Front End Applications Using One Stop JavaScript Library from Telerik

Nov 3, 20141 like1,482 views

Kendo UI is a single JavaScript library that provides widgets, UI elements, and frameworks for building responsive web sites, web applications, hybrid mobile apps, and data visualizations. It includes 22 widgets across its web, mobile, and data visualization modules and supports features like data binding, MVVM, templates, globalization and more. Kendo UI can be obtained from GitHub, NuGet, or direct download and includes demos, documentation and support resources.

Kendo UI
One Package for your Web/Mobile/DataViz Apps
Lohith G N

BackboneJS0.5.3Mustache0.4.0Lawnchair0.6.1jQueryUI1.8.16jQGrid4.1.2Highcharts2.1.6jQuery Plugins[misc] UnderscoreJS1.1.7jQueryUIMobile1.0……
Single Scoped
Libraries
Current Day Scenario:

But what you Need: One Library to build Web Sites & Apps

Everything you need to buildsites and mobile appswith HTML and JavaScript

Kendo UI
•Web
•Web Widgets
•Web Framework Elements
•OOB 7 themes
•Angular Directives
•Mobile
•Hybrid Mobile Control Set
•Complete Mobile Widgets
•Mobile Framework Elements
•OOB Adaptive Rendering
•DataViz
•Data Visualization Widgets
•SVG
•Fallback to VML
•22 Widgets

Kendo Framework
Datasource
Validation
Globalization
Templates
MVVM
Drag & Drop
Effects
SPA
Widgets
Angular Directives

Globalization
<scriptsrc="kendo.culture.en-GB.js"></script>
<script type="text/javascript">
//set current to the "en-GB" culture script kendo.culture("en-GB"); </script>

Front End Applications Using One Stop JavaScript Library from Telerik

AngularJSDirectives
// in controller:
$scope.monthPickerConfig= {
start: "year",
depth: "year",
format: "MMMM yyyy"
};
<!--in HTML: -->
<inputkendo-date-pickerk-options="monthPickerConfig"/>

How to get Kendo UI Core?
•GitHubhttps://github.com/telerik/kendo-ui-core
•NuGet Package –KendoUICorehttp://www.nuget.org/packages/KendoUICore/
•Downloadhttp://www.telerik.com/download/kendo-ui-core
•CDN –

Kendo UI Dojohttp://trykendoui.telerik.com

Kendo UI Demoshttp://demos.telerik.com/kendo-ui

About Me
Developer Evangelist, Telerik
Microsoft MVP (ASP.NET/IIS)
BDotNet
Author
Lohith.Nagaraj@Telerik.com
@kashyapa
http://about.me/kashyapa
http://www.kashyapas.com
Lohith G N

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Down the Rabbit Hole – Solving 5 Training RoadblocksRustici Software

Feeling stuck in the Matrix of your training technologies? You’re not alone. Managing your training catalog, wrangling LMSs and delivering content across different tools and audiences can feel like dodging digital bullets. At some point, you hit a fork in the road: Keep patching things up as issues pop up… or follow the rabbit hole to the root of the problems. Good news, we’ve already been down that rabbit hole. Peter Overton and Cameron Gray of Rustici Software are here to share what we found. In this webinar, we’ll break down 5 training roadblocks in delivery and management and show you how they’re easier to fix than you might think.

Reducing Conflicts and Increasing Safety Along the Cycling Networks of East-F...Safe Software

In partnership with the Belgian Province of East-Flanders this project aimed to reduce conflicts and increase safety along a cycling route between the cities of Oudenaarde and Ghent. To achieve this goal, the current cycling network data needed some extra key information, including: Speed limits for segments, Access restrictions for different users (pedestrians, cyclists, motor vehicles, etc.), Priority rules at intersections. Using a 360° camera and GPS mounted on a measuring bicycle, we collected images of traffic signs and ground markings along the cycling lanes building up mobile mapping data. Image recognition technologies identified the road signs, creating a dataset with their locations and codes. The data processing entailed three FME workspaces. These included identifying valid intersections with other networks (e.g., roads, railways), creating a topological network between segments and intersections and linking road signs to segments and intersections based on proximity and orientation. Additional features, such as speed zones, inheritance of speed and access to neighbouring segments were also implemented to further enhance the data. The final results were visualized in ArcGIS, enabling analysis for the end users. The project provided them with key insights, including statistics on accessible road segments, speed limits, and intersection priorities. These will make the cycling paths more safe and uniform, by reducing conflicts between users.

PyData - Graph Theory for Multi-Agent Integrationbarqawicloud

Graph theory is a well-known concept for algorithms and can be used to orchestrate the building of multi-model pipelines. By translating tasks and dependencies into a Directed Acyclic Graph, we can orchestrate diverse AI models, including NLP, vision, and recommendation capabilities. This tutorial provides a step-by-step approach to designing graph-based AI model pipelines, focusing on clinical use cases from the field.

