Software Alternatives & Reviews

Ninox VS Scikit-learn

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

Ninox logo Ninox

Ninox is a human-friendly database. Create your own Business Application with Ninox that matches your workflow. Ninox lets you integrate CRM, ERP, HR and many more...

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Ninox Landing page
    Landing page //
    2023-05-22

Create your own Business Application with Ninox that matches your workflow. Ninox lets you integrate and customize applications from different departments such as CRM, ERP, HR, Accounting, Sales and PM to streamline your operations most efficiently. Additionally Ninox promotes team collaboration functionalities and the integration of the most common used services e.g. Google (Sheets, Drive, Calendar, Forms) and many more.

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

Ninox

Website
ninox.com
$ Details
paid Free Trial €10.0 / Monthly (2 GB per user)
Platforms
Browser Android iOS Web Windows Mac OSX Google Chrome

Ninox videos

Ninox Database iPad App Demo

More videos:

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 Ninox and Scikit-learn)
Project Management
100 100%
0% 0
Data Science And Machine Learning
Databases
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 Ninox and Scikit-learn

Ninox Reviews

10 Best Low-Code Development Platforms in 2020
A free trial of 30 days is available for the product. Ninox has two pricing plans i.e. Ninox Cloud and Private Cloud. Ninox Cloud price starts at $8.33 per user per month. Private cloud price starts at $16.66 per user per month.

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

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 27 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.

Ninox mentions (0)

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

Scikit-learn mentions (27)

  • 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 / 11 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: 12 months 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: 12 months 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
  • Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
    This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago
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What are some alternatives?

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

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

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

Nintex - Cloud-based digital workflow management automation platform

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

Kissflow - Kissflow is a workflow tool & business process workflow management software to automate your workflow process. Rated #1 cloud workflow software in Google Apps Marketplace.

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