Search Results for "google-visualization-python" - Page 33
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Showing 2286 open source projects for "google-visualization-python"
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Nexplorer is a web-based phylogenetic browser, used to view and edit comparative data, and ideal for creating publication-quality views in which the tips of a tree are aligned with the rows of a character matrix (e.g., a sequence alignment).
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RayTracer.jl
Differentiable RayTracing in Julia
This package was written in the early days of Flux / Zygote. Both these packages have significantly improved over time. Unfortunately, the current state of this package of has not been updated to reflect those improvements. It also seems that it might be better to gradually transition to defining the adjoints directly using ChainRules. A Ray Tracer written completely in Julia. This allows us to leverage the AD capabilities provided by Zygote to differentiate through the Ray Tracer. -
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ccplot
CloudSat and CALIPSO plotting tool
ccplot is an open source command-line program for plotting profile, layer and earth view data sets from CloudSat, CALIPSO and Aqua MODIS products. -
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GtkDatabox3
A GTK-3 widget to display data
This project intended to be a backup replacement for GtkDatabox, but now we are contributing directly there. -
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pycoQC
pycoQC computes metrics and generates Interactive QC plots
...The package supports 1D and 1D2 runs generated with Minion, Gridion and Promethion devices and basecalled with Albacore 1.2.1+ or Guppy 2.1.3+. PycoQC is written in pure Python3. Python 2 is not supported. -
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LightGraphs
An optimized graphs package for the Julia programming language
LightGraphs offers both (a) a set of simple, concrete graph implementations -- Graph (for undirected graphs) and DiGraph (for directed graphs), and (b) an API for the development of more sophisticated graph implementations under the AbstractGraph type. The project goal is to mirror the functionality of robust network and graph analysis libraries such as NetworkX while being simpler to use and more efficient than existing Julian graph libraries such as Graphs.jl. It is an explicit design... -
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Space-Otimized Tree
An Enclosure+Connection Visualization Technique for Hierarchical Data
A Enclosure+Connection technique for layout and navigation of Hierarchical Information. The layout uses "angular" enclosure partitioning approach where the child nodes are located around their parent. The program was written in Java Applet. Related Publications: https://ieeexplore.ieee.org/abstract/document/1173152 https://journals.sagepub.com/doi/abs/10.1057/palgrave.ivs.9500031 -
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ApplicationBuilder.jl
Compile, bundle, and release julia software
Turn your Julia program into a standalone, distributable, statically-compiled "App". ApplicationBuilder compiles a Julia program and bundles it up into a distributable application, on macOS, Windows and Linux! After building, your users can download your application and run it without having Julia installed. -
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VIKAMINE is a flexible environment for visual analytics, data mining and business intelligence - implemented in pure Java. It features several powerful visualization and mining methods, and can utilize background knowledge.
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libPGF
libPGF is an implementation of the Progressive Graphics File (PGF)
The Progressive Graphics File (PGF) is an efficient image file format, that is based on a fast, discrete wavelet transform with progressive coding features. PGF can be used for lossless and lossy compression. It's most suitable for natural images. PGF can be used as a very efficient and fast replacement of JPEG 2000. -
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Davinci
Davinci is a DVsaaS (Data Visualization as a Service) Platform
Davinci is oriented towards product managers, business people, data engineers, data analysts, data scientists, etc. It aims to provide a one-stop data visualization solution, which could be both independently used as a public cloud/private cloud and integrated into third-party systems as plugin. A simple configuration on Davinci UI can meet multiple visualization requirements. It also supports other visualization features like advanced interaction, industry analysis, pattern searching, social intelligence, etc. ... -
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OpenFrames
Real-time interactive 3D graphics API for scientific simulations
OpenFrames has moved its primary development repository to GitHub! Everything else will follow. Get it at https://github.com/ravidavi/OpenFrames/wiki OpenFrames is an Application Programming Interface (API) that allows developers to provides the ability to add interactive 3D graphics to any scientific simulation. A simulation developer can use OpenFrames to specify what they want to visualize, without having to know any details of computer graphics programming. OpenFrames is currently... -
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Luminance HDR
Complete solution for HDR photography
Luminance HDR is a complete suite for HDR imaging workflow. It provides a wide range of functionalities, during both the fusion stage and the tonemapping stage. Its graphical user interface, based on Qt5, runs on a variety of platforms, such as Microsoft Windows, Mac OS X 10.9 and later and several Unix flavors (Linux, FreeBSD and others). Input images can be supplied in multiple formats, from JPEG to RAW files. In the same way, output can be saved in many different formats as well, from... -
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DEPRECATED - KVFinder
