Search Results for "plot"
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Showing 154 open source projects for "plot"
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Observable Plot
A concise API for exploratory data visualization
Plot can be readily extended in JavaScript, whether to define a channel, a transform, or even a custom mark. -
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ggpubr
'ggplot2' Based Publication Ready Plots
ggpubr is an R package that provides easy-to-use wrapper functions around ggplot2 to create publication-ready visualizations with minimal code. It streamlines plot creation for researchers and analysts, allowing features such as statistical annotation, theme customization, and plot arrangement with fewer lines of code. -
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Windows Plot (wplot)
Windows Ploting Software
Windows ploting (wplot) Software wplot is a quick and easy to use Windows GUI software program for quickly creating and analyzing data plots. Create plots with millions of data points in seconds. Once the data is plotted you can easily use the many tools to explore your plot in great detail by zooming in/out, scrolling your plot and much more. Mutiple objects (data files/sets) can be plotted and overlaid. Objects can be individually hidden/viewed as the plot is studied. wplot does NOT generate data. wplot reads data points from file(s) and generates varied plots based on that data. A single Windows executable. ... -
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HyperTools
A Python toolbox for gaining geometric insights
...The basic pipeline is to feed in a high-dimensional dataset (or a series of high-dimensional datasets) and, in a single function call, reduce the dimensionality of the dataset(s) and create a plot. -
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PairPlots.jl
Beautiful and flexible vizualizations of high dimensional data
Beautiful and flexible visualizations of high-dimensional data. This package produces pair plots, otherwise known as corner plots or scatter plot matrices: grids of 1D and 2D histograms that allow you to visualize high-dimensional data. Pair plots are an excellent way to visualize the results of MCMC simulations, but are also a useful way to visualize correlations in general data tables. The default styles of this package roughly reproduce the output of the Python library corner.py for a single series and chainconsumer.py for multiple series. ... -
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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.). It... -
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PyVista
3D plotting and mesh analysis through a streamlined interface
...This module can be used for scientific plotting for presentations and research papers as well as a supporting module for other mesh-dependent Python modules. Easily integrate with NumPy and create a variety of geometries and plot them. You could use any geometry to create your glyphs, or even plot the points directly. Direct access to mesh analysis and transformation routines. Intuitive plotting routines with matplotlib similar syntax. -
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ggrepel
epel overlapping text labels away from each other in your ggplot2
...Supports both plotting of labels inside or outside plot area, with trimming/clipping etc. -
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FriendsDon'tLetFriends
Friends don't let friends make certain types of data visualization
Friends don't let friends make certain types of data visualization - What are they and why are they bad. -
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Beads Viewer
Task management system for coding agents
Beads Viewer is a visualization tool designed to display, inspect, and interact with “bead plots,” graphical representations often used in statistical analysis, time series exploration, or clustering visualizations where data points are represented as beads on strands or axes to emphasize patterns and relationships. The viewer provides an intuitive graphical interface that automatically renders bead plots from structured data inputs, enabling users to observe trends at a glance, highlight... -
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Gaston.jl
A julia front-end for gnuplot
Gaston is a Julia package for plotting. It provides an interface to gnuplot, a powerful plotting package available on all major platforms. The current stable release is v1.1.0, and it has been tested with Julia LTS (1.6) and stable (1.8), on Linux. Gaston should work on any platform that runs gnuplot. -
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Matplot++
Matplot++: A C++ Graphics Library for Data Visualization
...Matplot++ is a graphics library for data visualization that provides interactive plotting, means for exporting plots in high-quality formats for scientific publications, a compact syntax consistent with similar libraries, dozens of plot categories with specialized algorithms, multiple coding styles, and supports generic backends. -
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Digital Earth Australia notebooks
Repository for Digital Earth Australia Jupyter Notebooks
The knowledge hub brings together information about Digital Earth Australia’s products and services, allowing you to utilize our free and open-source satellite imagery archive. Browse our catalog of data products to find supporting information and ways to access the data. The Digital Earth Australia notebooks and tools repository (dea-notebooks) hosts Jupyter Notebooks, Python scripts and workflows for analyzing Digital Earth Australia (DEA) satellite data and derived products. This... -
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Winston.jl
2D plotting for Julia
2D plotting for Julia. Winston offers an easy-to-use plot command to create figures without any fuss. After Winston is loaded by typing using Winston, the most basic plot can be created. -
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Visdom
A tool for creating, organizing, and sharing data visualizations
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy. Visdom aims to facilitate visualization of (remote) data with an emphasis on supporting scientific experimentation. Broadcast visualizations of plots, images, and text for yourself and your collaborators. Organize your visualization space programmatically or through the UI to create dashboards for live data, inspect results of experiments, or debug experimental code. Visdom has... -
