Open Source JavaScript Data Management Systems - Page 3

The HyperImage platform supports the linking of (audio)-visual objects, texts and mixed-media documents. References between images in total, regions of images, annotations regarding the images, and other media, are achieved by means of hyperlinks.

Camp information management system, including event registration, lodging, donor giving, mailings, rental management, and more.

Datafor is a self-service agile BI tool that provides intuitive and user-friendly data visualization and analysis capabilities to help users quickly explore, analyze, and make decisions with their data.

geoStarsLib has functions for dealing with many geodesy-based problems found in positioning, pointing, and surveying situations. It is useful to determine absolute position on the earth, pointing vectors, coordinate transformations, and other functions.

Krona allows hierarchical data to be explored with zoomable HTML5 pie charts. Krona charts can be created using an Excel template or Krona Tools, which includes support for several bioinformatics tools and raw data formats.

OPENSUITE - an integration platform to enable process data integration between independently developed business applications.OPENSUITE integration platform takes advantage of the SOA best integration practices to supply the middleware layer functionality

Target is PHP and AJAX application that allows the user to create one or more target areas over an image. The target area can be moved and resized. All information is stored in MYSQL via AJAX. History can be replayed via AJAX and JavaScript animation.

ValiTerms is a tool that helps the validation of terms in corpus. It finds their occurrences and allows terminologists to choose if a term is relevant or not. ValiTerms is developed at LIPN (http://www-lipn.univ-paris13.fr), RCLN team. Please consult the wiki for instructions about installation and usage.

VisualNMS is a network management system with powerful visualisation features due to its vectorial based rendering (SVG). It is built using perl, javascript, SVG, HTML. It includes Layer 2 autodiscovery based on LLDP and other discovery protocols (Cisco's CDP, Extreme Networks' EDP, etc.). Other features include: real time SVG graphs on links, web2cli engine (AJAX to Telnet/CLI), editable maps, auto layout (based esentially on GraphViz), VLAN mapping (work in progress) based on SNMP.

AJAX Topic Map is an application designed to visualize Topic Maps in any webbrowser without the use of plugins.

The article explains the design and the characteristics of a new open source content aggregation system. Among the features of the program, stands out a new processing engine of syndication channels, monitoring capability of information recovery in real time, the possibilities of the configuration of aggregator behavior, automatic classification of contents and new models for representation of information from relational interactive maps. On the other hand, the aggregation program, which named AXYZ, is designed to manage thousands of syndication channels of RSS format. Furthermore it also provides statistics that can be used to study the production of any producer subject and the impact of the information that published in other sources. The result that has been obtained in the research, allow to create modules capable of compare the relationship between different news or information from different sources, their degree of influence and their detection by the patterns.

Active Intelligence Server 2 (AIS) is a data visualization tool and fully featured reporting server which enable users from open source community to host any reports created using BIRT, Jasper and Pentaho community edition allowing organization to leverage open source technologies and enable them to use AIS as a reporting server to deploy their existing and new reports seamlessly onto AIS for secure sharing the information in different file formats and schedule to make system automation and much more. AIS comes with self-service BI capabilities enabling end users to make the data-driven decision at the right time, all with minimal IT dependency. Tightly integrated user and role management ensure correct information distribution that prevents unauthorized access to information, collaboration is ever so easy with AIS that people with no BI knowledge can start real-time collaboration in minutes. AIS 2 is also available from the website http://activeintelligence.co.uk/download

Appacts was designed and developed with user in mind, leaving old style analytics services behind and starting fresh. We’ve looked for a way to empower our users by presenting data to them in a quick summarised view. We are here to make analytics exciting, engaging and more importantly productive, so you can make right decisions quickly.

This project aims at displaying and analysing data recorded by Arexx temperature loggers on Unix operating systems. Although the code is currently implemented for etching data from Arexx loggers, the UI itself is completely independent and can be reused with other temperature databases.

This software allows SAP BW web reports to be printed out directly from a web browser. It allows both fit to page and tile over multiple page options fully controlled by the user.

Extremely Lightweight Beat Detection Algorithm - BeatDetektor uses a very simple statistical model designed from scratch by myself to detect the BPM of music and provides real-time feedback useful for visualization and synchronization.

BigBizViz is an open source visualization software which represents the social network between the German incorporated companies (“Deutschland AG”), the members of the German federal assembly (“Deutscher Bundestag”) and members of pressure groups

The project would include the development of XUL, CSS and Javascript components to assist biologists in sequence manipulations, data mining, data analysis, etc.).

The purpose of the project is to develop a quantitative medical imaging & visualization program for use on brain MR, DTI and MRS data. It is a joint project of the Kennedy Krieger Institute & the Johns Hopkins University, Psychiatric Neuroimaging Lab

Book-A-Lyze is an open source web application for analysis and visualization of social structures at Facebook. The project is part of the study course “Media Management and Production” at the University of Applied Sciences, Kaiserslautern.

Use Pentaho open source business intelligence tools and MySQL to collect & distribute web analytics (clickstream) data. Extract data from logs, load database tables, & present the information in dashboards, analysis cubes, and reports for business users. This project has been moved to github - https://github.com/cjlavigne/breadboard

Britecharts is a client-side reusable Charting Library based on D3.js v5 that offers easy and intuitive use of charts and components that can be composed together to create amazing visualizations. Britecharts components have been written in ES2016 with a Test Driven methodology, so they are fully tested, and we are committed to keeping them that way. The typical use of Britecharts involves creating a chart using its simple API, then rendering it on a container that has previously had data applied to it. All the components expose some common API methods like width, height, and margin. Additionally, each chart or component can expose specific methods you can find in the documentation. Britecharts components are distributed in UMD modules, each one exposing a D3.js component written with the Reusable API pattern. To use any of the Britecharts modules, you will need to require the chart in your JS file using AMD/CommonJS modules or adding a script tag with the src pointing to the file.

In machine learning, a classifier assigns a class label to a data point. For example, an image classifier produces a class label (e.g, bird, plane) for what objects exist within an image. A convolutional neural network, or CNN for short, is a type of classifier, which excels at solving this problem! A CNN is a neural network: an algorithm used to recognize patterns in data. Neural Networks in general are composed of a collection of neurons that are organized in layers, each with their own learnable weights and biases. Let’s break down a CNN into its basic building blocks. A tensor can be thought of as an n-dimensional matrix. In the CNN above, tensors will be 3-dimensional with the exception of the output layer. A neuron can be thought of as a function that takes in multiple inputs and yields a single output. The outputs of neurons are represented above as the red → blue activation maps.

Goal of our project CSX (City Stats X) is to program a generic interface to visualize and present social data about a city. We will present this on the example of the city of Linz in Austria.

This is a short C++/Java/C#/Python benchmark. Based on Paul Heckbert's sources. Thank you Paul!