Search Results for "big data visualization" - Page 23
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Showing 2049 open source projects for "big data visualization"
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SBEVSL is a collaborative project between Dowling and RIT on the development of a Structural Biology Extensible Visualization Scripting Language, so that users can move freely among various molecular graphics tools, such as rasmol, pymol, raster3d, etc.
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Divide and Conquer Treemaps
Divide and Conquer Treemap Visualisation
The project develops new new techniques and algorithms for quickly partitioning and visualizing very large hierarchical structures within a variety of arbitrary shapes and space using Divide and Conquer approach for Treemaps. Related publications: https://www.sciencedirect.com/science/article/pii/S1045926X1500066X https://dl.acm.org/doi/pdf/10.1145/2493102.2493112 -
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Tree Visualisation with Visual Cues
Tree Visualisation with Visual Cues
This project extends a previous work on node link tree visualisation and interaction by providing visual clues on hidden structures. We adopt DOITree from Prefuse package (https://github.com/prefuse/Prefuse), a multi-focal tree layout algorithm, for exploring large hierarchical structures. Related publications: https://www.sciencedirect.com/science/article/pii/S1045926X1630009X https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6902871 -
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MessyTimeSeries.jl
A Julia implementation of basic tools for time series analysis
A Julia implementation of basic tools for time series analysis compatible with incomplete data. Advanced estimation and validation algorithms are included in MessyTimeSeriesOptim. -
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TOAST UI Chart
Beautiful chart for data visualization
The Chart makes your data pop, and it is easy to use. It provides you with multiple charts like Bar, Column, Line, and more. The functionality of TOAST UI Chart is available when using the Plain JavaScript, React, Vue Component. TOAST UI Chart makes your data pop and presents it in a manner that is easy to understand. Furthermore, it provides a wide range of theme options for customizing the charts to be suitable for all of your services. Chart components like the title, axes, legends,... -
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Indicators.jl
Financial market technical analysis & indicators in Julia
Indicators is a Julia package offering efficient implementations of many technical analysis indicators and algorithms. This work is inspired by the TTR package in R and the Python implementation of TA-Lib, and the ultimate goal is to implement all of the functionality of these offerings (and more) in Julia. This package has been written to be able to interface with both native Julia Array types, as well as the TS time series type from the Temporal package. Contributions are of course always... -
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Miletus.jl
Writing financial contracts in Julia
Miletus is a financial contract modelling language written in Julia, based on papers by Peyton Jones and Eber [PJ&E2000],[PJ&E2003] (more closely modelled on the second one). -
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CliMA Land
Everything within the Land model
CliMA Land is a next generation Land Surface Model (LSM) designed to use the broadly available remote sensing data as well as ground-based flux measurements. CliMA Land is a highly modular platform to promote research at different scales from tissue to organ, whole plant, and ecosystem. Therefore, we deliver CliMA Land via a patch of packages (also referred to as sub-modules) to reduce the time used to initialize a research project. As a result, the repository is more a collection of... -
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InteractiveCodeSearch.jl
Interactively search Julia code from terminal
Julia has @edit, @less, etc. which are very handy for reading the implementation of functions. However, you need to specify a "good enough" set of (type) parameters for them to find the location of the code. -
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MonteCarlo.jl
Classical and quantum Monte Carlo simulations in Julia
MonteCarlo.jl is a package implementing classical and quantum Monte Carlo simulations primarily for solid state physics. Currently the focus is on finding a overall design for the package and verifying that determinant Quantum Monte Carlo (DQMC) is working correctly. As such the package may still go through significant changes and the documentation may be outdated and incomplete. Note that classical Monte Carlo is also not a focus at this point. It is probably usable, but a lot of the... -
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ODBC.jl
An ODBC interface for the Julia programming language
The ODBC.jl package provides a Julia interface for the ODBC API as implemented by various ODBC driver managers. More specifically, it provides a prebuilt copy of iODBC and unixODBC for OSX/Linux platforms, while still relying on the system-provided libraries on Windows. This means that no extra installation of a driver manager is necessary after installing the ODBC.jl package. -
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ThreadsX.jl
Parallelized Base functions
Add prefix ThreadsX. to functions from Base to get some speedup, if supported. The reduce-based functions support any collections that implement SplittablesBase.jl interface including arrays, Dict, Set, and iterator transformations. In particular, these functions support iterator comprehension. ThreadsX.jl is aiming at providing API compatible with Base functions to easily parallelize Julia programs. All functions that exist directly under ThreadsX namespace are public API and they implement... -
