Software Alternatives, Accelerators & Startups
Register | Login

Distill Web Monitor VS NumPy

Compare Distill Web Monitor VS NumPy and see what are their differences

SuperOps
Modern PSA and RMM Software for MSP's and IT Teams featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Distill Web Monitor logo Distill Web Monitor

Distill is a web monitoring tool. It can monitor RSS feeds, a webpage or a part of webpage. Alerts in the form of pop-up, audio or emails can be received.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Distill Web Monitor Landing page
    Landing page //
    2023-05-07

Distill is a web monitoring tool. It can monitor RSS feeds, a webpage or a part of webpage. Alerts in the form of pop-up, audio or emails can be received.

Featured highlights:

• Content selection from any webpage including iframes. • Supported actions: • Push notifications on phone • Pop-up • Audio • Email • SMS • Webhook • Easy to use inbox style Watchlist with label, trash etc. • Conditions for smart actions. • History of previous changes for each monitor. • Powerful expressions to select source content. Supports XPath expression, CSS rule or JavaScript expression to select content. • View highlighted changes.

  • NumPy Landing page
    Landing page //
    2023-05-13

Distill Web Monitor features and specs

  • User-Friendly Interface
    Distill Web Monitor features an intuitive and easy-to-navigate interface, making it accessible even for users with limited technical skills.
  • Multi-Platform Support
    It supports multiple browsers and platforms including Chrome, Firefox, and iOS, providing flexibility for users.
  • Customizable Notifications
    Users can tailor notification settings to receive alerts via email, SMS, or push notifications, ensuring they stay informed in real-time.
  • Advanced Monitoring Options
    Offers a range of monitoring options including visual comparison, text recognition, and element-based tracking, catering to various monitoring needs.
  • Free Version Available
    A free basic version of Distill Web Monitor is available, allowing users to try out the service before committing to a paid plan.

Possible disadvantages of Distill Web Monitor

  • Limited Features in Free Plan
    The free version has limited functionalities, such as fewer checks and longer intervals, which may be inadequate for intensive monitoring needs.
  • Pricing
    The cost of premium plans can be relatively high for individuals or small businesses, potentially limiting accessibility for cost-sensitive users.
  • Resource-Intensive
    Running continuous monitoring can consume significant system resources, particularly affecting performance on lower-end hardware.
  • Learning Curve
    While the interface is user-friendly, some of the advanced features and customization options may require a learning curve for less tech-savvy users.
  • Privacy Concerns
    Monitoring sensitive or personal data on some websites could present privacy risks, depending on the sites being tracked and how data is handled.

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.

Analysis of Distill Web Monitor

Overall verdict

  • Overall, Distill Web Monitor is a reliable and efficient tool for those needing to keep up with web page changes. Its robust set of features and ease of use make it a strong choice for both personal and professional use.

Why this product is good

  • Distill Web Monitor is considered good due to its user-friendly interface, customizable monitoring features, and compatibility with various websites. It allows users to track changes on web pages and receive alerts, making it ideal for monitoring price changes, product availability, and content updates.

Recommended for

  • Individuals tracking price changes on e-commerce websites
  • Professionals who need to follow content updates on competitors' sites
  • Researchers who want to monitor specific changes in online publications
  • Anyone interested in receiving timely alerts for changes in web content

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Distill Web Monitor videos

No Distill Web Monitor videos yet. You could help us improve this page by suggesting one.

Add video

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 Web Monitor and NumPy)

Distill Web Monitor

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

Share your experience with using Distill Web Monitor and NumPy. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Distill Web Monitor and NumPy

Distill Web Monitor Reviews

  1. Tarun Jain
    Great tool to keep track of competitor's website

    One of the best tools I have used to keep track of changes on my competitors website. I love the chrome extension and its ease of use.

    👍 Pros:    Advanced features|Easy to use|Chrome extension available|Sync across all my devices

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

Based on our record, NumPy seems to be a lot more popular than Distill Web Monitor. While we know about 119 links to NumPy, we've tracked only 2 mentions of Distill Web Monitor. 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 Web Monitor mentions (2)

  • looking for a specific software
    I haven't used any in recent years so I'm not up to speed with the pros/cons of each, but PageProbe, SiteDelta Watch, and Distill Web Monitor are a few to try. Source: about 3 years ago
  • App monitoring and reading parts of the screen
    I’ve had pretty good luck with the distill web monitor https://distill.io/apps/web-monitor. Source: about 4 years ago

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 / 9 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 / 10 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 / 10 months ago
View more

What are some alternatives?

When comparing Distill Web Monitor 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.

WebSite-Watcher - WebSite-Watcher detects website updates and highlights all changes in the text. WebSite-Watcher monitors web pages, password protected pages, disucssion forums and much more.

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

Wachete - Track web page changes and get notified. Free Sign-up. Have all data in one place

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

Loading...