Introducing Gradio's new Dataframe!

Back to Articles Introducing Gradio's new Dataframe! Published March 24, 2025 Update on GitHub Upvote 31 +25 hannah hmb Follow Abubakar Abid abidlabs Follow What’s next? Try it yourself! Gradio’s gr.Dataframe component is one of our most popular components, we've seen it used in a variety of...

Back to Articles Introducing Gradio's new Dataframe! Published March 24, 2025 Update on GitHub Upvote 31 +25 hannah hmb Follow Abubakar Abid abidlabs Follow What’s next? Try it yourself! Gradio’s gr.Dataframe component is one of our most popular components, we've seen it used in a variety of awesome apps, like leaderboards, dashboards, and interactive visualisations. Although we hadn't made any changes to the dataframe in quite some time, our backlog of issues had been growing, and some improvements had been in demand for a while. Well — we’re now super excited to release a host of new updates to Gradio’s dataframe component. Over the last 6 weeks, we’ve closed over 70 dataframe issues - including bugs, improvements and enhancements. 1. Multi-Cell Selection You can select multiple cells at once! Copy or delete values across your selection with ease. 2. Row Numbers & Column Pinning Add row number columns and keep critical columns in view while navigating wide datasets using the pinned_columns parameter. No more losing track of what you're looking at! 3. Copy Button and Full Screen Button Easily copy cell values into a comma-separated format with our new copy button. Need a better view? The full screen button gives you interactivity without distractions and can be enabled with the show_full_screen parameter. 4. Scroll to Top Button Look at all that data! Now we can just scroll to the top. 5. Accessibility Upgrade and Enhanced Styling Improved keyboard navigation makes gr.Dataframe more accessible than ever. You can also take control of your dataframe’s look with a dedicated styler parameter and enhance the user experience of your app. 6. Row and Column Selection Access entire row data in select events for more intuitive interactivity and data manipulation. 7. Static Columns Customise the interactivity of your dataframe by specifying non-editable columns using the static_columns parameter. 8. Search functionality Quickly find the data you need with our powerful search feature by setting the show_search parameter to "search". 9. Filter functionality Narrow down your dataset to focus on exactly what you need with flexible filtering options with show_search set to "filter". 10. Improved cell selection Experience smoother, more intuitive cell selection that behaves the way you expect. What’s next? With over 70 issues closed, we’ve made huge improvements, but there’s always more for us to work on. Looking ahead, we still have more ideas to implement and we’re excited to keep refining accessibility, performance, and integration. Look out for some cool demos on our socials using the dataframe on Gradio’s X. Try it yourself! The updated dataframe is live in the latest Gradio release. Update your installation with pip install --upgrade gradio. import gradio as gr df_headers = ["Name", "Population", "Size (min cm)", "Size (max cm)", "Weight (min kg)", "Weight (max kg)", "Lifespan (min years)", "Lifespan (max years)"] df_data = [ ["Irish Red Fox", 185000, 48, 92, 4.2, 6.8, 3, 5], ["Irish Badger", 95000, 62, 88, 8.5, 13.5, 6, 8], ["Irish Otter", 13500, 58, 98, 5.5, 11.5, 9, 13] ] with gr.Blocks() as demo: df = gr.Dataframe( label="Irish Wildlife", value=df_data, headers=df_headers, interactive=True, show_search="search", show_copy_button=True, show_fullscreen_button=True, show_row_numbers=True, pinned_columns=1, static_columns=[0], column_widths=["300px"] ) demo.launch() Check out the Gradio documentation for examples and tutorials to get started with these new features. We’re eager to see what you create! Got thoughts or suggestions? Share them by raising an issue in our GitHub repo. Happy building! More Articles from our Blog gradioopen-sourceguide AI Apps in a Flash with Gradio's Reload Mode 27 April 16, 2024 guidehubjobs Migrating Your GitHub CI to Hugging Face Jobs 11 June 9, 2026 Community julien-c Mar 25, 2025 first! ❤️ 4 4 + Reply KeithCu Mar 26, 2025 This is awesome, I hope it can get into Streamlit, which is a great library for making interactive dashboards in Python. See translation Reply EditPreview Upload images, audio, and videos by dragging in the text input, pasting, or clicking here. Tap or paste here to upload images Comment · Sign up or log in to comment Upvote 31 +19

Source: Hugging Face — Published March 24, 2025 at 00:00 UTC — Category: Open Source