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falcor - A JavaScript library for efficient data fetching
Falcor is a JavaScript library for efficient data fetching. It lets you represent all your remote data sources as a single domain model via a virtual JSON graph. You code the same way no matter where the data is, whether in memory on the client or over the network on the server.
json netflix observable falcorjs data-management data-driven-applicationRelay '- JavaScript framework for building data-driven React applications.
Relay is a JavaScript framework for building data-driven React applications. Never again communicate with your data store using an imperative API. Simply declare your data requirements using GraphQL and let Relay figure out how and when to fetch your data.
react data-management data-driven-application data-viewPimcore - The leading enterprise platform for CMS/CMF, MDM, PIM, DAM and E-Commerce
The Pimcore PIM module provides the world's only enterprise PIM without software cost, centralizing all your product data independently from the channel. Pimcore makes it fast and easy to manage product information. It can integrate, consolidate, and manage any type and any amount of digital data. Provide the data to any channel such as commerce, mobile apps, print, digital signage.
cms ecommerce ecommerce-platform master-data-management dam wcms digital-platform data-management product-management product-information-management cms-framework mdm online-shop online-store digital-asset-managementOm - ClojureScript interface to Facebook's React
A ClojureScript UI framework and client/server architecture over Facebook's React. Om UIs are out of the box snapshotable and undoable and these operations have no implementation complexity and little overhead. Om borrows ideas liberally from Facebook's Relay and Netflix's Falcor with a dash of inspiration from Datomic pull syntax to avoid the typical incidental complexity that arises from client/server state management.
react data-management data-driven-applicationApache NiFi - An easy to use, powerful, and reliable system to process and distribute data
Apache NiFi supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic. Data flow can be tracked and modified at run time. It automates the movement of data between disparate data sources and systems, making data ingestion fast, easy and secure. The project was created by the United States National Security Agency (NSA).
dataflow data-management data-collector enterprise-integration-patterns log-managementZenko - Multi-Cloud Data Controller
Zenko is Scality’s Open Source Multi-Cloud Data Controller.Zenko's goal is to provide a unifed namespace, access API and search capabilities to data stored locally using Docker volumes or Scality RING or in public cloud storage services like Amazon S3, or Microsoft Azure Blob storage.
data-controller data-storage mult-cloud data-managementgeometry-api-java - The Esri Geometry API for Java enables developers to write custom applications for analysis of spatial data
The Esri Geometry API for Java enables developers to write custom applications for analysis of spatial data.
data-management geometry-api-javadata-forge-ts - The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.
The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ. Implemented in TypeScript, used in JavaScript ES5+ or TypeScript.
data-wrangling data-forge data data-analysis nodejs pandas visualization data-visualization data-management data-manipulation data-munging data-cleaning data-cleansing csv json data-science data-clensingkoop - :crystal_ball: Transform, query, and download geospatial data on the web.
Koop is a highly-extensible Javascript toolkit for connecting incompatible spatial APIs. Out of the box it exposes a Node.js server that can translate GeoJSON into the Geoservices specification supported by the ArcGIS family of products. Koop can be extended to translate data from any source to any API specification. Don't let API incompatiblity get in your way, start using one of Koop's data providers or write your own. Visit the demo at http://koop.dc.esri.com.
gis server nodejs geojson arcgis spatial api etl data-managementspatial-framework-for-hadoop - The Spatial Framework for Hadoop allows developers and data scientists to use the Hadoop data processing system for spatial data analysis
Enables developers and data scientists to use the Hadoop data processing system for spatial data analysis.
data-management spatial-analysisjekyll - Jekyll-based static site for The Programming Historian
This is the main repository for the Programming Historian (http://programminghistorian.org), where we keep the files for the live website. For tutorials in submission, please see: Programming Historian Submissions.
programming-historian text-analysis api data-management data-manipulation data-mining pedagogy linked-open-data mapping network-analysis exhibits scraping dh digital-humanitiesgeoportal-server - Geoportal Server is a standards-based, open source product that enables discovery and use of geospatial resources including data and services
Geoportal Server is a standards-based, open source product that enables discovery and use of geospatial resources including data and services. Geoportal Server allows you to catalog the locations and descriptions of your organization's geospatial resources in a central repository called a geoportal, which you can publish to the Internet or your intranet. Visitors to the geoportal can search and access these resources to use with their projects. If you grant them permission, visitors can also register geospatial resources with the geoportal. Geoportals give you an enterprise-level view of your geospatial resources regardless of their type or location. Resources are registered with a geoportal using metadata, which describes the location, age, quality, and other characteristics of the resources. With access to this information about resources, an organization can make decisions based on the best resources available. Geoportal Server has been hosted on SourceForge since 2010. We are in the process of migrating to GitHub as part of Esri's larger effort to support developers of the Esri platform with open source apps, samples, and SDK. Stay tuned for updates of this migration process.
