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News API VS Jupyter

Compare News API VS Jupyter and see what are their differences

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News API logo News API

Get live headlines from a range of news sources

Jupyter logo Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
  • News API Landing page
    Landing page //
    2021-12-12
  • Jupyter Landing page
    Landing page //
    2023-06-22

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.

Jupyter features and specs

  • Interactive Computing
    Jupyter allows real-time interaction with the data and code, providing immediate feedback and making it easier to experiment and iterate.
  • Rich Media Output
    It supports output in various formats including HTML, images, videos, LaTeX, and more, enhancing the ability to visualize and interpret results.
  • Language Agnostic
    Jupyter supports multiple programming languages through its kernel system (e.g., Python, R, Julia), allowing flexibility in the choice of tools.
  • Collaborative Features
    It enables collaboration through shared notebooks, version control, and platform integrations like GitHub.
  • Educational Tool
    Jupyter is widely used for teaching, thanks to its easy-to-use interface and ability to combine narrative text with code, making it ideal for assignments and tutorials.
  • Extensibility
    Jupyter is highly extensible with a large ecosystem of plugins and extensions available for various functionalities.

Possible disadvantages of Jupyter

  • Performance Issues
    For larger datasets and more complex computations, Jupyter can be slower compared to running scripts directly in a dedicated IDE.
  • Version Control Challenges
    Managing version control for Jupyter notebooks can be cumbersome, as they are not plain text files and include metadata that can make diffing and merging complex.
  • Resource Intensive
    Running Jupyter notebooks can be resource-intensive, especially when working with multiple large notebooks simultaneously.
  • Security Concerns
    Because Jupyter allows code execution in the browser, it can be a potential security risk if notebooks from untrusted sources are run without restrictions.
  • Dependency Management
    Managing dependencies and ensuring that the notebook runs consistently across different environments can be challenging.
  • Less Suitable for Production
    Jupyter is often considered more as a research and educational tool rather than a production environment; transitioning from a notebook to production code can require significant refactoring.

Analysis of News API

Overall verdict

  • Yes, News API is considered to be a good option for accessing news data programmatically. Its comprehensive features, broad source coverage, and user-friendly design make it a valuable tool for developers looking to incorporate real-time news into their applications. However, users should evaluate the free versus paid tiers to ensure it meets their specific needs.

Why this product is good

  • News API is a popular solution for developers who want to integrate news data into their applications or websites. It provides access to a wide range of articles from various sources across different categories. The API is appreciated for its ease of use, comprehensive documentation, and reliable service. Additionally, News API allows for keyword searching, filtering by language and country, and sorting by relevance or date, which adds to its versatility and usefulness.

Recommended for

  • Developers wanting to integrate diverse news content into their applications.
  • Businesses seeking to enhance their platforms with real-time news updates.
  • Researchers looking for an easy way to access news data from multiple sources for analysis.
  • Individuals or organizations requiring reliable and customizable news feeds.

News API videos

JavaScript Fetch API: Interacting With The News API

Jupyter videos

What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

Category Popularity

0-100% (relative to News API and Jupyter)
News
100 100%
0% 0
Data Science And Machine Learning
APIs
100 100%
0% 0
Data Dashboard
0 0%
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 Jupyter

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.
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

Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for dozens of others.
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.

Social recommendations and mentions

Based on our record, Jupyter should be more popular than News API. It has been mentiond 216 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 (50)

  • A Beginner’s Guide to Developing a News App in React Native
    Const API_KEY = 'YOUR_NEWS_API_KEY'; Const BASE_URL = `https://newsapi.org/v2/top-headlines?country=us`; Export const fetchNews = async () => { try { const res = await fetch(`${BASE_URL}&apiKey=${API_KEY}`); const data = await res.json(); return data.articles; } catch (err) { console.error("Failed to fetch news:", err); return []; } };. - Source: dev.to / 8 days ago
  • 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 / about 1 month 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 / 7 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 / 8 months ago
View more

Jupyter mentions (216)

  • The 3 Best Python Frameworks To Build UIs for AI Apps
    Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / 2 months ago
  • LangChain: From Chains to Threads
    LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 3 months ago
  • Applied Artificial Intelligence & its role in an AGI World
    Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 5 months ago
  • Jupyter Notebook for Java
    Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 9 months ago
  • JIRA Analytics with Pandas
    One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 12 months ago
View more

What are some alternatives?

When comparing News API and Jupyter, you can also consider the following products

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

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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

Google BigQuery - A fully managed data warehouse for large-scale data analytics.