Question 1

这些数据的来源是什么？

Accepted Answer

我们的数据源自从数百万家公司收集的职位发布信息。我们在公司官网、招聘网站及其他招聘平台上监测这些发布。分析职位发布能够可靠地帮助我们了解各家公司所采用的技术，包括其内部工具的使用情况。

Question 2

数据多久更新一次？

Accepted Answer

我们每日刷新数据，确保您获取到最新可用的信息。如此频繁的更新流程，保证我们的洞察与情报能够反映行业内的最新发展与趋势。

Question 3

什么是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

如何获取使用Streamlit的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 Streamlit 的公司最新列表。我们的平台提供一个全面的数据库，涵盖采用各类技术和内部工具的公司。

Question 5

Streamlit 有多少客户？

Accepted Answer

截至目前，我们拥有关于使用Streamlit的6,166家公司的数据。

Question 6

谁在使用Streamlit？

Accepted Answer

Streamlit 被广泛应用于各行各业的各类组织，包括 "Software Development", "IT Services and IT Consulting", "Software Development", "Manufacturing", "Services for Renewable Energy", "IT Services and IT Consulting", "Software Development", "Spectator Sports", "Software Development", "Technology, Information and Internet"。如需查看使用 Streamlit 的所有行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Streamlit？

Accepted Answer

使用Streamlit的公司包括Snowflake, Luxoft, TetraScience, Colgate-Palmolive, Enpal, Capgemini, Dataiku, PrizePicks, Reducto, myGwork - LGBTQ+ Business Community等更多公司。你可以在TheirStack.com上找到使用Streamlit的6,166家公司的完整列表。

Question 8

在哪些国家 Streamlit 使用得最多？

Accepted Answer

根据我们的数据，Streamlit 在 美国 (1,608 companies), 英国 (345 companies), 法国 (311 companies), 印度 (174 companies), 德国 (141 companies), 加拿大 (123 companies), 西班牙 (94 companies), 瑞士 (74 companies), 巴西 (67 companies), 荷兰 (65 companies) 最受欢迎。然而，全球各地的公司都在使用它。

Question 9

如何找到使用Streamlit的公司？

Accepted Answer

你可以在 TheirStack.com 上搜索 Streamlit，从而找到使用它的公司。我们追踪来自数以百万计公司的职位发布，并据此发现他们在使用哪些技术和内部工具。

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

使用 Streamlit 的公司

如何定位Streamlit用户

Streamlit 的替代方案与竞争对手

TensorFlow

PyTorch

scikit-learn

ML Flow

MLflow

Microsoft LUIS

Amazon SageMaker

ENorm

CUDA

Stan

Kubeflow

Neuro

Azure Machine Learning

Lateral

Amazon Machine Learning

NLTK

Perplexity

Triton

Amazon Text to Speech

Kur

Caffe

Appen

Propel

Ludwig

IBM Watson

Document AI

Aquarium

Fritz

Lamina

Apache MXNet

MXNet

Amazon Textract

Tensorflow Lite

Google AI Platform

Renate

Clipper

Igel

DeepSpeed

Bard AI

Amazon Comprehend

RAPIDS

Microsoft Cognitive Services

Weka

Gradio

OpenVINO

Manifold

Apache Spark MLlib

GraphRAG

Amazon Kendra

Run:ai

Streamlit 客户按国家划分

美国

英国

法国

印度

德国

加拿大

西班牙

瑞士

巴西

荷兰

这些数据的来源是什么？

这些数据的来源是什么？

数据多久更新一次？

数据多久更新一次？

什么是Streamlit？

什么是Streamlit？

如何获取使用Streamlit的公司的最新列表？

如何获取使用Streamlit的公司的最新列表？

Streamlit 有多少客户？

Streamlit 有多少客户？

谁在使用Streamlit？

谁在使用Streamlit？

哪些公司使用Streamlit？

哪些公司使用Streamlit？

在哪些国家 Streamlit 使用得最多？

在哪些国家 Streamlit 使用得最多？