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NumPy VS Microlink

Compare NumPy VS Microlink and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Microlink logo Microlink

Extract structured data from any website
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Microlink Landing page
    Landing page //
    2023-09-24

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.

Microlink features and specs

  • Ease of Implementation
    Microlink provides a straightforward API that is easy to integrate into various applications, enabling users to quickly extract web data.
  • Customizability
    The platform allows users to tailor the extraction process to their specific needs, including modifying data extraction settings and using custom rules.
  • Performance
    Microlink's infrastructure is built for handling large-scale requests efficiently, providing fast data retrieval from various sources.
  • Versatile Data Extraction
    It supports a wide array of data extraction use cases, such as scraping metadata, articles, and other web page elements from different websites.
  • Support & Documentation
    The service offers comprehensive documentation and reliable customer support to help users effectively utilize the platform.

Possible disadvantages of Microlink

  • Pricing Structure
    For smaller projects or individual use, the cost might be prohibitive, as Microlink generally targets larger-scale operations that require frequent data extraction.
  • Limited Free Tier
    The free tier of the service has limitations in terms of the number of requests, which may not be sufficient for users with substantial data needs.
  • Potential Overhead
    Depending on the project's complexity, there might be additional overhead in setting up API requests and handling data management post-extraction.
  • Reliance on Web Stability
    Like any web scraping service, its effectiveness can be impacted by changes in the target websites' structures or anti-scraping measures.

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.

Analysis of Microlink

Overall verdict

  • Microlink (microlink.io) is a good tool, especially for those looking to easily extract and process content from web pages.

Why this product is good

  • Microlink provides a powerful API for extracting content from websites, making it useful for developers and businesses looking to automate data retrieval.
  • It is easy to integrate into projects, with straightforward documentation and support.
  • Microlink supports various data processing features, such as screenshot generation, PDF conversion, and data transformation, adding versatility.
  • The tool is efficient in terms of speed and reliability, ensuring quick and accurate data retrieval.
  • Microlink offers customization options, which allow users to tailor the output according to their needs.

Recommended for

  • Developers who need to automate web content extraction.
  • Businesses or individuals needing to gather web data for analysis or reporting.
  • Digital marketers wanting to scrape or monitor competitor content.
  • Content creators automating content collection for aggregation or curation services.

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

Microlink videos

+ Add

Update: Microlink Extensions on NATURAL HAIR | HONEST REVIEW!

More videos:

  • Review - FIRST TIME GETTING MICROLINKS (EXTENSIONS) + REVIEW: ARE THEY WORTH THE PRICE!?

Category Popularity

0-100% (relative to NumPy and Microlink)

NumPy

Microlink

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Web Scraping
0 0%
Web Scraping
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Automation
0 0%
Automation
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 Microlink

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

Microlink Reviews

We have no reviews of Microlink yet.
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Social recommendations and mentions

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

Microlink mentions (5)

  • This weird IFRAME thing wasted my 2 days (and counting...)
    It's a very basic idea. Few days back, I got to know about this tool named 'microlink' which is a free Browser-as-API sdk. One of its feature was that you provide it a url and it will give you a screenshot of that particular page. - Source: dev.to / 10 months ago
  • Newpipe/yt-dlp stops working
    How do the multiple startups that import YouTube video into their platform work - one's that need the video/audio files? There seems to be a lot of webapps supporting this but I always wondered if they have a goto API for doing this. I myself have used microlink at some points for automated video source extraction. https://microlink.io. - Source: Hacker News / 11 months ago
  • Creating a serverless function to scrape web pages metadata
    Metascraper is baked by Microlink, which uses it internally in its browser automation product. - Source: dev.to / almost 4 years ago
  • Show HN: Till – Unblock and scale your web scrapers, with minimal code changes
    These guys bypass cloudflare https://microlink.io it's open source but it's just more convenient to pay and forget about it. - Source: Hacker News / almost 4 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Microlink.io – It turns any website into data such as metatags normalization, beauty link previews, scraping capabilities or screenshots as a service. 250 reqs/day every day free. - Source: dev.to / almost 4 years ago

What are some alternatives?

When comparing NumPy and Microlink, 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.

BrowserCat - Easy, fast, and reliable browser automation and headless browser APIs. The web is messy, but your code shouldn't be.

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

Apify - Apify is a web scraping and automation platform that can turn any website into an API.

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

Scrapy - Scrapy | A Fast and Powerful Scraping and Web Crawling Framework

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