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Kettle Pentaho VS Scikit-learn

Compare Kettle Pentaho VS Scikit-learn and see what are their differences

Kettle Pentaho logo Kettle Pentaho

Pentaho Data Integration ( ETL ) a.k.a Kettle

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Kettle Pentaho Landing page
    Landing page //
    2023-09-22
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Kettle Pentaho videos

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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 Kettle Pentaho and Scikit-learn)
Data Integration
100 100%
0% 0
Data Science And Machine Learning
Web Service Automation
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 Kettle Pentaho and Scikit-learn

Kettle Pentaho Reviews

10 Best Open Source ETL Tools for Data Integration
The best ETL tool is the one that aligns with your demands and provides the solution that you are looking for. Perhaps, you can choose Keboola, Pentaho Kettle, CloverDX, Logstash, and Apache Kafka. However, you must go for Scriptella or Talend Open Studio if your team wants to save time manually creating and connecting data pipelines. These tools are perfect for technically...
Source: testsigma.com
11 Best FREE Open-Source ETL Tools in 2024
Pentaho Kettle is now a part of the Hitachi Vantara Community and provides ETL capabilities using a metadata-driven approach. This tool allows users to create their own data manipulation jobs without writing a single line of code. Hitachi Vantara also offers Open-Source BI tools for reporting and Data Mining that work seamlessly with Pentaho Kettle.
Source: hevodata.com
Top 10 Popular Open-Source ETL Tools for 2021
Pentaho Kettle is now a part of the Hitachi Vantara Community and provides ETL capabilities using a metadata-driven approach. It has a graphical drag and drop UI and standard architecture. This tool allows users to create their own data manipulation jobs without writing a single line of code. Hitachi Vantara also offers Open-Source BI tools for reporting and Data Mining that...
Source: hevodata.com

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 28 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.

Kettle Pentaho mentions (0)

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

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 / 2 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 / 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: 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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What are some alternatives?

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

Oracle Data Integrator - Oracle Data Integrator is a data integration platform that covers batch loads, to trickle-feed integration processes.

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

Talend - Talend Cloud delivers a single, open platform for data integration across cloud and on-premises environments. Put more data to work for your business faster with Talend.

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

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

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