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News API VS Scikit-learn

Compare News API VS Scikit-learn and see what are their differences

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News API logo News API

Get live headlines from a range of news sources

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • News API Landing page
    Landing page //
    2021-12-12
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

News API features and specs

  • Wide Range of Sources
    News API aggregates news from a diverse array of sources, offering access to articles from numerous publishers worldwide. This enables users to get multiple perspectives on news topics.
  • Ease of Use
    The API is straightforward to integrate and use, with clear documentation and example queries that simplify the process of fetching news data.
  • Flexible Query Parameters
    Provides a variety of query parameters, including search by keyword, source, language, and date, allowing for highly customizable news retrieval.
  • Real-time News
    Offers the capability to access the latest news articles as they are published, ensuring users receive up-to-date information.
  • Free Tier Available
    Provides a free tier that allows developers to use the API with a reasonable quota, making it accessible for small projects and initial testing.

Possible disadvantages of News API

  • Rate Limiting
    The free tier imposes rate limits on the number of requests that can be made, which may not be sufficient for high-traffic applications or extensive data collection.
  • Advertisement and Sponsored Content
    Some of the news sources include advertisements and sponsored content, which might not be filtered out by the API, requiring additional parsing and cleanup.
  • Cost for Higher Usage
    While a free tier is available, accessing higher volumes of data or more advanced features can become expensive, potentially impacting budget-constrained projects.
  • Limited Historical Data
    Primarily focused on current news, which means it might offer limited access to historical news articles, constraining research capabilities for past events.
  • Dependency on Third-Party Sources
    Since the API aggregates news from third-party sources, any downtime or issues with these sources can affect the reliability and availability of the news data provided by the API.

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

News API videos

+ Add

JavaScript Fetch API: Interacting With The News API

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to News API and Scikit-learn)

News API

Scikit-learn

News
100 100%
News
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
APIs
100 100%
APIs
0% 0
Data Science Tools
0 0%
Data Science Tools
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 News API and Scikit-learn

News API Reviews

  1. Randall
    · CEP at Optima HOldings ·
    bad documentation and API over charges

    First, the docuemtnation is out of date... for node.js, anyway. This meant that I had to patch together parts of the docuemtnation to get the API to work. Then, as the articles are paginated. the API charges 50 token for each page of the query, when it should be 50 tokens for the entire query. Therefore, I'd been charged 5,000 tokens within minutes. (Note: it's $150 USD for every 10,000 tokens)

    I asked for a refund, explaining the pagination issue, and was told that I made a mistake.

    I've requested my money back from the credit card company and provided them the proof of faulty documentation and billing.

    🏁 Competitors: Alpha Vantage
Top 11 Best News APIs for developers in 2021
The News API allows you to search for published articles using keywords or phrases, languages, publication source names, publication dates, and publication source domain names. You can also sort the results by the date of publication, the popularity of the publication source, or the relevance of the search keyword.
Source: rajat-testprepkart.medium.com
Creating an Automated Text Extraction Workflow — Part 1
The 600 lbs gorilla, Diffbot, comes with a swath of solid APIs but starts at $300, which is ridiculous if you’re just extracting text. Scrapinghub’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

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, News API should be more popular than Scikit-learn. It has been mentiond 49 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 mentions (49)

  • No-Code Magic with n8n: I Built a Cheeky Telegram News Bot in Hours!
    Laubali fetches news from NewsAPI, a great service for pulling news based on categories. To get your API key, follow these steps:. - Source: dev.to / 7 days ago
  • 20 Free APIs to Kickstart Your Side Projects
    Use it for: News aggregators, trend trackers, or sentiment analysis tools. Https://newsapi.org/. - Source: dev.to / 6 months ago
  • Some Free API for Front-end Projects </>
    Description: Provides news articles from various sources and countries. Usage: Useful for news aggregation apps, blogs, or dashboards. Website: NewsAPI. - Source: dev.to / 6 months ago
  • Fine-Tune MistralAI on Koyeb GPUs
    To gather the data (content), we will use an API from NewsAPI.org to get financial news content. You will need to register to get a free API key from NewsAPI.org if you don’t have one. - Source: dev.to / 7 months ago
  • 🔓 10 Free APIs to Power Your Next Project: Unlocking Potential for Developers 🚀
    Import React, { useState, useEffect } from 'react'; function News() { const [articles, setArticles] = useState([]); useEffect(() => { fetch('https://newsapi.org/v2/top-headlines?country=us&apiKey=YOUR_API_KEY') .then(response => response.json()) .then(data => setArticles(data.articles)); }, []); return (
    ...
    - Source: dev.to / 9 months ago
View more

Scikit-learn mentions (31)

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
  • 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
    Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 11 months ago
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / about 1 year ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / almost 2 years ago
View more

What are some alternatives?

When comparing News API and Scikit-learn, you can also consider the following products

Unfiltered.news - What the world is talking about, visualized graphically

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

Google News - Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.

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

Athena News API - Powering data-driven insights from the world’s headlines.

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

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