Software Alternatives, Accelerators & Startups
Register | Login

Scikit-learn VS Pinboard

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

Lenns.io
The feed reader for people that want to be in control featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Pinboard logo Pinboard

Pinboard is a personal archive for things you find online and don't want to forget.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Pinboard Landing page
    Landing page //
    2021-10-16

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.

Pinboard features and specs

  • Simplicity
    Pinboard offers a clean, minimalist interface, making it easy to use without unnecessary complexities or distractions.
  • Speed
    The service operates quickly, with fast loading times and efficient bookmarking processes.
  • Privacy
    Pinboard values user privacy and does not serve ads. They also avoid tracking user activity across the web.
  • Data Portability
    Pinboard allows easy export of your bookmarks, enabling you to retain control of your data and migrate it to other platforms if needed.
  • API Availability
    Pinboard provides a robust API, enabling users to integrate their bookmarking activities with other applications and services.
  • Archiving Feature
    For a fee, Pinboard offers an archiving feature that saves a copy of the bookmarked page, ensuring you can access the content even if it gets taken down.
  • No Algorithmic Feeds
    Pinboard does not use algorithmic feeds, so users see an unfiltered, chronological list of their bookmarks.

Possible disadvantages of Pinboard

  • Cost
    Pinboard is not free; it requires a one-time fee for new users, which might deter those looking for completely free solutions.
  • Outdated Interface
    The user interface, while simple, can appear outdated compared to modern web applications, possibly affecting user experience.
  • Limited Social Features
    Pinboard has limited social features and community engagement options, which may not appeal to users seeking more community involvement and sharing capabilities.
  • Learning Curve for API
    While the availability of an API is a pro, it may present a learning curve for users not familiar with APIs, reducing its accessibility to non-developers.
  • Basic Search Functionality
    The search functionality is relatively basic compared to other bookmarking services that offer more advanced search and filter options.
  • No Mobile Apps
    Pinboard does not have official mobile apps, which could be less convenient for users who prefer native mobile applications for bookmarking.

Analysis of Scikit-learn

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

Analysis of Pinboard

Overall verdict

  • Pinboard is a highly regarded bookmarking service, especially for those who appreciate simplicity and privacy. However, it may not be suitable for users seeking more interactive or collaborative features found in social bookmarking platforms.

Why this product is good

  • Pinboard is a minimalist bookmarking service valued for its simplicity, speed, and ad-free experience. It offers features like saving bookmarks with tags, full-text search, easy import/export of links, and archival of saved pages. The platform is favored by users who prefer a straightforward, reliable tool for managing their online bookmarks without the distraction of social networking features.

Recommended for

  • Users who prefer a minimalist design and fast performance.
  • Individuals looking for a bookmarking tool with strong privacy features.
  • Researchers and digital scholars who need archival capabilities.
  • People who want an ad-free and straightforward bookmarking experience.

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

Pinboard videos

+ Add

Pinboard Bookmarking Review - Part 1

More videos:

  • Review - Using Pinboard to save your digital breadcrumbs as you read online
  • Review - Pinboard Bookmarking Review - Part 2

Category Popularity

0-100% (relative to Scikit-learn and Pinboard)

Scikit-learn

Pinboard

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Bookmarks
0 0%
Bookmarks
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Bookmark Manager
0 0%
Bookmark Manager
100% 100

User comments

Share your experience with using Scikit-learn and Pinboard. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Scikit-learn and Pinboard

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

Pinboard Reviews

  1. Rory
    · Working at Konstrukt - planeringsverktyg ·
    Simple but effective

    While all the other bookmarking sites have died, pinboard.in remains and is a reliable and handy place to save all those links you love but are sure to otherwise forget.

Pinboard vs. Raindrop: Two bookmark apps enter…
I don’t think Pinboard’s added a feature in ten years. It certainly hasn’t added a feature useful to me in that space of time. A year or so ago I got some Twitter DMs from someone (not Cegłowski) indicating that a refactoring and new features were on the way, but I have heard nothing since and don’t particularly expect to. Its documentation is similarly stale, and so are its...
Source: dsalo.info
11 Pocket Alternatives You Must Try Out!
With this tool, you can organize your pile of links into a clean space. With an easy tag option, finding your bookmarks becomes easier with Pinboard.
Source: blog.elink.io
XMarks is Dead on May 1st, 2018 : firefox
pinboard, $11/yr. It says it's a social bookmarking service but everything is private unless you make it public. I don't think bookmarking pages is done through the browser, though, but you can import your bookmarks and just use pinboard instead.
Source: www.reddit.com
Del.icio.us is closing down. Time for a roundup of alternative bookmark managers.
And as of recent events it was sold again to competing service Pinboard which plans - as I've foreseen this - to shut it down almost completely. Today (June 15, 2017) it will be set to read-only mode without ability to save new bookmarks as to preserve the "fascinating piece of web history" that contains around 1 billion of bookmarks.
Source: serafin.io

Social recommendations and mentions

Based on our record, Pinboard should be more popular than Scikit-learn. It has been mentiond 72 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.

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 / 4 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 / 6 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 / about 1 year 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 / over 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 / about 2 years ago
View more

Pinboard mentions (72)

  • Mozilla shutdown Pocket on July 8, 2025
    The classic https://pinboard.in/, maybe? I haven't used it, but it tempts me a few times per decade. - Source: Hacker News / 25 days ago
  • Show HN: I made a tool for curating and sharing links as lists
    I think https://pinboard.in/ is the closest living replacement. - Source: Hacker News / 8 months ago
  • Octothorpes: Hashtags for the Open Internet
    Loved del.ico.us, thanks! I'm using https://pinboard.in/ now for bookmarking and it's an amazing piece of small web software. - Source: Hacker News / 8 months ago
  • Ask HN: How do you all manage your bookmarks?
    I use Pinboard for managing bookmarks. The tag system is very nice! Raindrop is another tool in that space, but I haven’t tried it. https://pinboard.in/ https://raindrop.io/. - Source: Hacker News / 10 months ago
  • Ask HN: How do you build a landing page?
    A lot of it is just practice, but the most common tools I see used are Tailwind, React, Framer Motion, and Figma. This is a pretty diverse portfolio. Tailwind especially somehow produces a very distinct type of design imo. I'm not sure all this design is good. Homogeneity is boring, and I think the shock value of something like https://pinboard.in can be just as, if not more valuable than all these fancy... - Source: Hacker News / about 1 year ago
View more

What are some alternatives?

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

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

Raindrop.io - All your articles, photos, video & content from web & apps in one place.

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

Pocket - When you find something you want to view later, put it in Pocket.

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

Diigo - Diigo is a powerful research tool and a knowledge-sharing community

Loading...