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Weave Scope
Monitoring, visualization and management for Docker and Kubernetes
Understand your application quickly by seeing it in a real-time interactive display. Pick open-source or cloud-hosted options. Weave Scope automatically detects processes, containers, hosts. No kernel modules, no agents, no special libraries, no coding. Seamless integration with Docker, Kubernetes, DCOS and AWS ECS. See your Docker hosts, containers and services in real-time. Easily identify and correct issues to ensure the stability and performance of your containerized applications. View... -
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FLoops.jl
Fast sequential, threaded, and distributed for-loops for Julia
Fast sequential, threaded, and distributed for-loops for Julia, fold for humans.FLoops.jl provides a macro @floop. It can be used to generate a fast generic sequential and parallel iteration over complex collections. Furthermore, the loop written in @floop can be executed with any compatible executors. See FoldsThreads.jl for various thread-based executors that are optimized for different kinds of loops. FoldsCUDA.jl provides an executor for GPU. FLoops.jl also provides a simple distributed... -
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JuliaCall for Seamless Integration of R
Embed Julia in R
Package JuliaCall is an R interface to Julia, which is a high-level, high-performance dynamic programming language for numerical computing. Below is an image for Mandelbrot set. JuliaCall brings more than 100 times speedup of the calculation. -
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Diana.jl
GraphQL for Julia
GraphQL is a data query language for APIs and a runtime for fulfilling those queries with your existing data developed by Facebook in 2012 and launched on the internet in 2015. It is an alternative to REST and ad-hoc web service architectures. -
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Gap.app
Gap.app is a frontend and distribution for GAP on macOS
A native Macintosh front-end and distribution for the GAP computer algebra system. It provides a Mac-like command editing environment and save/load, while making available graphical libraries compatible with xgap. -
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Julog.jl
A Julia package for Prolog-style logic programming
A Julia package for Prolog-style logic programming. -
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Bloxs
Build dashboards in Jupyter Notebook with numeric and chart boxes
Bloxs is a simple Python package that helps you display information in an attractive way (formed in blocks). Perfect for building dashboards, reports and apps in the notebook. -
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AugmentedGaussianProcesses.jl
Gaussian Process package based on data augmentation, and sparsity
AugmentedGaussianProcesses.jl is a Julia package in development for Data Augmented Sparse Gaussian Processes. It contains a collection of models for different gaussian and non-gaussian likelihoods, which are transformed via data augmentation into conditionally conjugate likelihood allowing for extremely fast inference via block coordinate updates. There are also more options to use more traditional variational inference via quadrature or Monte Carlo integration. -
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rayshade-mathematica
rayshade and POV for Mathematica Export + view
Beautifully Render* your Graphic3D and Shown or Manipulate right in the Front End (without Export to, ie 3DStudio Art Renderer, et al). For use with Mathematica 4.0 - 13.1. Makes file.ray or .pov that will look much like image in notebook except rendered. Works easily/automatically with many Graphics3D (and some Graphic) as well. However graphics in 13.1 is too big to comment on: many will work many not. Has many options to fix renders that aren't so auto. Now very portable... -
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vue-grid-layout
A draggable and resizable grid, for Vue.js.
vue-grid-layout is a grid layout system, like Gridster, for Vue.js. Heavily inspired by React-Grid-Layout. Bounds checking for dragging and resizing. Widgets can be added or removed without rebuilding grid. Layout can be serialized and restored. Automatic RTL support (resizing not working with RTL on 2.2.0). For legacy browsers, like IE11, use version 2.3.12-legacy. For Vue 2.1.10 and below use version 2.1.3. For Vue 1 use version 1.0.3. Ignore drag on certain elements and allow on others.... -
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Spark.jl
Julia binding for Apache Spark
A Julia interface to Apache Spark. Spark.jl provides an interface to Apache Spark™ platform, including SQL / DataFrame and Structured Streaming. It closely follows the PySpark API, making it easy to translate existing Python code to Julia. Spark.jl supports multiple cluster types (in client mode), and can be considered as an analog to PySpark or RSpark within the Julia ecosystem. It supports running within on-premise installations, as well as hosted instances such as Amazon EMR and Azure... -
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Soss
Probabilistic programming via source rewriting
Soss is a library for probabilistic programming. Soss and DynamicPPL are both maturing and becoming more complete, so the above will change over time. It's also worth noting that we (the Turing team and I) hope to move toward a natural way of using these systems together to arrive at the best of both.