Streamlit Cloud is a data workspace for your company. Today, we want to share this new superpower with every company in the world… ☁️ Introducing Streamlit Cloud! ☁️ We hardened it in the community and beta-tested it in hundreds of organizations-from small AI startups to public multinational companies. So for the past two years, we've been building a new product. The current process in companies to create and deploy data apps takes months and multiple teams. It involved more skillsets, more meetings, more coordination. You also needed to share those apps, get them into the hands of your users, gather feedback, iterate, and create new ideas.ĭoing that inside a company wasn't easy. Building great apps was only half the logjam. With all this app-building, you surfaced new needs. In fact, you spread Streamlit so widely that Streamlit is now actively deployed at over half the Fortune 50! You used Streamlit to label ad videos, track dbt jobs, visualize object detection output, and explore vast quantities of geographic data. You explained, analyzed, and modeled everything from real estate to black holes. You unleashed a torrent of dazzling Streamlit apps. Your response surged beyond our wildest expectations. Then in 2019, we released a solution-a new way to make polished, flexible, and powerful data apps in just a few lines of Python. But nothing let them quickly build and iterate on the next-generation data products they envisioned. Data apps go beyond dashboards to capture a variety of next-generation data sources and analytic abilities.Ĭaught between the rising data complexity and the deeper analytical needs, data teams searched for new tools. Users don't just want the graphs of the past. In parallel, business demands have become more complex.
Now it's a turbulent mix of image labels, natural language data, API endpoints, neural networks, and other models.
Once upon a time, data flowed smoothly into well-structured tables.
0 kommentar(er)