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The PyPlot module for Julia
Plotting for Julia based on matplotlib.pyplot
...This package takes advantage of Julia's multimedia I/O API to display plots in any Julia graphical backend, including as inline graphics in IJulia. Alternatively, you can use a Python-based graphical Matplotlib backend to support interactive plot zooming etcetera. -
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gganimate
A Grammar of Animated Graphics
gganimate extends the grammar of graphics as implemented by ggplot2 to include the description of animation. It does this by providing a range of new grammar classes that can be added to the plot object in order to customize how it should change with time. Here we take a simple boxplot of fuel consumption as a function of cylinders and let it transition between the number of gears available in the cars. As this is a discrete split (gear being best described as an ordered factor) we use transition_states and provide a relative length to use for transition and state view. ... -
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ScottPlot
Interactive Plotting Library for .NET
ScottPlot is a free and open-source plotting library for .NET that makes it easy to interactively display large datasets. Line plots, bar charts, pie graphs, scatter plots, and more can be created with just a few lines of code. The ScottPlot Cookbook demonstrates how to create line plots, bar charts, pie graphs, scatter plots, and more with just a few lines of code. The ScottPlot Demo is a click-to-run application that demonstrates mouse-interactive versions of every cookbook recipe.... -
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Positron
Positron, a next-generation data science IDE
Positron is a next-generation integrated development environment (IDE) created by Posit PBC (formerly RStudio Inc) specifically tailored for data science workflows in Python, R, and multi-language ecosystems. It aims to unify exploratory data analysis, production code, and data-app authoring in a single environment so that data scientists move from “question → insight → application” without switching tools. Built on the open-source Code-OSS foundation, Positron provides a familiar coding... -
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AAChartKit Swift
An elegant modern declarative data visualization chart framework
An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. AAInfographics is the Swift language version of AAChartKit which is object-oriented, a set of easy-to-use, extremely elegant graphics drawing controls,based on the popular open source front-end chart library Highcharts. It makes it very fast to add interactive charts to your mobile projects. ... -
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Quick 2d Plot
Program for live 2d graphical representation of data streams
Quick2dPlot, or q2d for short, is an open source minimalistic plotting program designed for live 2d graphical representation of data streams. The program may be useful for plotting output of different user's application programs, especially in case when the user wants to see a plot or a number of plots during calculations or a data acquisition process. The program is command-driven and uses no widgets. Q2d is written in C, it takes advantage of SDL2 library for plotting. Currently it has been tested under Linux and under Windows via Cygwin. -
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PLplot
Cross-platform, scientific graphics plotting library
PLplot is a cross-platform, scientific graphics plotting library that supports math symbols and human languages (via UTF-8 user input strings); plot capabilities for multiple non-interactive plot file formats and in multiple interactive environments; and bindings for multiple computer languages. -
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TabuVis
An Interactive Visualisation for Tabular Data
TabuVis is a comprehensive visual analysis tool that provides a flexible, customizable and interactive visualization for tabular (or multidimensional) data. It utilizes scatter-plot visualization approach to provide comprehensive and interactive views for different attribute mappings. It provides single scatter-plot and multiple scatter-plots together with Map (GIS) capability. The project is available at: http://staff.scem.uws.edu.au/~vinh/projects/TabuVis/ Related publications: https://www.sciencedirect.com/science/article/pii/S2468502X20300358 https://dl.acm.org/doi/pdf/10.1145/2968220.2968248 https://link.springer.com/content/pdf/10.1007/s11432-013-4870-1.pdf https://dl.acm.org/doi/pdf/10.1145/2397696.2397705 -
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Photon
A graphing calculator that's both powerful and easy to use.
Photon is a fully functional graphing calculator capable of numeric calculations as well as graphing functions, including parametric and polar graphs. In addition to regular graphing, Photon can plot integrals, first and second derivatives, tracing, animation, matrix math, and degree / radian mode. Photon can find roots, minimums and maximums, points of inflection, and it can fit several types of best fit lines and curves to data sets. Log and semi-log graphing are also available. Photon can save data to several file types, including images such as .jpg and .png. ... -
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NumeRe
Framework for numerical computations, data analysis and visualisation
Curve fitting | Data analysis | Plotting | Matrix operations | FFT | Extensible framework | Multiple file formats | Programmable | Open source | Free for everyone NumeRe: Framework for Numerical Computation is a numerical framework written for Microsoft Windows(R) and released under the GNU GPL v3 for solving and visualizing mathematical and physical problems numerically. Keep simple things simple: You want to plot a sine function? Just enter 'plot sin(x)'. You want to load some data? Enter 'load "path/to/your/file"' or drag the file into the terminal. You need to fit a function to the data? Enter 'fit data() -with=YOURFUNCTION(x)' Need assistance? Enter 'help topic' into the terminal or simply press [F1]. Find us on Discord: https://discord.gg/s5tSjwU Follow us on Mastodon: https://fosstodon.org/@numeredevs Visit our page: https://www.numere.org Buy us a coffee: https://ko-fi.com/numere We've moved to GitHub: https://github.com/numere-org
