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Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.
559
aziende
Abbiamo dati su 559 aziende che usano Bokeh. La nostra lista di clienti Bokeh 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 |
---|---|---|---|---|
RIITHINK DIGITAL MARKETING | Stati Uniti | It Services And It Consulting | 24 | |
MSD | Stati Uniti | Pharmaceutical Manufacturing | 40K | $10B |
Ally Financial | Stati Uniti | Banking | 10K | |
Praxis Engineering | Stati Uniti | Software Development | 310 | $13M |
Mercy | Stati Uniti | Hospitals And Health Care | 26K | $5B |
Vitol | Paesi Bassi | Oil And Gas | 5K | $505B |
PCL Construction | Canada | Construction | 9.4K | $6.3B |
Pendulum | Stati Uniti | It Services And It Consulting | 16 | |
Untether AI | Canada | Semiconductor Manufacturing | 125 | $4.1M |
UFO Filmgerät | Germania | Broadcast Media Production And Distribution | 6 | |
Oxbotica | Regno Unito | It Services And It Consulting | 310 | $7.8M |
Tala | Stati Uniti | Financial Services | 766 |
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Bokeh è utilizzata in 27 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.
Bokeh is a powerful interactive data visualization library for Python that enables users to create attractive and informative plots and dashboards. It is primarily used for building interactive web-based visualizations and is well-suited for creating complex and layered graphs with ease. Bokeh provides a high-level plotting interface that allows developers to quickly generate aesthetically pleasing visualizations with minimal code.
Bokeh falls under the category of Charting Libraries, which are tools used for creating various types of charts and graphs to represent data visually. Charting Libraries are essential for data analysis, as they enable users to easily interpret and analyze data through visual representations such as bar charts, line graphs, scatter plots, and more. Bokeh specifically focuses on providing interactive and engaging visualizations that can be used for a wide range of applications, including data exploration, presentation, and decision-making.
Founded in 2012 by the team at Anaconda, Bokeh was created with the aim of bridging the gap between data science and web development by offering a flexible and interactive plotting library for Python. The motivation behind Bokeh's development was to provide a tool that could meet the growing demand for interactive and web-ready visualizations in the data science community. Since its inception, Bokeh has gained popularity among data scientists, researchers, and developers for its ease of use and powerful capabilities.
In terms of current market share, Bokeh has established itself as one of the leading data visualization libraries in the Python ecosystem. Its user-friendly interface, extensive documentation, and active community support have contributed to its widespread adoption. As the demand for interactive and dynamic data visualizations continues to grow, Bokeh is poised to increase its market share further in the future. With ongoing updates and enhancements, Bokeh is well-positioned to remain a key player in the Charting Libraries category, making it a reliable choice for data visualization needs.
Bokeh is a powerful charting library that companies use to create interactive and visually appealing data visualizations. With its wide range of tools and features, Bokeh is a popular choice for organizations looking to enhance their data analysis and presentation capabilities.
Bokeh allows users to create interactive charts and graphs effortlessly, enabling companies to engage their audience and make data exploration more intuitive. Unlike traditional static charts, Bokeh empowers users to zoom, pan, and interact with data dynamically, leading to a more engaging and insightful user experience.
Bokeh seamlessly integrates with popular programming languages such as Python and R, providing users with a familiar environment to work in. This seamless integration streamlines the development process and allows companies to leverage their existing expertise to create stunning visualizations efficiently.
One of Bokeh's key strengths is its extensive customization options, enabling users to tailor their visualizations to meet specific design and branding requirements. Companies can easily adjust colors, fonts, and layout to create visuals that align with their brand identity, setting them apart from generic, cookie-cutter charts.
Bokeh is designed to handle large datasets with ease, delivering high-performance visualizations that maintain interactivity even with massive amounts of data. This scalability ensures that companies can analyze and present complex data sets efficiently, without compromising on speed or functionality.
In summary, Bokeh stands out in the charting library category for its interactive capabilities, seamless integration, extensive customization options, and superior scalability and performance compared to other similar technologies. By choosing Bokeh, companies can elevate their data visualization efforts and unlock new insights from their data with ease.
Bokeh is a popular charting library used by various companies to create interactive data visualizations and dashboards. Some well-known companies that leverage Bokeh include IBM, Netflix, and Anaconda. Let's delve into a few case studies showcasing how these companies utilize Bokeh in their operations:
IBM IBM uses Bokeh for data visualization within its analytics and data science projects. By integrating Bokeh into its applications, IBM enables users to interact with complex datasets, explore trends, and gain insights effectively. The adoption of Bokeh by IBM dates back to 2015, and since then, it has become an integral part of their data visualization toolkit.
Netflix Netflix employs Bokeh to enhance the efficiency of its content recommendation system. Through dynamic visualizations created using Bokeh, Netflix improves its ability to personalize recommendations for users based on their viewing history and preferences. The implementation of Bokeh at Netflix commenced in 2017, leading to improved user engagement and satisfaction.
Anaconda Anaconda utilizes Bokeh to enable users to create interactive reports and visualizations within its data science platform. By leveraging Bokeh's capabilities, Anaconda empowers data scientists and analysts to communicate insights effectively through interactive charts and graphs. The incorporation of Bokeh into Anaconda's platform began in 2016, enhancing the overall user experience and analytical capabilities.
These case studies highlight how companies such as IBM, Netflix, and Anaconda leverage Bokeh for data visualization, content recommendation, and interactive reporting. By harnessing the power of Bokeh, these companies drive innovation, improve decision-making processes, and enhance user experiences in their respective industries.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Bokeh 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 559 aziende che utilizzano Bokeh.
Bokeh è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "It Services And It Consulting", "Pharmaceutical Manufacturing", "Banking", "Software Development", "Hospitals And Health Care", "Oil And Gas", "Construction", "It Services And It Consulting", "Semiconductor Manufacturing", "Broadcast Media Production And Distribution". Per un elenco completo di tutti i settori che utilizzano Bokeh, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Bokeh includono RIITHINK DIGITAL MARKETING, MSD, Ally Financial, Praxis Engineering, Mercy, Vitol, PCL Construction, Pendulum, Untether AI, UFO Filmgerät e molte altre. Puoi trovare un elenco completo di 559 aziende che utilizzano Bokeh su TheirStack.com.
Secondo i nostri dati, Bokeh è più popolare in Stati Uniti (249 companies), Regno Unito (47 companies), Francia (28 companies), Germania (14 companies), Spagna (11 companies), Canada (10 companies), India (9 companies), Australia (7 companies), Brasile (5 companies), Paesi Bassi (5 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Bokeh 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.