Search Results for "google-visualization-python" - Page 4
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Showing 201 open source projects for "google-visualization-python"
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Feather
Binary data frame storage for Python, R, and more
...It provides columnar serialization for data frames, making read and write operations faster than many text-based formats. The project was built to make sharing data across languages such as Python and R easier. Feather is powered by the Apache Arrow columnar memory specification, which helps it represent numeric, string, categorical, date, timestamp, boolean, and binary data efficiently. It also supports null and missing values across column types. Current development continues through Apache Arrow, with modern Python usage handled through pyarrow.feather. -
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just-dashboard
Dashboards using YAML or JSON files
Dashboards using YAML or JSON files. Create a public GitHub gist with a file named dashboard.yml or dashboard.json (depending on your preferred format) As your dashboard is just data, you can generate it instead of repeating yourself. You can do that by generating the YAML or JSON file yourself, or you can use jq queries in your YAML file. And one with a dashboard that contains a component that can fetch the data from other other gist and turn it into 3 different charts. Using the same... -
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Query2Report
Simple open source business intelligence and reporting solution
Query2Report provides a simple opensource business intelligence platform that allows users to build report/dashboard for business analytics or enterprise reporting. The application transforms bunch SQL queries to beautiful google charts. The application caters to real time reporting with automatic refresh functionality. Refer to video tutorials Concepts - https://youtu.be/NdEUZ2suiv8 Data Analytics Demo - https://youtu.be/evCf74Ou7kg Data Forecast Demo - https://youtu.be/Nmi1UIDpFpM Report Showcase - https://youtu.be/gxlEGq5iSm8 Getting Started - https://youtu.be/vyU7BUE5rbs Building First Report - https://youtu.be/MZm6rhf2_Ts Source Repo GitHub : https://github.com/yogeshsd/query2report -
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Gio.js
A declarative 3D globe data visualization library built with Three.js
...This library is inspired by the Arms Trade Visualization project developed by Michael Chang and presented during Google Ideas INFO 2012. See original post. With Gio.js, it is easy to reproduce this fantastic data visualization model, and integrate it into web applications. -
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tota11y
An accessibility (a11y) visualization toolkit
tota11y helps visualize how your site performs with assistive technologies. The process of testing for accessibility (a11y) is often tedious and confusing. In many cases, developers must have some prior accessibility knowledge in order to make sense of the results. Instead, tota11y aims to reduce this barrier of entry by helping visualize accessibility violations (and successes), while educating on best practices. tota11y is a single JavaScript file that inserts a small button in the bottom... -
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React-Vis
Data visualization components
React-vis is a React visualization library. React-vis components are designed to work just like other React components. They have properties, children and callbacks. They can be composed. If you can work with React components, you can work with React-Vis. You can create complex charts with a minimum amount of code and sensible defaults, however, you can also customize every aspect of your chart. -
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CueMol
CueMol - Molecular Visualization Framework
CueMol - Molecular Visualization Framework based on OpenGL, Mozilla XULRunner, and javascript -
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CapAnalysis
PCAP from another point of view
CapAnalysis is a web visual tool for information security specialists, system administrators and everyone who needs to analyze large amounts of captured network traffic. Analyze TCP and UDP streams Support multible datasets Perform deep packet inspection Support filtering capability Source Code: https://github.com/xplico/CapAnalysis -
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xeogl
A WebGL-based 3D engine for technical visualization
xeogl is an open source JavaScript library from xeolabs for 3D model visualization on WebGL. It gives you tools to create interactive 3D worlds in your browser. Load models from formats like glTF or OBJ, or generate them programmatically. Navigate them with the camera and script them with Javascript, to build compelling 3D presentations. Load multiple models. Isolate/move/emphasize objects. Camera navigation controls. -
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Active Intelligence Server
Reporting, Dashboarding, Analytic, Self-service BI, Ad-hoc reporting
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. ... -
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DICOM Image Reader
A minimal Medical application to read and view DICOM (dcm) image file
Dicom Image Reader is opensource medical image viewer built with JavaScript, HTML5, NodeJS and Electron framework. It can load data in DICOM format (single image dcm) and provides standard tools for its manipulation such as contrast, zoom, drag, possibility to draw regions on top of the image and imaging filters such as threshold and sharpening. It is based DWV JavaScript opensource library. =============== Requirements: - Processor: Intel Pentium 4 processor or later that's SSE2... -
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Clustergrammer
An interactive heatmap visualization built using D3.js
Clustergrammer is a visualization library built using D3.js that enables intuitive interaction with high-dimensional data. Clustergrammer was built with biological data in mind. Clustergrammer is a web-based tool for visualizing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap. Clustergrammer's front end (Clustergrammer-JS) is built using D3.js and its back-end (Clustergrammer-PY) is built using Python. -
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x-ballistics
a browser based ballistics calculator for arrows and bullets
