Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Searching and visualizing #AWS Open Data using leafmap. The web app is built upon #Solara with pure Python. It has native support for #ipywidgets with directional communication between the frontend and backend 👇 Web app: GitHub:

20,677 görüntüleme • 3 yıl önce •via X (Twitter)

6 Yorum

Nadine Alameh (also @thenadinesa.bsky.social) profil fotoğrafı
Nadine Alameh (also @thenadinesa.bsky.social)3 yıl önce

🔥

Kairewah profil fotoğrafı
Kairewah3 yıl önce

This looks great! Would be helpful too if there are more how to use the platform videos.

Qiusheng Wu profil fotoğrafı
Qiusheng Wu3 yıl önce

Yes, I plan to create some video tutorials later this week when I have time.

Nazia Aftab profil fotoğrafı
Nazia Aftab3 yıl önce

Wow

Diogo Caribé profil fotoğrafı
Diogo Caribé3 yıl önce

Can I put this sigwebpage into dash (python package)? Seeming in interesting

Qiusheng Wu profil fotoğrafı
Qiusheng Wu3 yıl önce

You can embed it into other webpages through iframe

Benzer Videolar

RustGIS is now on PyPI: pip install rustgis RustGIS is a fast, free and open-source GIS in pure Rust for mapping, analyzing and sharing geospatial data. It runs natively on Windows, macOS and Linux, and in your web browser. Your data stays on your machine unless you send it to an AI model you choose, and every action is a command you can script. The new rustgis Python package brings the RustGIS engine into Python and the full RustGIS app into your Jupyter notebook, with no server to run and nothing else to install. What you can do - The engine in-process: open the same data the app opens, run any of RustGIS's commands and geoprocessing tools, style layers and render maps, all from Python. - GeoPandas in and out: turn any layer into a GeoDataFrame, or add a GeoDataFrame as a layer. - The whole app in a notebook cell: shows the ribbon, panes and map right below your code. - Two-way sync: what Python adds or styles appears in the app, and what you pan, edit or add in the app comes back to Python. - Projects that travel: save a .rgis project from Python and open it as it is in the desktop app or the web app. - Runs where you work: JupyterLab, Jupyter Notebook, VS Code and Google Colab, with prebuilt wheels for Windows, macOS and Linux. Get started in three lines: import rustgis m = m Try it out - Open the getting-started notebook in Colab: - PyPI: - Python guide: - Launch the web app: - GitHub: #GIS #Rust #Python #Jupyter #OpenSource #Geospatial

Qiusheng Wu

13,576 görüntüleme • 7 gün önce

🚀 GeoLibre just passed 5,000 stars on GitHub, in only two months! GeoLibre went public on May 27, and the community has already pushed it past 5,100 stars and 500+ forks. Thank you to everyone who starred, forked, filed issues, opened pull requests, and shared the project. For those just discovering it: GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. Key features of GeoLibre: - Runs anywhere: the same app ships as a native desktop app, a browser web app, a native Android app, and a Jupyter widget. - Local and private by default: load and analyze GeoJSON, GeoParquet, GeoPackage, Shapefile, COG, LiDAR, 3D Tiles, and more, right in the browser. - Powered by open source: built on MapLibre GL JS, DuckDB-WASM Spatial, Tauri, React, and TypeScript. - Spatial SQL in the browser: query your data with DuckDB Spatial, PostGIS via PGlite, and Apache Sedona. - Extensible: a growing plugin system for cloud data, federal web services, and custom tools. - Supports 12 planetary basemaps: Earth, Mars, the Moon, Mercury, Venus, and more. Two months in, we have already shipped 25 releases, the latest being v2.4.0. There is a lot more to come, and the best way to shape it is to jump in. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: If GeoLibre is useful to you, a star on GitHub and a share here go a long way. Thank you for an incredible first two months. #geospatial #opensource #MapLibre #GeoLibre

Qiusheng Wu

94,924 görüntüleme • 2 ay önce