![]() In that spirit, we offer one last gift: This is our “play” button. So go forth and share let others see your work, fork, merge, and contribute the cycle of knowledge. This new sharing superpower completes the Streamlit circle – from creation to sharing, and back again. ![]() If you don’t have one in your inbox already, please request an invite and we'll get you one soon. To celebrate the launch, we'll be releasing 1,000 invitations for Streamlit sharing - with more invites coming as our server capacity grows. If you're interested please sign up for the beta for Streamlit for Teams. Streamlit for Teams extends Streamlit’s sharing platform to bring secure, seamless app deployment, management, and collaboration within your enterprise. For example, Uber has deployed Streamlit company-wide, enabling data scientists to share their work throughout the company. While this post has focused on open source applications, Streamlit is also used by thousands of companies to build sophisticated internal data tools. Taken together, Streamlit and GitHub enable an incredibly rich and diverse ecosystem of useful apps – from dashboards to deep nets and beyond! (As former Carnegie Mellon folks, we're especially proud that students taking the Interactive Data Science class now submit their homework using Streamlit sharing □) Here are some awesome examples of shared Streamlit apps that you can play with right now. It’s global, shareable, fork-able, collaborative data science! Collaborate for free simply by forking and editing the code. Or, click on the menu for any live app and see its source code on GitHub. Paste your GitHub link into Streamlit's sharing platform and almost instantly you have a live app. From GitHub you inherit an incredible framework for social collaboration. ![]() From Streamlit you get a simple framework for creating incredibly rich and useful apps. Streamlit sharing combines the best of Streamlit with the best of GitHub. Streamlit sharing lets you deploy, manage, and share your apps – all for free! If you have a Streamlit app hosted publicly on GitHub, you are now one click away from sharing it with the world. Today, we address the second challenge - sharing - by announcing a brand-new sharing platform for Streamlit. Easily deploy and share your Streamlit apps But creating great apps only solves half the problem. Hundreds of thousands of Streamlit apps have been created all over the world. Streamlit lets you easily demonstrate algorithms, play with models, manipulate data, and combine all of these superpowers into beautiful apps. The second is sharing these apps so that the world can experience your work.Ī year ago, we addressed the first challenge - creating - by releasing Streamlit, an open-source library that lets you transform Python scripts into interactive apps. The first is creating apps that make data science and machine learning code interactive. Frustrated by this, we decided that we need a simple, sharable "play" button for machine learning code. Can you play with the models? See the algorithms? Interact with the data? Doing so requires following complex instructions, installing packages, or reading dense code snippets. About Engadget About our Ads Advertise Brand Kit. It displays available machines on the network that can be controlled via Mac OS X’s built-in screen sharing functionality (a. GitHub overflows with models, algorithms, and datasets. ScreenSharingMenulet is one of my favourite enhancements in Mac OS X. (Just as if you’d connected normally, the connection will be made immediately if you’ve previously saved the required username and password to the keychain otherwise you’ll be prompted to provide this info.) Thanks to, ScreenSharingMenulet’s menu updates in real time, showing new Screen-Sharing-compatible computers as soon as they appear on the network.Machine learning and data science code is easy to share but hard to use. Choose a computer from the menu and the Screen Sharing application launches and initiates a screen-sharing connection to the chosen computer. If this describes your use of Screen Sharing, Stefan Klieme’s aims to make such connections easier by providing a menu-bar menu that lists any computers on your local network with Screen Sharing (or Remote Management-aka, Apple Remote Desktop) enabled. ![]() For example, I frequently use it to peek in on my desktop Mac from my laptop. But my experience is that many people use it mainly with computers on the same local network-in the same house or office. Leopard’s Screen Sharing feature, which lets you view and control the screen of another Mac, can be quite handy, especially for performing remote tech support for family and friends. ![]()
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