Browser based ballistics calculator for arrows and bullets: http://www.x-ballistics.eu/app/web/ballistics/index -
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Cleaver
30-second slideshows for hackers
Cleaver is a one-stop-shop for generating HTML presentations in record time. Using some spiced up markdown, you can produce good-looking, interactive presentations with a just a few lines of text. Cleaver supports several basic options that allow you to further customize the look and feel of your presentation, including author info, stylesheets, and custom templates. Cleaver has substantial theme support to give you more fine-grained control over your presentation, similar to options.... -
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Objective-C And Swift Dependencies
Objective-C and Swift dependency visualizer
Objective-C Dependency Visualizer is a tool that generates dependency graphs for Objective-C projects, helping developers understand code structure and module relationships. -
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Britecharts
Composable Charting Library based on reusable D3.js components
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... -
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NVD3
A reusable charting library written in d3.js
...Don’t forget the NVD3 css file! Checkout our examples gallery for how to code your first chart. Our examples should provide you with enough code to start making beautiful charts. Google Chrome is our best supported browser. NVD3 also works in Firefox, Opera, Safari and Internet Explorer 10. NVD3 is currently maintained by a team of frontend software engineers at Novus Partners. -
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Interactable
Experimental implementation of high performance interactable views
This is an experimental implementation of a declarative API for handling fluid user interactions with views at 60 FPS in React Native. Here are some example use-cases for views that users can interact with. Swipeable card (a la Google Now) springing into place unless swiped away with enough force. Drawer snapping between closed and open with buttons appearing gradually as it's being dragged. Collapsible header that snaps to a smaller size as the content below is being scrolled. Chat heads (a la Facebook Messenger) that can be dragged around but snap to corners of the screen. ... -
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Spark Notebook
Interactive and Reactive Data Science using Scala and Spark
Spark Notebook is an interactive web-based computational notebook designed to make working with Apache Spark more productive, exploratory, and expressive. It allows developers, data scientists, and analysts to write, run, and visualize Spark code in cells that support multiple languages such as Scala, Python, and SQL, all within the same notebook. Users can interleave runnable code, rich text markup, visualizations, equations, and results, enabling reproducible research and exploratory data analysis workflows. Because it runs on top of Spark’s distributed engine, it can scale from running locally on a laptop to executing on clusters with large datasets without changing user workflow. ... -
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vizceral
WebGL visualization for displaying animated traffic graphs
vizceral is a component for displaying traffic data on a webgl canvas. If a graph of nodes and edges with data about traffic volume is provided, it will render a traffic graph animating the connection volume between nodes. This component can take multiple traffic graphs and will generate a 'global' graph showing all incoming traffic into each of the 'regions', with support for cross-region traffic. There are three levels of information, global, regional, and service-level, with clicking or... -
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React Trend
Simple, elegant spark lines
Unfortunately, none of this project's authors have the time/enthusiasm to maintain this project right now. We recommend forking this project, or reading its source to learn how it's built). Graphing tools are often complex, abstract, and heavy. They require domain-specific knowledge and significant time investment. While building rich data visualizations for an analytics app, is a necessary cost. But what if you just need a sparkline that shows a trend? These are very simple and elegant... -
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ipytracer
Algorithm Visualizer for IPython/Jupyter Notebook
Algorithm Visualizer for IPython/Jupyter Notebook. If you use the display(TracerObject) code from where you want to see, you can use it without any special modification. -
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Illustrated Algorithms
Interactive algorithm visualizations
Inspired by Grokking Algorithms and python-execution-trace, this project aims to reveal the mechanics behind algorithms via interactive visualizations of their execution. Visual representations of variables and operations augment the control flow, alongside actual source code. You can fast forward and rewind the execution to closely observe how an algorithm works. The same code that is displayed next to the illustration is also decorated using babel-plugin-trace-execution and executed to record the context at every step. ... -
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Rodeo
A data science IDE for Python
A data science IDE for Python. RODEO, that is an open-source python IDE and has been brought up by the folks at yhat, is a development environment that is lightweight, intuitive and yet customizable to its very core and also contains all the features mentioned above that were searched for so long. It is just like your very own personal home base for exploration and interpretation of data that aims at Data Scientists and answers the main question, "Is there anything like RStudio for Python?" ... -
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ZENBU is a data integration, data processing, and visualization web system based around three main web interfaces : an expression data enhanced genome browser interface, a secured user system for data upload and secured data sharing, and a data explorer interface to find and manipulate data across the many supported experimental data types and to find shared user configurations ZENBU is built as a web2.0 client/server application with javascript web clients and c++ server infrastructure.
