Software Alternatives, Accelerators & Startups

Scikit-learn VS Versoly

Compare Scikit-learn VS Versoly 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.

Versoly logo Versoly

Versoly is a SaaS landing page builder that has built-in tools to help convert at much higher rate than other builders.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Versoly Landing page
    Landing page //
    2023-05-08

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Versoly videos

Versoly Showcase: Using Versoly to Recreate (Most) of the Freshbooks Homepage in Only 20 Minutes!

Category Popularity

0-100% (relative to Scikit-learn and Versoly)
Data Science And Machine Learning
Website Builder
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Landing Pages
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 Scikit-learn and Versoly

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...

Versoly Reviews

We have no reviews of Versoly yet.
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Social recommendations and mentions

Based on our record, Versoly should be more popular than Scikit-learn. It has been mentiond 50 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 (28)

  • 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 / 3 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 / 12 months 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
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
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Versoly mentions (50)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Versoly — SaaS-focused website builder - unlimited websites, 70+ blocks, five templates, custom CSS, favicon, SEO and forms. No custom domain. - Source: dev.to / 4 months ago
  • Show HN: Primo – a visual CMS with Svelte blocks, a code editor, and SSG
    "A headless CMS in our case would be a better approach" doesn't the client just get mad they can't do what they want? You can only build so many components. Ideal world is a CMS that allows clients to easily change the HTML without code. That way it loads fast, has great SEO and stops developers re-inventing the wheel. That was the reason I built https://versoly.com/ (Website builder + CMS), why does the client... - Source: Hacker News / 11 months ago
  • Landing page
    Versoly would work great for this: https://versoly.com/. Source: 12 months ago
  • Site template
    Https://versoly.com/ allows you to build similar landing pages and either host with us or export. Source: 12 months ago
  • Moving away from Webflow - Need help
    If you want something inbetween Webflow and code give https://versoly.com/ a try, it is built on Tailwind and has VS code editor built right into the platform. Source: about 1 year ago
View more

What are some alternatives?

When comparing Scikit-learn and Versoly, 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.

Carrd - Simple, responsive one-page site creator.

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

Webflow - Build dynamic, responsive websites in your browser. Launch with a click. Or export your squeaky-clean code to host wherever you'd like. Discover the professional website builder made for designers.

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

GetSite AI - Launch your business online and create a beautiful microsite for your consulting business in minutes by answering a few questions. No coding required.