Were these even advertised anywhere online? Insane how fast the 6x8s went. Glad I've had a distill.io alert set there for like 2 years now haha. Source: almost 2 years ago
  • What is the best free tool or code to monitor visual changes to a website in real time? (e.g. Distill.io)
    Distill.io offers every 5 seconds but it seems I need an upgraded account to be able to select this interval using the Device "Cloud-Distill's Severs (this device)". So it seems I'd need to always be on my computer in order for it to run. So I selected "Any Local Device (beta)" for device. Description for "Device" = Select device that this monitor runs on. Other devices will appear in the list once all devices... Source: almost 2 years 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 Distill.io and NumPy, you can also consider the following products

Visualping - Visualping is the easiest to use website checker, webpage change monitoring, website change detector and website change alert software of the web. Read more about Visualping.

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

Monity.ai - Monitor website changes in real time with Monity.ai – Stay informed with AI-powered alerts and never miss anything happening on the internet.

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

Browse AI - Automate any workflow on any website with no code. Used for monitoring, testing, automation, and data aggregation.Sign up now for free and receive 2x jobs per month – forever!

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

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