Cavity Detection PyMOL plugin
...Please read and cite the original paper ParKVFinder: A thread-level parallel approach in biomolecular cavity detection (10.1016/j.softx.2020.100606). [pyKVFinder] pyKVFinder is available in this Python Package Index (PyPI) repository, https://pypi.org/project/pyKVFinder and this GitHub repository, https://github.com/LBC-LNBio/pyKVFinder. Please read and cite the original paper pyKVFinder: an efficient and integrable Python package for biomolecular cavity detection and characterization in data science (10.1186/s12859-021-04519-4). -
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Google Analytics Beacon Analytics
Google Analytics collector-as-a-service (using GA measurement protocol
GA Beacon is a lightweight tracking proxy for pages that can display images but cannot run Google Analytics JavaScript. A page embeds a badge or transparent pixel whose URL identifies the analytics property and a meaningful tracking path. The service receives that image request, generates a visitor identifier, and forwards the hit through the Google Analytics Measurement Protocol. Cookies allow it to distinguish repeat visits without requiring client-side scripts. -
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Jupytab
Display in Tableau data from Jupyter notebooks
Jupytab allows you to explore in Tableau data which is generated dynamically by a Jupyter Notebook. You can thus create Tableau data sources in a very flexible way using all the power of Python. This is achieved by having Tableau access data through a web server created by Jupytab. -
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ArrayFire.jl
Julia wrapper for the ArrayFire library
ArrayFire is a library for GPU and accelerated computing. ArrayFire.jl wraps the ArrayFire library for Julia, and provides a Julia interface. Install ArrayFire library: either download a binary from the official site, or you can build from source. -
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GPlates
Interactive visualization of plate tectonics.
...Manipulate reconstructions of geological and paleo-geographic features through geological time. Interactively visualize vector, raster and volume data. PyGPlates is the GPlates Python library. Get fine-grained access to GPlates functionality in your Python scripts. -
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WebVisu
Pure Browser based Visualisation for PLCs
Framework to enable PLC Visualisations (like Wago 750-841, Beck IPC, CoDeSys 2.3) displayed in a standalone Browser without Java applets. Including Browsers of iPad, iPhone, iPod, Android aso.. Based on HTML5 canvas and Javascript. -
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ElectronDisplay.jl
An Electron.jl based figure and table display.
This package provides a display for figures, plots and tables. When you load the package, it will push a new display onto the Julia display stack and from then on it will display any value that can be rendered as png, svg, vega, vega-lite or plotly in an electron-based window. This is especially handy when one works on the REPL and wants plots or tables to show up in a nice window. -
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ClimateMachine.jl
Earth System Model that automatically learns from data
The ClimateMachine is a software package that models the evolution of the Earth system over weeks to centuries. The ClimateMachine solves three-dimensional partial differential equations for the distributions of water, momentum, energy, and tracers such as carbon in the atmosphere, oceans, and on land. The ClimateMachine will harness a wide range of Earth observations and data generated computationally to predict the evolution of Earth’s climate and features such as droughts, rainfall... -
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repo2docker GitHub Action
A GitHub action to build data science environment images
Trigger repo2docker to build a Jupyter enabled Docker image from your GitHub repository and push this image to a Docker registry of your choice. This will automatically attempt to build an environment from configuration files found in your repository. Images generated by this action are automatically tagged with both latest and <SHA> corresponding to the relevant commit SHA on GitHub. Both tags are pushed to the Docker registry specified by the user. If an existing image with the latest tag... -
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JuliaDB.jl
Parallel analytical database in pure Julia
JuliaDB is a package for working with large persistent data set. JuliaDB provides distributed table and array datastructures with convenient functions to load data from CSV. JuliaDB is Julia all the way down. This means queries can be composed with Julia code that may use a vast ecosystem of packages. -
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OzGIS free open-source mapping system
Analysis and display of Census, business, government attribute data
OzGIS is an extensive mapping system for the analysis and display of geographically referenced data. Map data are downloaded from Census bureaux and map agencies or extracted from your own databases. The system can be used to to support management decisions associated with, for example, government planning, marketing, sales, site and personnel location, advertising and research. Systems for Windows, Mac and Ubuntu, source code, sample data files and manuals are included. DOWNLOAD to... -
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CNN Explainer
Learning Convolutional Neural Networks with Interactive Visualization
In machine learning, a classifier assigns a class label to a data point. For example, an image classifier produces a class label (e.g, bird, plane) for what objects exist within an image. A convolutional neural network, or CNN for short, is a type of classifier, which excels at solving this problem! A CNN is a neural network: an algorithm used to recognize patterns in data. Neural Networks in general are composed of a collection of neurons that are organized in layers, each with their own...
