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It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.
1,301
aziende
Abbiamo dati su 1,301 aziende che usano Streamlit. La nostra lista di clienti Streamlit è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
![]() Snowflake | Stati Uniti | Software Development | 8.1K | $1.9B |
Octopus Energy | Regno Unito | Utilities | 3.2K | |
Circlebase | Stati Uniti | It Services And It Consulting | 12 | |
![]() Croud | Regno Unito | Advertising Services | 635 | |
Ornikar | Francia | Education | 260 | $18M |
Stati Uniti | 1 | |||
Niji | Francia | It Services And It Consulting | 1.3K | $6.3M |
![]() TickPick | Stati Uniti | Events Services | 69 | |
Mariner Wealth Advisors | Stati Uniti | Financial Services | 970 | $122M |
Analytix Engine | Sudafrica | Professional Services | 19 | |
Department for International Trade | Regno Unito | Online Audio And Video Media | 5.2K | |
PBS Distribution | Stati Uniti | Broadcast Media Production And Distribution | 120 |
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Streamlit è utilizzata in 41 paesi
Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
Streamlit is a popular open-source 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, data-driven 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 user-friendly manner. This category is crucial for bridging the gap between data science development and end-user 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 user-friendly interface and efficient app creation capabilities. As the demand for streamlined data application deployment continues to rise, it is forecasted that Streamlit's 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.
Streamlit is a popular choice for companies leveraging cutting-edge technologies in Machine Learning Tools due to its user-friendly interface and seamless integration capabilities. With Streamlit, organizations can create interactive and intuitive data visualization applications without the need for complex coding expertise.
Benefits of Streamlit:
1. Easy to Use:
Streamlit stands out for its user-friendly interface, allowing developers of all skill levels to quickly create powerful data applications. Unlike other similar technologies that may have steep learning curves, Streamlit provides a straightforward platform that facilitates rapid development and deployment.
2. Rapid Prototyping:
One of the key advantages of Streamlit is its ability to enable rapid prototyping of machine learning models and data visualizations. By offering a streamlined development process, Streamlit allows teams to test ideas and iterate quickly, saving valuable time and resources compared to traditional methods.
3. Seamless Deployment:
Streamlit simplifies the deployment process by offering seamless integration with various hosting platforms and cloud services. This ensures that applications built using Streamlit can be easily shared and accessed by stakeholders, enhancing collaboration and accessibility.
In summary, Streamlit provides a versatile solution for companies looking to streamline their development process in Machine Learning Tools, offering a range of benefits that set it apart from other technologies in the market.
Streamlit is a popular open-source platform used by various companies in the Machine Learning Tools category to create interactive web applications with Python. Here are some real-world case studies showcasing how companies have successfully implemented Streamlit into their workflows:
Netflix: Netflix utilizes Streamlit to build internal data exploration and visualization tools for their data scientists and engineers. They started using Streamlit in early 2020 to streamline the process of analyzing massive datasets and generating insights efficiently. By leveraging Streamlit's capabilities, Netflix has enhanced collaboration among team members and accelerated the decision-making process.
Airbnb: Airbnb adopted Streamlit to develop interactive dashboards that enable their business analysts to visualize booking trends, user behavior patterns, and pricing strategies in real-time. Since integrating Streamlit into their analytics pipeline in mid-2019, Airbnb has significantly improved data-driven decision-making, allowing for quicker adjustments to their platform based on the insights derived from the dashboards.
Square: Square, a financial services and mobile payment company, utilizes Streamlit to create dynamic reporting tools that help track transaction trends, identify potential fraud activities, and optimize payment processing workflows. They integrated Streamlit into their systems in late 2018, enabling Square's teams to collaborate effectively in analyzing transaction data and improving the overall security and efficiency of their payment processing services.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Streamlit visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 1,301 aziende che utilizzano Streamlit.
Streamlit è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Software Development", "Utilities", "It Services And It Consulting", "Advertising Services", "Education", "It Services And It Consulting", "Events Services", "Financial Services", "Professional Services". Per un elenco completo di tutti i settori che utilizzano Streamlit, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Streamlit includono Snowflake, Octopus Energy, Circlebase, Croud, Ornikar, Gartner, Inc., Niji, TickPick, Mariner Wealth Advisors, Analytix Engine e molte altre. Puoi trovare un elenco completo di 1,301 aziende che utilizzano Streamlit su TheirStack.com.
Secondo i nostri dati, Streamlit è più popolare in Stati Uniti (457 companies), Regno Unito (101 companies), Francia (78 companies), Germania (65 companies), Spagna (42 companies), India (37 companies), Canada (33 companies), Brasile (21 companies), Paesi Bassi (16 companies), Svizzera (14 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Streamlit cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.