Search Results for "visualizations" - Page 6
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Showing 239 open source projects for "visualizations"
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Reanimate
Haskell library for building declarative animations based on SVG
...It provides declarative functionality for composing SVG-based animations and integrates with tools like LaTeX, FFmpeg, Inkscape, Blender, and more to deliver rich, animated content for educational and mathematical visualizations. Reanimate aims at being a batteries-included way of gluing together different technologies: SVG as a universal image format, LaTeX for typesetting, ffmpeg for video encoding, inkscape/imagemagick for rasterization, potrace for vectorization, blender/povray for 3D graphics, and Haskell for scripting. Reanimate is a library for programmatically generating animations with a twist towards mathematics / 2D vector drawings. ... -
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AmplitudeJS
Open Source HTML5 Web Audio Library
...If you are very thankful for what you can do with AmplitudeJS or if you are using AmplitudeJS to make any sort of revenue, we kindly ask that you contribute any resources available to keep the community growing. Autogenerate waveforms and visualizations using the Web Audio API. Public functions for unlimited control! All of our example players have the code available on our "AmplitudeJS Example Players" repository. -
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PINCIS
PINCIS.pl is a Perl bioinf. script to analyze PICS data
...Thus, the script filters given peptide lists for library peptides (generated by the digestion protease in the proteomics workflow rather then the protease of interest) and prints out lists of inferred N- and C-terminal cleavage window extensions which can be concurrently used to generate cleavage specificity visualizations like the iceLogo (https://iomics.ugent.be/icelogoserver/create). -
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...These capabilities combined with a powerful parallelization mechanism and interaction models already familiar to administrators allows Savors to display complex visualizations of data streamed from many different systems with minimal effort.
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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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R4DS (R for Data Science)
R for data science: a book
...It covers the workflow from importing data, tidying, transforming, visualizing, modelling, communicating results, and programming in R. The repository contains the source files (Quarto / RMarkdown), example datasets, visualizations, exercises, and all content needed to build the book. Includes many example datasets, diagrams, code samples, and “hands-on” exercises. Comprehensive coverage of data-science workflow: data import, cleaning, transformation, exploration, modelling etc. Includes topics beyond basics: relational data (joins), date/time, strings, working with missing values, visualizing data, etc. -
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SZT-bigdata
SZT‑bigdata is an open source project
SZT‑bigdata is an open-source project analyzing real Shenzhen metro (subway) card usage data using big‑data frameworks like Spark, Hadoop, Hive, Kafka, Flink, ClickHouse, HBase, and Elasticsearch. Aimed at exploring transit passenger flow patterns and system optimization using a variety of Scala-based technologies. -
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Turi Create
Simplifies the development of custom machine learning models
Turi Create simplifies the development of custom machine learning models. You don't have to be a machine learning expert to add recommendations, object detection, image classification, image similarity or activity classification to your app. If you want your app to recognize specific objects in images, you can build your own model with just a few lines of code. Turi Create supports macOS 10.12+, Linux (with glibc 2.10+), Windows 10 (via WSL). Turi Create requires Python 2.7, 3.5, 3.6, 3.7,... -
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Quadrotor
Quadrotor control, path planning and trajectory optimization
This MATLAB-based repository contains implementations of quadrotor control systems, path planning, and trajectory optimization algorithms developed as part of an advanced robotics course at the University of Pennsylvania. It includes PD controllers, path planning via Dijkstra and A* algorithms, and trajectory optimization (minimum snap/acceleration). Run code: change trajectories in file control/runsim.m and run. See quadrotor_dynamics.pdf for dynamic modeling of the quadrotor. See... -
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fastpages
Blogging platform, with enhanced support for Jupyter Notebooks
This site is built with fastpages, An easy to use blogging platform with extra features for Jupyter Notebooks. fastpages automates the process of creating blog posts via GitHub Actions, so you don’t have to fuss with conversion scripts. A full list of features can be found on GitHub. Create posts containing code, outputs of code (which can be interactive), formatted text, etc directly from Jupyter Notebooks; Notebook posts support features. -
Deliver trusted data with dbtData teams use dbt to codify business logic and make it accessible to the entire organization—for use in reporting, ML modeling, and operational workflows.
