Software Alternatives, Accelerators & Startups

Scikit-learn VS Patreon

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

Scikit-learn logo Scikit-learn

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

Patreon logo Patreon

Patreon enables fans to give ongoing support to their favorite creators.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Patreon Landing page
    Landing page //
    2023-07-26

Patreon

$ Details
-
Release Date
2013 January
Startup details
Country
United States
State
California
Founder(s)
Jack Conte
Employees
500 - 999

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Patreon videos

Patreon Review & Tips! You Need to Know!

More videos:

  • Tutorial - How to Setup A Successful Patreon - A Patreon Tutorial
  • Review - What to Know Before Starting Patreon

Category Popularity

0-100% (relative to Scikit-learn and Patreon)
Data Science And Machine Learning
Crowdfunding
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Fundraising And Donation Management

User comments

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Reviews

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

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...

Patreon Reviews

  1. 1

    Thinks of Patreon as a tip jar for your favorite creators. You give them money, they give you something intresting


Top 12 Alternative Social Media Platform to Consider: An Overview
Calling it a ‘social media platform’ might be a stretch, but Patreon is its own vibrant ecosystem where creators and patrons tango. Imagine a stage teeming with artists, musicians, writers, and other passionate souls, each performing unique acts such as painting landscapes, strumming guitar melodies, weaving captivating stories.
8 Best Patreon Alternatives for Creators (2023)
Ko-fi is another Patreon alternative that lets you receive donations and memberships and sell digital or physical items to your fans. It’s free and easy to use, and there are no fees or commissions taken on donations. You can create a page for your project, set up a payment method, and start accepting payments from your fans in minutes.
Source: talkbitz.com
8 Best Patreon Alternatives & Competitors For 2023 (Comparison)
One of the problems with using Patreon is that you’re building your community on someone else’s platform. Not only is this bad for branding, but it also means you have limited control and no true ownership of your revenue source. And of course, you’re also subject to Patreon’s transaction fees.
11 Patreon Alternatives for Audience Monetization in 2023
That’s everything about using Patreon to get support from your fanbase. Here are some alternatives to Patreon to help you raise funds for your creative pursuits.
Source: www.uscreen.tv
How to Sell Art Online and Make Money From Home
Artists can make money from their art on Patreon through a subscription-based model. Fans pay for exclusive experiences and behind-the-scenes content. Create art on your terms and keep 90% of the profits. Patreon keeps 5%, and transaction fees are around 5% as well. There are a variety of ways you can earn on this platform. I would recommend visiting their site and looking...

Social recommendations and mentions

Patreon might be a bit more popular than Scikit-learn. We know about 33 links to it since March 2021 and only 29 links to Scikit-learn. 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 (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 / 14 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
View more

Patreon mentions (33)

  • Privacy settings on youtuber's content
    Is it possibly only viewable on patreon.com? Source: 7 months ago
  • Hmm. We’re having trouble finding that site. We can’t connect to the server at www.patreon.com. If you entered the right address, you can: Try again later Check your network connection Check that Firefox has permission to access the web (you might be connected but behind a firewall)
    An error occurred during a connection to patreon.com. Source: about 1 year ago
  • Are the chapters on patreon/royalroad the final version?
    Hey Matt, I wake up every morning and open patreon.com to receive my dose of a new chapter to keep me sane. It's been more than 13 days :( with no new chapter. Source: about 1 year ago
  • Can I Get Donations for My Mental Health Site?
    Once the page is up, you can embed links to e.g. BuyMeACoffee.com or patreon.com or even simply Paypal so people can contribute to your blog. However, first of all you need to get traffic to your site. Source: about 1 year ago
  • Next update when?
    You can subscribe to the patreon, https://www.patreon.com/pabloleban, to get early access patch notes on the discord server. Source: over 1 year ago
View more

What are some alternatives?

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

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

Buy Me A Coffee - A free, fast and friendly way to accept donations 💰

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

Ko-fi - Ko-fi offers a friendly way for content creators to get paid for their work.

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

Kickstarter - Kickstarter is the world's largest funding platform for creative projects. A home for film, music, art, theater, games, comics, design, photography, and more.