Search Results for "visualizations"
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Showing 246 open source projects for "visualizations"
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Superset
Apache Superset is a data visualization and data exploration platform
...Superset is lightweight and highly scalable, leveraging the power of your existing data infrastructure without requiring yet another ingestion layer. Superset ships with a wide array of beautiful visualizations. Our visualization plug-in architecture makes it easy to build custom visualizations that drop directly into Superset. -
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projectM
Cross-platform Music Visualization Library
...Open-source and Milkdrop-compatible. Experience psychedelic and mesmerizing visuals by transforming music into equations that render a limitless array of user-contributed visualizations. projectM is an open-source project that reimplements the esteemed Winamp Milkdrop by Geiss in a more modern, cross-platform reusable library. Its purpose in life is to read an audio input and to produce mesmerizing visuals, detecting tempo, and rendering advanced equations into a limitless array of user-contributed visualizations. -
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Juggling Lab
Juggling Lab juggling animator
Juggling Lab is an open-source juggling simulation and animation software designed to visualize juggling patterns. It allows users to create, simulate, and analyze various juggling sequences, offering both 2D and 3D visualizations. Juggling Lab is highly customizable, supporting complex patterns and siteswap notation, making it a valuable tool for jugglers, performers, and enthusiasts looking to practice or study new routines. -
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VisPy
Main repository for Vispy
Vispy is an open-source, high-performance interactive visualization library in Python, designed for creating scientific visualizations and interactive plots. It leverages the power of modern Graphics Processing Units (GPUs) through OpenGL to render large datasets efficiently. Vispy supports a wide range of visualization types, including 2D plots, 3D visualizations, volume rendering, and more, making it suitable for scientific research, data analysis, and educational purposes. -
Financial reporting cloud-based software.The software is cloud based and automates complexities around consolidating and reporting for groups with multiple year ends, currencies and ERP systems with a slice and dice approach to reporting. While retaining the structure, control and validation needed in a financial reporting tool, we’ve managed to keep things flexible.
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folium
Python data, Leaflet.js maps
...Manipulate your data in Python, then visualize it in on a Leaflet map via folium. folium makes it easy to visualize data that’s been manipulated in Python on an interactive leaflet map. It enables both the binding of data to a map for choropleth visualizations as well as passing rich vector/raster/HTML visualizations as markers on the map. The library has a number of built-in tilesets from OpenStreetMap, Mapbox, and Stamen, and supports custom tilesets with Mapbox or Cloudmade API keys. folium supports both Image, Video, GeoJSON and TopoJSON overlays. To create a base map, simply pass your starting coordinates to Folium. ... -
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Foxglove Studio
Robotics visualization and debugging
Foxglove Studio is an open-source visualization and debugging tool for robotics. Use customizable layouts to arrange interactive visualizations and quickly understand what your robot is doing. Use Foxglove Studio's rich interactive visualizations to analyze live connections and pre-recorded data. Experience the world as your robot does. Visualize images and point clouds, overlay bounding boxes, add classification labels and planned movements, and drill down into your data with plots or raw message views. ... -
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Git Truck
Git repository visualizations, cumulative contribution statistics
Git-Truck is a visualization tool for analyzing Git repositories. It provides insights into codebase ownership, contributor activity, and repository structure through interactive visualizations. -
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Kibana
Your window into the Elastic Stack
Kibana is a analytics and search dashboard for Elasticsearch that allows you to visualize Elasticsearch data and efficiently navigate the Elastic Stack. With Kibana you can visualize and shape your data simply and intuitively, share visualizations for greater collaboration, organize dashboards and visualizations, and so much more. -
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Redash
Connect to any data source, easily visualize and share your data
...Redash combines the power and comfort of an SQL client with the collaborative benefits of a cloud-based service. It lets you create big, beautiful and easy to digest visualizations on dashboards for better decision-making. Redash supports a multitude of SQL and NoSQL data sources, and can be extended to support even more. Best of all it’s open source, so you can customize and add features to suit your organization’s needs perfectly. -
Axe Credit Portal - ACP- is axefinance’s future-proof AI-driven solution to digitalize the loan process from KYC to servicing, available as a locally hosted or cloud-based software.Founded in 2004, axefinance is a global market-leading software provider focused on credit risk automation for lenders looking to provide an efficient, competitive, and seamless omnichannel financing journey for all client segments (FI, Retail, Commercial, and Corporate.)
