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News API by Contify VS Matplotlib

Compare News API by Contify VS Matplotlib and see what are their differences

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  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

News API by Contify logo News API by Contify

Enrich your applications with noise-free, structured and machine-readable News API

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • News API by Contify Landing page
    Landing page //
    2023-08-09

Contify News API aggregates, deduplicates, and tag company information into a steady stream of noise-free, structured, machine-readable business and industry-relevant news delivered through RESTful APIs, Webhooks, and RSS feeds helping you enrich your applications.

Contify News API provides noise-free, structured, and machine-readable data feeds with tailored endpoints to resonate with your unique business objectives.

Information is aggregated from over 500,000 sources including online news, company websites, social media and custom sources like regulatory portals, review websites, job boards and more.

It integrates into your apps, intranet portals, ERP, CRM, or KMS, helping you to :

โ€ข Drive a market and competitive intelligence program

โ€ข Build new features or launch a new product leveraging personalized market and competitive intelligence

โ€ข Power your analytics program with raw data to surface industry insights and trends relevant to your business

โ€ข Train your AI and Machine Learning models with high-quality datasets

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

News API by Contify features and specs

  • Extensive tracking
    Industry tracking, company tracking, and custom topics.
  • Exhaustive sourcing
    Along with intelligence from over 500,000 sources, we can add upto 200 of your own, custom sources each day.
  • Access to the Contify platform
    Get access to our front-end web application to review the news updates made available to you.
  • Complimentary support
    Get upto ten hours per month of onboarding and technical support from our dedicated support team.

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 News API by Contify

Overall verdict

  • Contify's News API is a solid choice for organizations needing curated, categorized news and market intelligence data delivered programmatically, particularly for competitive intelligence and market research use cases, though it may be less suited for those needing raw, unfiltered news feeds at massive scale.

Why this product is good

  • Provides curated and categorized business news rather than raw feeds, saving downstream processing effort
  • Strong focus on competitive intelligence, industry tracking, and company-specific news monitoring
  • AI-powered tagging and classification helps surface relevant insights faster
  • Supports integration into existing dashboards, CRMs, and BI tools via API
  • Offers customizable taxonomy and filters tailored to business intelligence needs
  • Backed by human curation combined with automation, improving relevance and reducing noise

Recommended for

  • Competitive intelligence and market research teams
  • Corporate strategy and business development departments
  • Sales and marketing teams tracking industry trends and competitors
  • Enterprises building internal intelligence dashboards or newsletters
  • Consulting firms needing aggregated industry and company news
  • Organizations that prioritize curated relevance over raw high-volume news ingestion

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.

News API by Contify videos

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Matplotlib videos

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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to News API by Contify and Matplotlib)

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Matplotlib

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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 News API by Contify and Matplotlib

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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 more popular. It has been mentiond 114 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.

News API by Contify mentions (0)

We have not tracked any mentions of News API by Contify yet. Tracking of News API by Contify recommendations started around Aug 2023.

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 / 5 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 / 9 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 / 10 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 / 11 months ago
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What are some alternatives?

When comparing News API by Contify and Matplotlib, you can also consider the following products

News API - Get live headlines from a range of news sources

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

AYLIEN News API - The leader in Artificial Intelligence powered content analysis solutions.

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

Stock News API - Get relevant stock news from companies in the stock market.

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

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