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python pillow VS import.io

Compare python pillow VS import.io and see what are their differences

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python pillow logo python pillow

The friendly PIL fork (Python Imaging Library). Contribute to python-pillow/Pillow development by creating an account on GitHub.

import.io logo import.io

Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.
  • python pillow Landing page
    Landing page //
    2023-08-18
  • import.io Landing page
    Landing page //
    2023-06-12

python pillow features and specs

  • Wide Format Support
    Pillow supports a wide range of image file formats including JPEG, PNG, BMP, GIF, and TIFF, which makes it very versatile for various image processing needs.
  • Ease of Use
    The library is known for its simplicity and intuitive API, making it easy for beginners to quickly grasp the basics of image manipulation.
  • Active Development
    Pillow receives regular updates and community support, ensuring that it stays up-to-date and compatible with the latest Python versions.
  • Comprehensive Documentation
    Pillow has extensive documentation which provides clear and helpful guidance for both basic and advanced image processing tasks.
  • Integration
    The library integrates well with other Python libraries, which can be advantageous for more complex projects that require multiple dependencies.

Possible disadvantages of python pillow

  • Performance
    For very large images or complex transformations, Pillow might not be the most efficient in terms of performance compared to specialized libraries.
  • Limited Advanced Features
    While Pillow is great for basic to moderate image processing tasks, it might lack some advanced features found in more specialized image processing libraries.
  • Threading Limitations
    There might be some limitations and issues around threading, which can be a drawback for applications requiring concurrent image processing.
  • Learning Curve for Complex Features
    While basic features are easy to use, implementing more complex image manipulation tasks might require a steeper learning curve.

import.io features and specs

  • Ease of Use
    Import.io offers a user-friendly interface that allows users to easily extract data without needing to write code, making it accessible for non-technical users.
  • Data Integration
    The platform provides robust integration options with various analytics and data storage tools, enabling seamless data workflows.
  • Scalability
    Import.io can handle large volumes of data efficiently, making it suitable for both small and large-scale data extraction projects.
  • Speed
    The tool is designed to extract data quickly, minimizing the time required to obtain and process large datasets.
  • Data Transformation
    Offers features for data transformation and cleaning, allowing users to manipulate the data to fit their needs before export.

Possible disadvantages of import.io

  • Cost
    Import.io can be expensive, especially for businesses or users requiring extensive data extraction and processing capabilities.
  • Learning Curve for Advanced Features
    While basic features are easy to use, mastering the more advanced functionalities can require a significant amount of time and effort.
  • Limited Customization
    There are constraints on customization, which could be limiting for users with complex or highly specific data extraction needs.
  • Occasional Stability Issues
    Users have reported occasional performance and stability issues, which can cause interruptions during data extraction processes.
  • Dependency on Web Structure
    The tool is highly dependent on the structure of the target websites. Any changes in the website's layout can disrupt data extraction processes and require reconfiguration.

python pillow videos

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import.io videos

mobile review extraction using import.io

More videos:

  • Review - Import.io Infinite Scroll Website Data Extraction

Category Popularity

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Data Science And Machine Learning
Web Scraping
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Development Tools
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Data Extraction
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User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare python pillow and import.io

python pillow Reviews

10 Python Libraries for Computer Vision
Pillow (PIL Fork) is a powerful library for image processing tasks. It supports various image formats and provides functionalities such as resizing, cropping, filtering, and adding text to images. Whether you’re working with photographs or generating visual content, Pillow offers an array of tools to manipulate images effectively.
Source: clouddevs.com

import.io Reviews

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Social recommendations and mentions

Based on our record, import.io seems to be more popular. It has been mentiond 2 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.

python pillow mentions (0)

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

import.io mentions (2)

  • Woke up in hella good mood - I guess weekend - how are y’all
    Sort of, import.io is a portion. This could also automate tasks on your local computer as well. Source: about 4 years ago
  • Offering help for Free: If anyone's trying to get a custom internal tool built, I can Help
    This should be possible. But I think you can do this faster with import.io and google sheets. DM me, we'll figure it out. Source: about 4 years ago

What are some alternatives?

When comparing python pillow and import.io, you can also consider the following products

python xlrd - Please use openpyxl where you can... Contribute to python-excel/xlrd development by creating an account on GitHub.

Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.

python docx - Create and modify Word documents with Python. Contribute to python-openxml/python-docx development by creating an account on GitHub.

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

bokeh python - This Python tutorial will get you up and running with Bokeh, using examples and a real-world dataset. You'll learn how to visualize your data, customize and organize your visualizations, and add interactivity.

ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.