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Grafana Flowcharting
Flowcharting, plugin for Grafana to create complexe visio's draws
Grafana Flowcharting is a plugin for Grafana that adds interactive flowchart visualizations for metrics and data. -
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Go canvas
Canvas is a Go drawing library based on OpenGL
...It is built using OpenGL for hardware acceleration and offers a simple, familiar interface for developers looking to draw shapes, images, and text in desktop applications or games. Canvas focuses on ease of use, speed, and flexibility, making it suitable for GUI overlays, visualizations, and real-time 2D rendering tasks. Its API is intentionally similar to JavaScript’s Canvas API, lowering the barrier for web developers transitioning into C++ graphics work. -
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Data Science at the Command Line
Data science at the command line
Command Line by Jeroen Janssens, published by O’Reilly Media in October 2021. Obtain, scrub, explore, and model data with Unix Power Tools. This repository contains the full text, data, and scripts used in the second edition of the book Data Science at the Command Line by Jeroen Janssens. This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful... -
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The Neural Process Family
This repository contains notebook implementations
...Each notebook includes theoretical explanations, key building blocks, and executable code that runs directly in Google Colab, requiring no local setup. Implementations rely only on standard dependencies such as NumPy, TensorFlow, and Matplotlib, and provide visualizations of model performance. -
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hrbrthemes
Opinionated, typographic-centric ggplot2 themes and theme components
hrbrthemes is a focused ggplot2 theme package with an emphasis on typography, layout precision, and visual polish. It includes themes like theme_ipsum and Font scales tailored for clean, high‑quality production graphics. -
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Able Interval Timer
A user-programmable multi-interval timer with a guided breathing tool
In this application you can create timer programs for exercise routine timers, breathing timers, sleep timers, etc. It includes visualizations that sync with the active timer. Requires .NET Framework 4.7.2 -
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Manifold ML
A model-agnostic visual debugging tool for machine learning
Manifold is a model-agnostic visual debugging tool for machine learning. Understanding ML model performance and behavior is a non-trivial process, given the intrisic opacity of ML algorithms. Performance summary statistics such as AUC, RMSE, and others are not instructive enough to identify what went wrong with a model or how to improve it. As a visual analytics tool, Manifold allows ML practitioners to look beyond overall summary metrics to detect which subset of data a model is... -
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PixieDust
Python Helper library for Jupyter Notebooks
PixieDust is an open source Python helper library that works as an add-on to Jupyter notebooks to improve the user experience of working with data. It also fills a gap for users who have no access to configuration files when a notebook is hosted on the cloud. -
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Inviwo
Interactive Visualization Workshop
...Built in C++ with a modular, extensible architecture, Inviwo combines a visual editor (for creating data pipelines) with a powerful runtime engine that supports real-time rendering, interaction, and GPU-accelerated processing. It’s widely used in scientific domains for building and sharing visualizations of complex data such as medical imaging, simulations, and machine learning models. The platform supports both novice users through its graphical interface and advanced users through scripting and plugin development. -
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Facets
Visualizations for machine learning datasets
The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive. Explore Facets Overview and Facets Dive on the UCI Census Income dataset, used for predicting whether an individual’s income exceeds $50K/yr based on their census data. ... -
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GLava
GLava - OpenGL audio spectrum visualizer
GLava is a real-time OpenGL audio spectrum visualizer for Linux desktops that renders directly onto your desktop background. Designed for users who enjoy live audio visualizations integrated with their environment, it supports shader-based effects and customization for creating stunning reactive visuals. GLava works with PulseAudio and ALSA and can be embedded seamlessly with tiling window managers or traditional desktop setups. Its configuration is flexible, allowing the community to design and share themes. -
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Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
...The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This capability can often be leveraged by sending users to the same URL that your visualization code uses internally to load the data. While DRP is primarily a data API, it also provides a default collection of interactive visualizations through the @wq/chart library, and a @wq/pandas loader to facilitate custom JavaScript charts that work well with CSV output served by DRP. ... -
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Rough
Create graphics with a hand-drawn, sketchy, appearance
...It emulates the appearance of a pencil sketch or doodle, giving digital drawings an informal and expressive look. The library is ideal for creative applications, data visualizations, and prototypes that benefit from a casual visual style. Rough is written in JavaScript and easily integrates with modern front-end frameworks and visualization tools. -
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ComplexHeatmap
Make Complex Heatmaps
ComplexHeatmap is an R/Bioconductor package by Zuguang Gu et al. designed to create highly flexible, complex, richly annotated heatmaps and related visualizations. It allows arranging multiple heatmaps, adding annotations, combining heatmaps, customizing colors, layouts, and integrating other plots. Often used in genomics/bioinformatics to show expression, methylation, etc., with sidebars, annotations, clustering, etc. Highly customizable layout: combining different heatmaps, arranging and splitting, dealing with multiple heatmap merges, combining with other plots etc. ... -
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Play-With-Sort-OC
Repository implemented in Objective-C with sorting algorithms
Play-With-Sort-OC is a learning-oriented repository implemented in Objective-C that demonstrates several classic sorting algorithms with code examples (selection sort, bubble sort, insertion sort, quick sort variants, heap sort, etc). The goal is educational; by showing how each algorithm works with animations or clear visualizations in an iOS/Objective-C context, the author helps developers understand not just the “how” but also the “why” behind each algorithm. The repo is especially suited for developers working in the Apple ecosystem (Objective-C, Xcode) who want to build foundational knowledge in data structures and algorithms. By making the code accessible, it lowers the barrier to exploring algorithm performance, variant comparisons, and understanding underlying complexity. ... -
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Scikit-plot
An intuitive library to add plotting functionality to scikit-learn
...Besides, if you ever need to present your results to someone (virtually any time anybody hires you to do data science), you show them visualizations, not a bunch of numbers in Excel. That said, there are a number of visualizations that frequently pop up in machine learning. Scikit-plot is a humble attempt to provide aesthetically challenged programmers (such as myself) the opportunity to generate quick and beautiful graphs and plots with as little boilerplate as possible.
