Interactvie webmap2/28/2023 ![]() It was recently announced that the NSF would be funding the UC Berkeley + NCAR " EarthCube" proposal "Jupyter meets the Earth: Enabling discovery in geoscience through interactive computing at scale".The Pangeo software ecosystem involves open source tools such as xarray, Iris, Dask, Jupyter, and many other packages. Pangeo is a community platform providing open, reproducible, and scalable sciences.End users can request custom visualization that are returned to them in the form of lazily computed tile layers. The mapping capability is based on ipyleaflet. ![]() The main front-end to the platform is base on Jupyter. JEODPP (JRC Earth Observation Data and Processing Platform) is a EU project providing petabyte scale storage and high-throughput computing capacities to facilitate large scale analysis of Earth Observation data.Notable projects building upon Jupyter include Jupyter's adoption is exploding in the GeoScience space. If you check out the Voilà gallery, don't miss Jeremy Tuloup's GPX loader demo! Jupyter for Geo Sciences and for the gallery: A Gallery of Voilà Examples.the original announcement of the project: And Voilà!.įor more resources about voilà, check out You can check out the Voilà gallery at URL. Built upon the Jupyter stack, it inherits the language agnosticism of the ecosystem, and can be used to produce standalone applications based on ipyleaflet.Ī companion project to Voilà is the Voilà gallery project, a public facing set up of JupyterHub serving Voilà dashboard. Voilà is a tool that turns Jupyter notebooks into standalone dashboards. The first thing for which you may want to change the default value are the zoom level, the position, or the base layer for the map. The main components to the library are layers and controls, respectively items to be displayed on the map, and interactive widgets overlayed on the map area for greater interactivity. A small difference is that following the Python coding style, ipyleaflet makes use of snake_case instead of CamelCase for attribute names. Ipyleaflet is a Jupyter - LeafletJS bridge, bringing mapping capabilities to the notebook and JupyterLab.īuilt as a bridge between the LeafletJS package and Jupyter, the ipyleaflet API maps to that of LeafletJS, bringing most of the core features of the package to Jupyter, and enabling a few popular LeafletJS extensions. An example is the ipymesh project by Chris Kees which can be used to draw PSLG (planar straight-line graphs) in the Jupyter notebook. This is the case for the ipyleaflet package, as well as pythreejs and ipyvuetify.Īnother use case is the development of ad hoc controls that are not necessarily relevant for a mainstream visualization package, but may be specific to a scientific field. We strive to provide a foundational layer allowing third-party widget authors to be as inventive as possible.Ī common pattern for Jupyter widget packages has been to bring the capabilities of popular JavaScript visualization frameworks to Jupyter with a bridge based on ipywidgets. Extensibility Jupyter widgets are not meant as a monolithic system with one and only one way to achieve a specific task. ![]() Back-ends for other languages than Python already exist, such as for C++ (with the xeus-cling Jupyter kernel), and languages of the JVM such as Clojure or Groovy (with the beakerx kernels). Language Agnosticism Built upon the Jupyter ecosystem, the interactive widget protocol used for the synchronization between the kernel and the front-end is well-specified and can be implemented for any kernel.Notebook authors can compose sophisticated applications including a variety of components from different packages. Bidirectionality Widgets are not just meant for display but can also be used to capture user inputs, which can then trigger new computation.beakerx, a collection of widgets, extensions, and kernels for Jupyter,Īnd many more… This list is not comprehensive and dozens of other widget packages have been developed.ipywebrtc, a library exposing the features of the WebRTC protocol to Jupyter kernels,.ipyvuetify, a large collection of VuetifyJS components exposed to Jupyter,. ![]()
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