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Zyte VS Matplotlib

Compare Zyte VS Matplotlib and see what are their differences

HasData
HasData is a top web scraping platform for developers and enterprises. It delivers structured, real-time data from the web using scalable APIs and no-code tools, removing the need to manage proxies, browsers, or anti-bot systems. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Zyte logo Zyte

We're Zyte (formerly Scrapinghub), the central point of entry for all your web data needs.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Zyte Landing page
    Landing page //
    2022-01-09

We are the leader in web data extraction technology and services. We're obsessed with data. And what it can do for businesses.

We help thousands of companies and millions of developers to get their hands on clean, accurate data. Quickly, reliably & at scale. Every day, for more than a decade.

From price intelligence, news and media, job listings and entertainment trends, brand monitoring, and more, our customers rely on us to obtain dependable data from over 13 billion web pages each month.

Zyte (formerly Scrapinghub) serves over 2,000 companies and 1 million developers from across the globe who value accurate, reliable web data to help them run their business.

  • Matplotlib Landing page
    Landing page //
    2023-06-14

Zyte features and specs

  • High-Quality Data Extraction
    Zyte provides powerful web scraping capabilities, allowing for reliable and high-quality data extraction from various websites.
  • Ease of Use
    The platform offers a user-friendly interface and comprehensive documentation, making it easier for both beginners and experienced users to navigate and utilize its features.
  • Compliance and Ethical Scraping
    Zyte emphasizes ethical scraping practices and compliance with website terms of service, helping users avoid legal and ethical issues.
  • Custom Solutions
    Zyte offers tailored data extraction solutions to meet specific business needs, providing customization and flexibility.
  • Scalability
    The platform supports scalable data extraction operations, suitable for both small projects and large-scale enterprise needs.

Possible disadvantages of Zyte

  • Cost
    The pricing for Zyte's services can be relatively high, which may be a barrier for small businesses or individual users with limited budgets.
  • Learning Curve
    Despite its user-friendly design, mastering all the advanced features of Zyte may require a learning curve, particularly for users new to web scraping.
  • Rate Limiting
    Some users may encounter rate limiting or blocking from target websites, which can hinder the data extraction process and require additional strategies to manage.
  • Dependency on Third-Party Websites
    As with any web scraping tool, Zyte's effectiveness can be impacted by changes in the HTML structure of target websites or their policies, requiring constant adaptation.
  • Ethical and Legal Restrictions
    While Zyte promotes ethical scraping, users must still navigate complex legal landscapes, which can vary by region and website, adding operational challenges.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of Zyte

Overall verdict

  • Zyte is considered a good choice for businesses and individuals looking for reliable and efficient web scraping solutions. Its strong customer support, extensive documentation, and user-friendly platform make it well-regarded in the industry.

Why this product is good

  • Zyte (formerly Scrapinghub) is regarded as a good platform because it provides a comprehensive set of tools and services for web data extraction and web scraping. It offers easy-to-use APIs, a robust infrastructure for large-scale data scraping, and services like automated data retrieval and storage. Additionally, Zyte is recognized for its ability to handle complex scraping tasks, such as data extraction from dynamic websites using AJAX or JavaScript.

Recommended for

  • Data scientists and analysts needing web data for research and insights
  • Developers seeking APIs for efficient and scalable data extraction
  • Business professionals requiring market and competitor insights
  • Companies looking for automated and reliable data extraction services

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Zyte videos

+ Add

What is data exraction?

More videos:

  • Review - Scraping and sentiment analysis using Scrapinghub and Amazon Comrehend

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Zyte and Matplotlib)

Zyte

Matplotlib

Web Scraping
100 100%
Web Scraping
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Data Extraction
100 100%
Data Extraction
0% 0
Technical Computing
0 0%
Technical Computing
100% 100

User comments

Share your experience with using Zyte and Matplotlib. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Zyte and Matplotlib

Zyte Reviews

Creating an Automated Text Extraction Workflow โ€” Part 1
The 600 lbs gorilla, Diffbot, comes with a swath of solid APIs but starts at $300, which is ridiculous if youโ€™re just extracting text. Scrapinghubโ€™s News API, Extractor API, and plenty more are better priced if you want an affordable alternative; plus, Extractor API includes a visual online tool for extracting hundreds of articles at once, if you want to do things via UI.
Source: medium.com

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Zyte. While we know about 114 links to Matplotlib, we've tracked only 1 mention of Zyte. 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.

Zyte mentions (1)

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 8 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Zyte and Matplotlib, you can also consider the following products

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

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

Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.

NumPy - NumPy is the fundamental package for scientific computing with Python

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.

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

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