Search Results for "visualizations"
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Showing 61 open source projects for "visualizations"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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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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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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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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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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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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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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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. -
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Homemade Machine Learning
Python examples of popular machine learning algorithms
homemade-machine-learning is a repository by Oleksii Trekhleb containing Python implementations of classic machine-learning algorithms done “from scratch”, meaning you don’t rely heavily on high-level libraries but instead write the logic yourself to deepen understanding. Each algorithm is accompanied by mathematical explanations, visualizations (often via Jupyter notebooks), and interactive demos so you can tweak parameters, data, and observe outcomes in real time. The purpose is pedagogical: you’ll see linear regression, logistic regression, k-means clustering, neural nets, decision trees, etc., built in Python using fundamentals like NumPy and Matplotlib, not hidden behind API calls. ... -
Lightspeed golf course management softwareFrom tee sheet management, point of sale and payment processing to marketing, automation, reporting and more—Lightspeed is built for the pro shop, restaurant, back office, beverage cart and beyond.
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Open MCT
A web based mission control framework
...While Open MCT is developed to support space missions, its core concepts are not unique to that domain. It can display streaming and historical data, imagery, timelines, procedures, and other data visualizations, all in one place. Open MCT is currently used to support distributed spacecraft operations across multiple locations. NASA itself has many missions currently using Open MCT as well as "VISTA", which is a multi-mission operations system built with Open MCT. -
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ModernGL
Modern OpenGL binding for Python
...It provides an intuitive API for rendering 2D and 3D graphics, making it accessible to both beginners and experienced developers. ModernGL is suitable for applications such as games, simulations, and data visualizations. -
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Matplotlib
matplotlib: plotting with Python
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Matplotlib ships with several add-on toolkits, including 3D plotting with mplot3d, axes helpers in axes_grid1 and axis helpers in axisartist. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy). ... -
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The GR module for Julia
Plotting for Julia based on GR
This is the GR module for Julia. It places a Julia interface to GR, a universal framework for visualization applications. GR allows users to create high quality, engaging visualizations, everything from 2D graphs to complex 3D scenes. With this module simply type in Julia 'using gr', and you can instantly start calling functions in the GR framework API. GR is based on an implementation of a Graphical Kernel System (GKS) and OpenGL. As a self-contained system, integration into existing applications is quick and easy-- simply use a direct call from Julia with ccall syntax. -
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easystats
The R easystats-project
easystats is a meta‑package that installs and unifies a suite of R packages for post‑processing statistical models. It delivers a consistent API to assess model performance, effect sizes, parameters, and to generate reports and visualizations, all with minimal dependencies and maximum clarity. -
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Shiny
Build interactive web apps directly from R with Shiny framework
Shiny is an R package from RStudio that enables users to build interactive web applications using R without requiring knowledge of JavaScript, HTML, or CSS. It allows statisticians and data scientists to turn their analyses into fully functional web dashboards with reactive elements, data inputs, visualizations, and controls, making data communication more effective and dynamic. -
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grafanalib
Python library for building Grafana dashboards
Grafanalib is a Python library for building Grafana dashboards programmatically, allowing users to automate dashboard creation and configuration. -
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Chronograf
Open source monitoring and visualization UI for the TICK stack
Chronograf allows you to quickly see the data that you have stored in InfluxDB so you can build robust queries and alerts. It is simple to use and includes templates and libraries to allow you to rapidly build dashboards with real-time visualizations of your data. Access control is only available in InfluxDB Enterprise and InfluxDB Cloud. Chronograf offers a complete dashboarding solution for visualizing your data. Over 20 pre-canned dashboards are available to allow you to get started very quickly. You can easily clone one of this pre-canned dashboard to create customized dashboards or build them from scratch — either way, you can build the perfect dashboard to fulfill your visualization needs! ... -
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Flatbush
A very fast static spatial index for 2D points and rectangles in JS
...An efficient implementation of the packed Hilbert R-tree algorithm. Enables fast spatial queries on a very large number of objects (e.g. millions), which is very useful in maps, data visualizations and computational geometry algorithms. -
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Copulas
A library to model multivariate data using copulas
...Choose from a variety of univariate distributions and copulas – including Archimedian Copulas, Gaussian Copulas and Vine Copulas. Compare real and synthetic data visually after building your model. Visualizations are available as 1D histograms, 2D scatterplots and 3D scatterplots. Access & manipulate learned parameters. With complete access to the internals of the model, set or tune parameters to your choosing. -
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Svelte UX
Collection of Svelte components, actions, stores, and utilities
...A rich design token system is also currently in the works. See also the companion library LayerChart for a large collection of composable chart components to build a wide range of visualizations. -
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Vibe Design System
Official monday.com UI resources for application development in React
...Vibe is distributed as a package, and loading its CSS tokens provides a unified theming baseline across apps and extensions. Components are designed to optimize usability and accessibility while supporting monday-style workflows such as boards, dashboards, and complex data visualizations. -
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GitLens
Supercharge Git inside VS Code and unlock untapped knowledge
...It helps you to visualize code authorship at a glance via Git blame annotations and CodeLens, seamlessly navigate and explore Git repositories, gain valuable insights via rich visualizations and powerful comparison commands, and so much more. GitLens simply helps you better understand code. Quickly glimpse into whom, why, and when a line or code block was changed. Jump back through history to gain further insights as to how and why the code evolved. Effortlessly explore the history and evolution of a codebase. Today, with over 18 million installs and over 120 million downloads, GitLens is loved and relied upon by millions of users, ranging from single developers to large enterprise teams. -
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GeoStats.jl
An extensible framework for geospatial data science
...Users can represent georeferenced tables (points + attributes), define domains (grids, meshes, structured/unstructured), and then apply geostatistical operations such as kriging, interpolation, simulation, variogram estimation, and learning-based prediction. Visualization is supported via integration with Makie.jl to produce spatial renderings, mesh visualizations, and variable overlays. -
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react-map-gl
React friendly API wrapper around MapboxGL JS
react-map-gl is a suite of React components designed to provide a React API for Mapbox GL JS-compatible libraries. More information is in the online documentation. Starting with v2.0, mapbox-gl requires a Mapbox token for any usage, with or without the Mapbox data service. See about Mapbox tokens for your options. To show maps from a service such as Mapbox you will need to register on their website in order to retrieve an access token required by the map component, which will be used to... -
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Pretty Jupyter
Creates dynamic html report from jupyter notebook.
...Most of the features require little to no work to get working and greatly improve the quality of the output report, or even the developer’s comfort when creating the report. For example, tabs make some visualizations much more comfortable. The features are integrated directly into the output page, therefore there is no need to have an interpreter running in the backend. This makes the HTML easily sendable or uploadable to a static website.
