Question 1

What is the source of this data?

Accepted Answer

Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.

Question 2

How often is the data updated?

Accepted Answer

We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.

Question 3

What is scikit-learn?

Accepted Answer

Scikitlearn is a popular machine learning library in the Python ecosystem known for its userfriendly interface and extensive range of algorithms and tools for data analysis and modeling It is built on NumPy SciPy and Matplotlib offering a robust framework for machine learning tasks such as classification regression clustering and dimensionality reduction Scikitlearn is widely used by data scientists researchers and machine learning enthusiasts due to its simplicity and efficiency in implementing various algorithms

PyPI Packages to which scikitlearn belongs is a category that encompasses various Python packages available on the Python Package Index PyPI These packages cover a wide range of functionalities including data manipulation web development scientific computing and machine learning Scikitlearn falls under the machine learning and data analysis subcategory within PyPI Packages providing essential tools and algorithms for building predictive models and extracting insights from data

Scikitlearn was founded in 2007 by David Cournapeau as part of the Google Summer of Code project The motivation behind the creation of scikitlearn was to develop a highquality machine learning library that is accessible to the Python community and provides a simple yet powerful interface for implementing machine learning algorithms Over the years scikitlearn has evolved into one of the most widely used machine learning libraries in the industry thanks to its active development community and continuous improvements

Currently scikitlearn holds a significant market share within the machine learning library category Its userfriendly interface extensive documentation and active community support have contributed to its widespread adoption among both beginners and experienced machine learning practitioners With the increasing demand for machine learning solutions in various industries the market share of scikitlearn is expected to continue growing in the future as more companies and individuals leverage its capabilities for data analysis and modeling tasks

Question 4

How to get an updated list of companies that use scikit-learn?

Accepted Answer

You can access an updated list of companies using scikit-learn by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

Question 5

How many customers does scikit-learn have?

Accepted Answer

As of now, we have data on 40,376 companies that use scikit-learn.

Question 6

Who uses scikit-learn?

Accepted Answer

scikit-learn is used by a diverse range of organizations across various industries, including "Technology, Information and Internet", "Software Development", "Financial Services", "Technology, Information and Internet", "Technology, Information and Internet", "Hospitals and Health Care", "Software Development", "Software Development", "Banking", "Business Consulting and Services". For a comprehensive list of all industries utilizing scikit-learn, please visit TheirStack.com.

Question 7

What companies use scikit-learn?

Accepted Answer

Some of the companies that use scikit-learn include TieTalent, Databricks, Affirm, Apziva Fellowship, Faculty, Optum, Cisco, Tripadvisor, Scotiabank, Tredence and many more. You can find a complete list of 40,376 companies that use scikit-learn on TheirStack.com.

Question 8

In which countries scikit-learn is used the most?

Accepted Answer

Based on our data, scikit-learn is most popular in New Zealand (13 companies), Poland (190 companies), Malta (15 companies), Costa Rica (8 companies), Latvia (3 companies), Netherlands (366 companies), Portugal (104 companies), Mongolia (1 companies), Denmark (86 companies), Uruguay (5 companies). However, it is used by companies all over the world.

Question 9

How to find companies that use scikit-learn?

Accepted Answer

You can find companies using scikit-learn by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.

Company	Country	Industry	Employees	Revenue	Technologies
TieTalent	Switzerland	Technology, Information and Internet	29		scikit-learn
Databricks	United States	Software Development	14k	$600M	scikit-learn
Affirm	United States	Financial Services	3.1k	$1.2B	scikit-learn
Apziva Fellowship	Turkey	Technology, Information and Internet	4		scikit-learn
Faculty	United Kingdom	Technology, Information and Internet	1k	$5.3M	scikit-learn
Optum	United States	Hospitals and Health Care	104k		scikit-learn
Cisco	United States	Software Development	98k	$52B	scikit-learn
Tripadvisor	United States	Software Development	5.9k	$777M	scikit-learn
Scotiabank	Canada	Banking	96k	$26B	scikit-learn
Tredence	United States	Business Consulting and Services	2k	$33M	scikit-learn

Companies that use scikit-learn

List of companies using scikit-learn

scikit-learn customers by country

United States

United Kingdom

India

France

Germany

Canada

Spain

Brazil

Netherlands

Italy

scikit-learn alternatives and competitors

TensorFlow

PyTorch

ML Flow

MLflow

Microsoft LUIS

Amazon SageMaker

ENorm

CUDA

Stan

Kubeflow

Neuro

Azure Machine Learning

Lateral

Streamlit

Amazon Machine Learning

NLTK

Perplexity

Triton

Amazon Text to Speech

Kur

Caffe

Appen

Propel

Ludwig

IBM Watson

Document AI

Aquarium

Fritz

Lamina

MXNet

Apache MXNet

Amazon Textract

Tensorflow Lite

Google AI Platform

Renate

Clipper

Igel

DeepSpeed

Amazon Comprehend

Bard AI

Microsoft Cognitive Services

RAPIDS

Weka

Gradio

OpenVINO

Manifold

Apache Spark MLlib

GraphRAG

Amazon Kendra

Run:ai

How to target scikit-learn users

What is the source of this data?

What is the source of this data?

How often is the data updated?

How often is the data updated?

What is scikit-learn?

What is scikit-learn?

How to get an updated list of companies that use scikit-learn?

How to get an updated list of companies that use scikit-learn?

How many customers does scikit-learn have?

How many customers does scikit-learn have?

Who uses scikit-learn?

Who uses scikit-learn?

What companies use scikit-learn?

What companies use scikit-learn?

In which countries scikit-learn is used the most?