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 Streamlit?

Accepted Answer

Streamlit is a popular opensource framework that allows users to create web applications for machine learning and data science projects with simple Python scripts It enables developers and data scientists to build interactive datadriven apps quickly and easily without requiring expertise in web development Streamlit simplifies the process of transforming data scripts into shareable web apps making it an efficient tool for showcasing and sharing machine learning models and data visualizations

In the realm of Machine Learning Tools Streamlit falls into the category of frameworks that facilitate the deployment of machine learning models and data applications Specifically Streamlit focuses on providing a seamless way to turn data scripts into web apps enabling users to showcase their machine learning projects in an interactive and userfriendly manner This category is crucial for bridging the gap between data science development and enduser interaction making complex data processes more accessible and understandable

Founded in 2018 by Adrien Treuille Amanda Kelly and Thiago Teixeira Streamlit originated from the desire to streamline the process of creating and sharing data applications The team recognized the need for a tool that simplifies the deployment of data projects leading to the development of Streamlit Their motivation stemmed from the belief that democratizing access to data applications can accelerate innovation and collaboration in the field of machine learning and data science

Currently Streamlit holds a significant market share in the Machine Learning Tools category with a growing user base attracted to its userfriendly interface and efficient app creation capabilities As the demand for streamlined data application deployment continues to rise it is forecasted that Streamlits market share will likely expand further in the future solidifying its position as a preferred choice for developers and data scientists seeking to showcase their work through interactive web applications

Question 4

How to get an updated list of companies that use Streamlit?

Accepted Answer

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

Question 5

How many customers does Streamlit have?

Accepted Answer

As of now, we have data on 5,229 companies that use Streamlit.

Question 6

Who uses Streamlit?

Accepted Answer

Streamlit is used by a diverse range of organizations across various industries, including "Software Development", "Utilities", "IT Services and IT Consulting", "Technology, Information and Internet", "Software Development", "Manufacturing", "Consumer Services", "Software Development", "IT Services and IT Consulting", "Spectator Sports". For a comprehensive list of all industries utilizing Streamlit, please visit TheirStack.com.

Question 7

What companies use Streamlit?

Accepted Answer

Some of the companies that use Streamlit include Snowflake, Octopus Energy, Luxoft, Dice, TetraScience, Colgate-Palmolive, HelloFresh, Dataiku, Capgemini, PrizePicks and many more. You can find a complete list of 5,229 companies that use Streamlit on TheirStack.com.

Question 8

In which countries Streamlit is used the most?

Accepted Answer

Based on our data, Streamlit is most popular in United States (1,503 companies), United Kingdom (343 companies), France (280 companies), India (148 companies), Germany (134 companies), Canada (116 companies), Spain (99 companies), Switzerland (69 companies), Brazil (65 companies), Netherlands (59 companies). However, it is used by companies all over the world.

Question 9

How to find companies that use Streamlit?

Accepted Answer

You can find companies using Streamlit 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
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue

Companies that use Streamlit

Streamlit customers by country

How to target Streamlit users

United States

United Kingdom

France

India

Germany

Canada

Spain

Switzerland

Brazil

Netherlands

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 Streamlit?

What is Streamlit?

How to get an updated list of companies that use Streamlit?

How to get an updated list of companies that use Streamlit?

How many customers does Streamlit have?

How many customers does Streamlit have?

Who uses Streamlit?

Who uses Streamlit?

What companies use Streamlit?

What companies use Streamlit?

In which countries Streamlit is used the most?

In which countries Streamlit is used the most?

How to find companies that use Streamlit?

How to find companies that use Streamlit?

List of companies using Streamlit

Streamlit alternatives and competitors

TensorFlow

PyTorch

scikit-learn

ML Flow

MLflow

Microsoft LUIS

ENorm

Amazon SageMaker

Stan

CUDA

Neuro

Kubeflow

Azure Machine Learning

Lateral

Amazon Machine Learning

NLTK

Perplexity

Caffe

Amazon Text to Speech

Propel

Appen

Kur

Ludwig

IBM Watson

Aquarium

Fritz

Document AI

Lamina

Apache MXNet

MXNet

Amazon Textract

Renate

Google AI Platform

Tensorflow Lite

Clipper

Igel

Bard AI

Amazon Comprehend

DeepSpeed

Weka

Microsoft Cognitive Services

Manifold

Apache Spark MLlib

Gradio

OpenVINO

Amazon Kendra

Hummingbird