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ursina
A game engine powered by python and panda3d
ursina is an easy-to-use, open source game engine and framework for Python that is built on top of Panda3D, aiming to make game development approachable while still being powerful enough for real projects. It lets you create both 2D and 3D games, applications, and visualizations by writing concise Python scripts instead of dealing with a lot of low-level boilerplate. The engine is centered around an Entity-based architecture, where everything in the scene is an object you can easily configure and manipulate from code. Ursina focuses heavily on iteration speed, offering in-game reloading of code, textures, and models so you can tweak and test changes quickly. ... -
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dtreeviz
Python library for decision tree visualization & model interpretation
...Decision trees are the fundamental building block of gradient boosting machines and Random Forests(tm), probably the two most popular machine learning models for structured data. Visualizing decision trees is a tremendous aid when learning how these models work and when interpreting models. The visualizations are inspired by an educational animation by R2D3; A visual introduction to machine learning. Please see How to visualize decision trees for deeper discussion of our decision tree visualization library and the visual design decisions we made. -
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see
Visualisation toolbox for beautiful and publication-ready figures
see is an R package that serves as the visualization component of the easystats ecosystem, providing plotting utilities to produce publication-ready visualizations of statistical model parameters, diagnostics, predictions, and performance metrics. It works in conjunction with other easystats packages (such as parameters, performance, modelbased, bayestestR, etc.) to convert model outputs or summary objects into visual forms (dot-and-whisker plots, diagnostic plots, residual plots, etc.). ... -
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Data Formulator
Create rich visualizations with AI
To create rich visualizations, data analysts often need to iterate back and forth among data processing and chart specification to achieve their goals. To achieve this, analysts need not only proficiency in data transformation and visualization tools but also efforts to manage the branching history consisting of many different versions of data and charts. -
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Apexcharts.js
Interactive JavaScript Charts built on SVG
A modern JavaScript charting library that allows you to build interactive data visualizations with simple API and 100+ ready-to-use samples. Packed with the features that you expect, ApexCharts includes over a dozen chart types that deliver beautiful, responsive visualizations in your apps and dashboards. ApexCharts is an MIT-licensed open-source project that can be used in commercial and non-commercial projects. You can create a combination of different charts, sync them and give your desired look with unlimited possibilities. ... -
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Plots
Powerful convenience for Julia visualizations and data analysis
Data visualization has a complicated history. Plotting software makes trade-offs between features and simplicity, speed and beauty, and a static and dynamic interface. Some packages make a display and never change it, while others make updates in real-time. Plots is a visualization interface and toolset. It sits above other backends, like GR, PythonPlot, PGFPlotsX, or Plotly, connecting commands with implementation. If one backend does not support your desired features or make the right... -
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MIDI Visualizer
A small MIDI visualizer tool, using OpenGL
MIDIVisualizer is a cross-platform application that renders real-time visualizations of MIDI files using OpenGL. Inspired by the look of rhythm games and piano roll editors, it offers smooth animations and customizable themes to turn MIDI sequences into captivating graphical performances. It works as both a live visualizer and a tool to export visuals into video, making it ideal for musicians, VJs, and creators who want to produce visually engaging content synced to their compositions. -
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pgwatch2
PostgreSQL metrics monitor/dashboard
Flexible self-contained PostgreSQL metrics monitoring/dashboarding solution. Supports monitoring PG versions 9.0 to 16 out of the box. Pgwatch2 is a PostgreSQL monitoring tool designed to track database performance and usage, providing insights for database optimization. -
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H2O Wave
Realtime Web Apps and Dashboards for Python and R
