Software Alternatives, Accelerators & Startups

Supernotes VS Scikit-learn

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

Supernotes logo Supernotes

The fastest way to take notes and collaborate with friends. Create notecards with Markdown, LaTeX, images, emojis and more. Get started for free!

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Supernotes Landing page
    Landing page //
    2022-02-13

Supernotes is a new way to create notes and collaborate with your friends. Quickly create note-cards with diverse content from task lists to maths equations, with full markdown and LaTeX support. You can tag your cards, find relevant keywords, and sort your cards in an instant. Each and every note-card can be immediately shared, commented on, or collaboratively edited, allowing you to keep all your learning organised, even when working together.

  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Supernotes

$ Details
freemium
Platforms
Windows Mac OSX Linux Android iOS Web
Release Date
2019 October

Supernotes features and specs

  • Clean UI: Yes
  • Responsive Design: Yes
  • Categories: Yes
  • Importing: Yes
  • Markdown: Yes

Scikit-learn features and specs

No features have been listed yet.

Supernotes videos

Supernotes | The new collaborative note-taking app

Scikit-learn videos

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 Supernotes and Scikit-learn)
Productivity
100 100%
0% 0
Data Science And Machine Learning
Note Taking
100 100%
0% 0
Data Science Tools
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 Supernotes and Scikit-learn

Supernotes Reviews

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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...

Social recommendations and mentions

Scikit-learn might be a bit more popular than Supernotes. We know about 29 links to it since March 2021 and only 22 links to Supernotes. 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.

Supernotes mentions (22)

  • SN Pro – a free, open-source font designed for Markdown
    Hey everyone, OP (Tobias) here. We're excited to release SN Pro today, a friendly new typeface that's open source and free for both personal and commercial use. We've carefully re-designed each character, improving support for Markdown and ligatures. For a detailed breakdown of our design process, check out the link [1]. Throughout the development of our app[2] over the past few years, my co-founder Connor and I... - Source: Hacker News / 5 months ago
  • Supernotes App: Get 20 free cards when you sign up using referal code
    Want to try a new way to take notes? Join me on Supernotes, and use my code `xkQEcM` to get 20 extra cards after you sign up. https://supernotes.app. Source: over 1 year ago
  • Ask HN: Why are there no good note taking apps
    Note-taking app [1] founder here. This is a question I hear almost every day, and there's a good reason for that. Note-taking is personal. Everyone wants a note-taking app with just the right features for their personal workflow – whether it's open source, end-to-end encrypted, has handwriting support etc. That's also one of the reasons why the note-taking app and personal knowledge management app market is so... - Source: Hacker News / about 2 years ago
  • Stripe Open Sources Markdoc
    For my startup[1] which is built around Markdown notecards we've been using markdown-it for Markdown parsing and so far I've written a couple of extensions for it and haven't had many issues. [1] https://supernotes.app. - Source: Hacker News / about 2 years ago
  • Inkdrop: Organizing your Markdown notes made simple
    Let's add https://supernotes.app/ to the list right away. :p. - Source: Hacker News / about 2 years ago
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Scikit-learn mentions (29)

  • 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 / 12 days 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 / 4 months 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 1 year ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
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What are some alternatives?

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

Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.

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

Evernote - Bring your life's work together in one digital workspace. Evernote is the place to collect inspirational ideas, write meaningful words, and move your important projects forward.

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

Boostnote - Boostnote is an open-source note-taking​ app.

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