Software Alternatives, Accelerators & Startups

Scikit-learn VS Rarchy

Compare Scikit-learn VS Rarchy 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.

Rarchy logo Rarchy

Plan your next website with Rarchy using our easy visual sitemaps & website planning tool. Collaborate in real-time with your whole team. Try us for free today!
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Rarchy Landing page
    Landing page //
    2023-07-18

Rarchy offers a suite of website planning tools, including visual sitemaps and user flows, designed for agencies and teams.

The core product is our free visual sitemap editor, which allows you to create a sitemap from scratch or import your existing website pages via our visual sitemap generator. You're then able to view your website in five different visual formats, use the drag-and-drop interface to make changes, and auto-capture screenshots of your current page designs. Your sitemap can be exported to XML (ready to upload to search engines), CSV, or PDF format.

Rarchy is ideal for teams, allowing you to collaborate, revise, and communicate changes to your website in one place.

Rarchy

Website
rarchy.com
$ Details
freemium $15.0 / Monthly
Platforms
Browser
Release Date
2019 October

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Rarchy videos

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Category Popularity

0-100% (relative to Scikit-learn and Rarchy)
Data Science And Machine Learning
Design Tools
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Visual Sitemaps
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 Rarchy

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...

Rarchy Reviews

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Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 29 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 (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 / 22 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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Rarchy mentions (0)

We have not tracked any mentions of Rarchy yet. Tracking of Rarchy recommendations started around Mar 2021.

What are some alternatives?

When comparing Scikit-learn and Rarchy, 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.

FlowMapp - FlowMapp is a UX planning tool for creating visual sitemaps and user flow.

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

Octopus.do - Build your website structure in real-time and rapidly share it to collaborate with your team or clients. Start prototyping websites or apps instantly.

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

VisualSitemaps - Autogenerate visual sitemaps in seconds.