Mastering AI Workflows with FME - Peak of Data & AI 2025Safe Software

Harness the full potential of AI with FME: From creating high-quality training data to optimizing models and utilizing results, FME supports every step of your AI workflow. Seamlessly integrate a wide range of models, including those for data enhancement, forecasting, image and object recognition, and large language models. Customize AI models to meet your exact needs with FME’s powerful tools for training, optimization, and seamless integration

Scaling GenAI Inference From Prototype to Production: Real-World Lessons in S...Anish Kumar

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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/from-enterprise-to-makers-driving-vision-ai-innovation-at-the-extreme-edge-a-presentation-from-sony-semiconductor-solutions/ Amir Servi, Edge Deep Learning Product Manager at Sony Semiconductor Solutions, presents the “From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge” tutorial at the May 2025 Embedded Vision Summit. Sony’s unique integrated sensor-processor technology is enabling ultra-efficient intelligence directly at the image source, transforming vision AI for enterprises and developers alike. In this presentation, Servi showcases how the AITRIOS platform simplifies vision AI for enterprises with tools for large-scale deployments and model management. Servi also highlights his company’s collaboration with Ultralytics and Raspberry Pi, which brings YOLO models to the developer community, empowering grassroots innovation. Whether you’re scaling vision AI for industry or experimenting with cutting-edge tools, this presentation will demonstrate how Sony is accelerating high-performance, energy-efficient vision AI for all.

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This presentation dives into how MuleSoft empowers AgentForce with organized API discovery and streamlined integration using Topic Center and the API Catalog. Learn how these tools help structure APIs around business needs, improve reusability, and simplify collaboration across teams. Ideal for developers, architects, and business stakeholders looking to build a connected and scalable API ecosystem within AgentForce.

High Availability On-Premises FME Flow.pdfSafe Software

FME Flow is a highly robust tool for transforming data both automatically and by user-initiated workflows. At the Finnish telecommunications company Elisa, FME Flow serves processes and internal stakeholders that require 24/7 availability from underlying systems, while imposing limitations on the use of cloud based systems. In response to these business requirements, Elisa has implemented a high-availability on-premises setup of FME Flow, where all components of the system have been duplicated or clustered. The goal of the presentation is to provide insights into the architecture behind the high-availability functionality. The presentation will show in basic technical terms how the different parts of the system work together. Basic level understanding of IT technologies is required to understand the technical portion of the presentation, namely understanding the purpose of the following components: load balancer, FME Flow host nodes, FME Flow worker nodes, network file storage drives, databases, and external authentication services. The presentation will also outline our lessons learned from the high-availability project, both benefits and challenges to consider.

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No-Code Workflows for CAD & 3D Data: Scaling AI-Driven InfrastructureSafe Software

When projects depend on fast, reliable spatial data, every minute counts. AI Clearing needed a faster way to handle complex spatial data from drone surveys, CAD designs and 3D project models across construction sites. With FME Form, they built no-code workflows to clean, convert, integrate, and validate dozens of data formats – cutting analysis time from 5 hours to just 30 minutes. Join us, our partner Globema, and customer AI Clearing to see how they: -Automate processing of 2D, 3D, drone, spatial, and non-spatial data -Analyze construction progress 10x faster and with fewer errors -Handle diverse formats like DWG, KML, SHP, and PDF with ease -Scale their workflows for international projects in solar, roads, and pipelines If you work with complex data, join us to learn how to optimize your own processes and transform your results with FME.

Enabling BIM / GIS integrations with Other Systems with FMESafe Software

Jacobs has successfully utilized FME to tackle the complexities of integrating diverse data sources in a confidential $1 billion campus improvement project. The project aimed to create a comprehensive digital twin by merging Building Information Modeling (BIM) data, Construction Operations Building Information Exchange (COBie) data, and various other data sources into a unified Geographic Information System (GIS) platform. The challenge lay in the disparate nature of these data sources, which were siloed and incompatible with each other, hindering efficient data management and decision-making processes. To address this, Jacobs leveraged FME to automate the extraction, transformation, and loading (ETL) of data between ArcGIS Indoors and IBM Maximo. This process ensured accurate transfer of maintainable asset and work order data, creating a comprehensive 2D and 3D representation of the campus for Facility Management. FME's server capabilities enabled real-time updates and synchronization between ArcGIS Indoors and Maximo, facilitating automatic updates of asset information and work orders. Additionally, Survey123 forms allowed field personnel to capture and submit data directly from their mobile devices, triggering FME workflows via webhooks for real-time data updates. This seamless integration has significantly enhanced data management, improved decision-making processes, and ensured data consistency across the project lifecycle.

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