Software Alternatives & Reviews

Domo VS Scikit-learn

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

Domo logo Domo

Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Domo Landing page
    Landing page //
    2023-10-08
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Domo videos

Domo Overview

More videos:

  • Review - Domo Customer Review: National Geographic
  • Review - Domo Customer Review: La-Z-Boy

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 Domo and Scikit-learn)
Data Dashboard
80 80%
20% 20
Data Science And Machine Learning
Business Intelligence
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 Domo and Scikit-learn

Domo Reviews

25 Best Statistical Analysis Software
Intuitive interface: Domo offers an easy-to-use interface that allows users to quickly navigate and interact with their data, making it suitable for users with varying levels of technical expertise.
Funnel.io Alternatives and Competitors in 2022
Domo is software that specializes in data visualization and business intelligence. Here you can find more information about Domo alternatives and competitors.
Source: improvado.io
The Top 14 Marketing Analytics Tools For Every Business
The Domo platform is best for C-level executives working at enterprise companies who are looking for a non-marketing specific BI tool to be used company-wide, one that can create executive level dashboards. Domo is not focused specifically on data from marketing efforts. It is used for more general business data. This means that when it comes to company-wide business...
Source: improvado.io
Domo vs Datorama vs Improvado vs Funnel.io vs Supermetrics
"Prior to investing in DOMO ensure that your data sources will allow an outside feed/API. We did find one of our EHRs would not allow this and it requires a manual process for us to feed the data to DOMO. This does not allow real-time data to be reflected in several of our reports."
Source: improvado.io

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 a lot more popular than Domo. While we know about 27 links to Scikit-learn, we've tracked only 1 mention of Domo. 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.

Domo mentions (1)

  • URL with Login code
    We currently use domo.com and need to display dashboards to screens. Source: almost 2 years ago

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 Domo and Scikit-learn, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

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

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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