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NewsBlur VS Scikit-learn

Compare NewsBlur VS Scikit-learn and see what are their differences

Lenns.io
The feed reader for people that want to be in control featured
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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

NewsBlur logo NewsBlur

NewsBlur is a personal news reader that brings people together to talk about the world.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • NewsBlur Landing page
    Landing page //
    2018-09-30
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

NewsBlur features and specs

  • Personalized Reading
    NewsBlur allows you to train its system on what stories you like and dislike, providing you with a more personalized news reading experience.
  • Offline Access
    The mobile apps support offline reading, which is useful for users who want to catch up on news without an internet connection.
  • Story Sharing
    It offers social features, enabling users to share interesting stories and comment within their circle or the public.
  • Third-Party Integration
    NewsBlur supports integration with other apps and services via APIs, enhancing its functionality and convenience.
  • Open Source
    The platform is open-source, which can attract developers who want to contribute to its improvement or customize it for their own needs.

Possible disadvantages of NewsBlur

  • Subscription Cost
    While NewsBlur offers a free tier, its advanced features and better performance require a paid subscription, which may not be appealing to everyone.
  • Complex Interface
    The user interface can be overwhelming for new users due to its numerous features and customization options.
  • Learning Curve
    Due to its rich set of features, there can be a steep learning curve for those unfamiliar with RSS readers or similar platforms.
  • Limited Free Account
    Free accounts are limited to a small number of feeds and some features are restricted, pushing users towards the paid tier for a fuller experience.
  • Occasional Performance Issues
    Users have reported occasional performance issues, especially with large numbers of feeds, affecting the overall experience.

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.

NewsBlur videos

+ Add

Newsblur - an online open-source RSS reader

More videos:

  • Review - Anleitung zum RSS-Feed-Reader Newsblur
  • Tutorial - Newsblur and RSS: A Quick Tutorial

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 NewsBlur and Scikit-learn)

NewsBlur

Scikit-learn

RSS
100 100%
RSS
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
RSS Reader
100 100%
RSS Reader
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using NewsBlur and Scikit-learn. 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 NewsBlur and Scikit-learn

NewsBlur Reviews

19 Best Feedly Alternatives To Track Insights Across The Web
NewsBlur NewsBlur is a web-based RSS reader that provides a simple and fast way to keep up with your favorite websites. It offers features such as filtering, text-to-speech, and the ability to share stories on social media. Web, iOS, Android
Source: technicalustad.com
17 Best RSS Feed Reader And News Aggregation Apps
NewsBlur also has intelligent content filters that you can use to scrutinize the content in your feed. These content discovery filters can actually learn the pattern of your searches and you can teach them too. This way you can see customized stories. Even if a source is publishing articles in bulk, it will show you only those of your interest.
Source: blog.contentstudio.io
The Best RSS Feed Readers for Streamlining the Internet
One thing that sets Newsblur apart is that it's open source. You can see the code on Github, and if you're comfortable with the command line you can even set up your own self-hosted version of Newsblur on your own server.
Source: www.wired.com
Hello, RSS
I looked at what RSS readers were popular by checking out my website analytics. I’ve always seen Feedly and Newsblur in there as referrers, but have also started to see Inoreader as well. Feedly has a robust offering, and it was a product I used a bit many years ago. It has a higher price point than some other services but in the end I just didn’t like the design. It felt...
Source: paulstamatiou.com
Top 6 Free Online RSS Readers
NewsBlur is another popular RSS reader that aims to bring your articles from your favorite sites while maintaining the style of the original site. Easily organize your stories with categories and tags, hide stories you don't like and highlight stories you do like. You can also take a look at some of the third-party apps NewsBlur can be integrated with for even more versatility.
Source: www.lifewire.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

Scikit-learn might be a bit more popular than NewsBlur. We know about 31 links to it since March 2021 and only 21 links to NewsBlur. 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.

NewsBlur mentions (21)

  • Apple courier may have stolen 2 MacBooks, () Apple is not going to help
    As someone who has been on and off the Degoogle train (I ran full LineageOS without Google Play at one point) and is now pretty deep in iOS territory, I'd say the main thing for me has been email. I've used https://www.fastmail.com for a great deal of years now, which is also home to my calendar as well so there's nothing much of value tied to my Google account. YouTube subscriptions would be annoying to lose but... - Source: Hacker News / 6 months ago
  • After more than 20 years, I published my first dirty project
    I also use it for its Popular Bookmarks - I subscribed to its RSS feed in NewsBlur and always have something interesting to read when my other feeds are Empty (they rarely are). - Source: dev.to / over 1 year ago
  • Killed by Google
    There's a bunch of replacements. I like https://newsblur.com but there are 4-6 large-ish similar sites. That said, partially what people miss is the relative cultural hegemony of Google Reader. It was RSS front-and-center, prominently featured on websites, supported by the biggest company in tech, with all the users there and able to take advantage of the (sparse) social features. - Source: Hacker News / over 1 year ago
  • Ask HN: Alternatives to Reddit
    Https://newsblur.com/ I think this might be pretty close to what you're looking for. It's an RSS feed reader with a platform for discussions. - Source: Hacker News / almost 2 years ago
  • With Reddit sunsetting, I'm looking back to RSS. What are the best current tools?
    Currently I'm on Newsblur. But it's really convoluted to Self host - to my "shame" I use their cloud hosted app with premium. It's (over)laden with features that I actually use and cheaper than for example Feedly. Source: almost 2 years 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 NewsBlur and Scikit-learn, you can also consider the following products

Feedly - The content you need to accelerate your research, marketing, and sales.

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

Inoreader - Dive into your favorite content. The content reader for power users who want to save time.

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

Tiny Tiny RSS - Web-based news feed aggregator, designed to allow you to read news from any location, while feeling...

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

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