publishing-sharing geoportal geoportal-server esri-geoportal-server metadata csw metadata-editing iso fgdc inspire metadata-management dcat gemini data-managementgeoportal-server-catalog - Geoportal Server next generation search application and metadata catalog, based on elasticsearch
As part of the evolution of Geoportal Server, the catalog capability has been separated into its own module. This because there are use cases where the catalog can be used without the need for harvesting or even metadata editing. This repository thus contains the catalog capability of Geoportal Server, while it's sibling geoportal-server-harvester is the new harvester of Geoportal Server.
publishing-sharing geoportal-server geoportal esri-geoportal-server metadata elasticsearch catalog metadata-editing csw iso fgdc dcat gemini data-managementgeoportal-server-harvester - Next generation harvester for Geoportal Server.
Top-level project for all Harvester modules.
publishing-sharing geoportal geoportal-server esri-geoportal-server metadata harvester csw ckan waf data-managementgeotrigger-editor - Visual editor for Esri's Geotrigger Service.
The Geotrigger Editor is a client-side web application for creating and editing Geotrigger rules. This is the open source version of the Geotrigger Editor available for Esri customers on the ArcGIS for Developers site. Read more about the editor here, and find out more about the Esri Geotrigger Service here.
data-managementjoint-military-symbology-xml - Joint Military Symbology Markup Language is a data encapsulation of MIL-STD-2525D and APP-6(D)
Joint Military Symbology XML (JointMilSyML or JMSML) is an XML schema, and associated instance data, designed to definitively document the contents of US DOD MIL-STD-2525D and NATO APP-6(D). In providing this schema, files of instance data, and sample C# code to navigate same, it is hoped that future defense and intelligence systems will be engineered to take advantage of this technology and, in so doing, accelerate the delivery of new military symbology, reflected in updates to these standards, to warfighters.
data-management military symbolslerc - Limited Error Raster Compression
LERC is an open-source image or raster format which supports rapid encoding and decoding for any pixel type (not just RGB or Byte). Users set the maximum compression error per pixel while encoding, so the precision of the original input image is preserved (within user defined error bounds). This repository contains both a C++ library for encoding/decoding images and JavaScript, C#, and Python decoders.
data-management native-development compression lerc-byte-blob raster encoding raster-compression decoding band imagery image image-processing image-compression image-compressor c-plus-plus c-sharp pixel decoding-imageslocal-government-desktop-addins - A series of ArcGIS Desktop Add-ins used in the ArcGIS for Local Government editing maps
The ArcGIS for Local Government Desktop Add-ins include a series of desktop toolbars that optimize data management workflows. The toolbars are used in ArcGIS for Local Government editing maps like: Water Utility Network Editing, Address Data Management, Water Utility Capital Planning, Special Event Planning, and Pre-Fire Planning. Detailed help is provided with each solution on the ArcGIS Solution Site.
data-management solutions local-government water-utility arcgis-desktop addin capital-planning network-visualization c-sharp governmentmaritime-charting-sample-scripts - Sample scripts and models to automate work in ArcGIS for Maritime: Charting
This repository contains simple models and python scripts that demonstrate how to automate various tasks using the ArcGIS for Maritime: Charting extension. Learn more here. Find a bug or want to request a new feature? Please let us know by submitting an issue.
data-management maritime charting s57 s-57 enc nautical nautical-chartsmdcs-py - MDCS is an acronym for Mosaic Dataset Configuration Script and is the entry point to a collection of Python classes/libraries that could be consumed by a Python client application to complete a given workflow for creating a mosaic dataset, populating it with data, and setting all required/desired parameters
The Mosaic Dataset Configuration Script (MDCS) is a Python script that reads parameters stored in an xml file in order to create, configure, and populate a mosaic dataset. If you want to try out MDCS, review the documentation included in the repo for instructions, and download the suggested sample data from ArcGIS Online.
data-management mosaic-datasets workflow imagery rasters image raster
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