No HTML, CSS, Javascript skills are required. Build rich, interactive web apps using pure Python. Broadcast live information, visualizations, and graphics using Wave's low-latency real-time server. Instant control over every connected web browser using a simple and intuitive programming model. Preview your app live as you code. Dramatically reduce the time and effort to build web apps. Easily share your apps with end-users, get feedback, improve and iterate. ~10MB static executables for Linux, Windows, OSX, BSD, Solaris on AMD64, 386, ARM, PPC. ... -
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rayshader
R Package for 2D and 3D mapping and data visualization
This is an R package designed for producing beautiful and interactive 2D and 3D visualizations — especially maps and terrain renderings — using elevation/gridded data and ray-tracing / hill-shading methods. At its core, rayshader takes a matrix of elevations and applies shading, texture, ambient occlusion, overlays, and light modeling (ray shade, lambertian shading, etc.) to produce realistic relief maps. Users can rotate, zoom, and animate the scenes or script camera trajectories programmatically. ... -
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R Color Palettes
Comprehensive list of color palettes available in R
...The goal is to provide designers, data scientists, and R users with aesthetically pleasing, perceptually consistent color schemes that work well for plots, maps, and graphics. The repo contains static files listing palette definitions (e.g. hex codes, named hues), sample visualizations showing how each palette performs under different contexts (categorical, sequential, diverging), and helper functions/scripts to import or use the palettes in R. The author also documents palette provenance and usage guidance (contrast, readability, colorblind friendliness). While not a full package in itself, it’s often used as a reference or source of palette definitions for other R plotting or theming packages. -
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Embedding Atlas
Tool that provides interactive visualizations for large embeddings
Embedding Atlas is an open-source tool by Apple that provides scalable, interactive visualizations for large embedding datasets. It enables users to visualize, cross-filter, and search through embeddings alongside rich metadata, all in real time using modern web-based technologies. In addition to the command line tool, Embedding Atlas is also available as a Jupyter widget. Finally, components from Embedding Atlas are also available in an npm package. -
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bbox-visualizer
Make drawing and labeling bounding boxes easy as cake
...This package helps users draw bounding boxes around objects, without doing the clumsy math that you'd need to do for positioning the labels. It also has a few different types of visualizations you can use for labeling objects after identifying them. There are optional functions that can draw multiple bounding boxes and/or write multiple labels on the same image, but it is advisable to use the above functions in a loop in order to have full control over your visualizations. -
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D3.js
A JavaScript library for visualizing data using web standards
D3.js (or D3 for Data-Driven Documents) is a JavaScript library that allows you to produce dynamic, interactive data visualizations in web browsers. With D3 you can bring data to life using SVG, Canvas and HTML. Powerful visualization and interaction techniques plus a data-driven approach to DOM manipulation means D3.js gives you greater design freedom and control over the final result. -
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Planck.js
2D JavaScript Physics Engine
...By offering collision detection, rigid-body dynamics, joints, and simulation capabilities, Planck.js makes it possible for developers to build physically realistic 2D games, simulations, or visualizations in browsers or Node.js without relying on native code. Its API mirrors Box2D’s concepts — bodies, fixtures, shapes, joints — which makes it familiar to users of classic Box2D, while being idiomatic for JavaScript developers. Because it's pure JavaScript, Planck.js integrates easily with HTML5 canvas, WebGL, or other browser-based rendering pipelines, facilitating smooth physics-driven games across platforms. ... -
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Trame
Weave various components and technologies into a Web App
...It enables the integration of various components and technologies, such as VTK and ParaView, into web applications written entirely in Python. With best-in-class platforms at its core, trame provides complete control of 3D visualizations and data processing. Developers benefit from a write-once environment from trame. trame is an open source project licensed under Apache License Version 2.0 which allows users to create open source or commercial applications without any licensing worries. By relying simply on Python and HTML, trame focuses on one's data and associated analysis and visualizations while hiding the complications of web development.
