Showing 266 open source projects for "unit-api"

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  • 1
    Transducers.jl

    Transducers.jl

    Efficient transducers for Julia

    Transducers are transformations of "sequence" of input that can be composed very efficiently. The interface used by transducers naturally describes a wide range of processes that is expressible as a succession of steps. Furthermore, transducers can be defined without specifying the details of the input and output (collections, streams, channels, etc.) and therefore achieves a full reusability. Transducers are introduced by Rich Hickey, the creator of the Clojure language. His Strange Loop...
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  • 2
    Scaffold Hunter
    Scaffold Hunter is a JAVA-based software tool for the analysis of structure-related biochemical data. It enables generation of and navigation in a scaffold tree hierarchy annotated with various data.
    Downloads: 5 This Week
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  • 3
    Weave

    Weave

    Scientific reports/literate programming for Julia

    Weave is a scientific report generator/literate programming tool for the Julia programming language. It resembles Pweave, knitr, R Markdown, and Sweave. You can write your documentation and code in an input document using Markdown, Noweb or ordinal Julia script syntax, and then use the weave function to execute code and generate an output document while capturing results and figures. Supports various output document formats: HTML, PDF, GitHub markdown, Jupyter Notebook, MultiMarkdown,...
    Downloads: 0 This Week
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  • 4
    ScikitLearn.jl

    ScikitLearn.jl

    Julia implementation of the scikit-learn API

    The scikit-learn Python library has proven very popular with machine learning researchers and data scientists in the last five years. It provides a uniform interface for training and using models, as well as a set of tools for chaining (pipelines), evaluating, and tuning model hyperparameters. ScikitLearn.jl brings these capabilities to Julia. Its primary goal is to integrate both Julia- and Python-defined models together into the scikit-learn framework.
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  • 5
    DataMelt

    DataMelt

    Computation and Visualization environment

    ...DMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Neural networks and various data-manipulation methods are integrated using powerful Java API. Elements of symbolic computations using Octave/Matlab scripting are supported.
    Downloads: 9 This Week
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  • 6
    TOAST UI Chart

    TOAST UI Chart

    Beautiful chart for data visualization

    ...Make the data presented in the Line, Area, and Treemap Charts zoomable with the zoomable option. View and manage new data as they are added realtime with the addData API and the options.series.shift option.
    Downloads: 0 This Week
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  • 7
    hui

    hui

    hewies user interface - 3D scientific visualisation tool

    Python project with goal to provide FOSS library to extract, analyse and visualise data in a 3D fashion. The instance will connect to a data source, ods sheet, csv, sql DB, pyodbc the instance will analyse and/or transform the data to be presented to the visualisation functionality the instance will visualise the data in a 3D fashion, likely using third party FOSS
    Downloads: 0 This Week
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  • 8
    ThreadsX.jl

    ThreadsX.jl

    Parallelized Base functions

    ...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 a subset of API provided by Base. Everything inside ThreadsX.Implementations is an implementation detail. The public API functions of ThreadsX expect that the data structure and function(s) passed as argument are "thread-friendly" in the sense that operating on distinct elements in the given container from multiple tasks in parallel is safe. ...
    Downloads: 0 This Week
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  • 9
    ODBC.jl

    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.
    Downloads: 0 This Week
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  • 10
    StarMap 3D: the project aims to offer a fast and easy consultation of stellar systems
    Downloads: 0 This Week
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  • 11
    Diana.jl

    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.
    Downloads: 0 This Week
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  • 12
    Spark.jl

    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 HDInsight.
    Downloads: 0 This Week
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  • 13
    SandDance

    SandDance

    Visually explore, understand, and present your data

    By using easy-to-understand views, SandDance helps you find insights about your data, which in turn help you tell stories supported by data, build cases based on evidence, test hypotheses, dig deeper into surface explanations, support decisions for purchases, or relate data into a wider, real world context. SandDance uses unit visualizations, which apply a one-to-one mapping between rows in your database and marks on the screen. Smooth animated transitions between views help you to maintain context as you interact with your data. This new version of SandDance has been rebuilt from scratch with the goal of being modular, extensible, and embeddable into your custom applications. ...
    Downloads: 0 This Week
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  • 14
    Remotery

    Remotery

    Single C file, Realtime CPU/GPU Profiler with Remote Web Viewer

    Remotery is a real-time CPU/GPU profiler implemented as a single C file, providing developers with immediate insights into the performance of their applications. It features a remote web-based viewer that runs in browsers like Chrome, Firefox, and Safari, allowing for cross-platform performance analysis. Remotery supports profiling multiple threads and GPU contexts, offering a comprehensive view of an application's performance characteristics.
    Downloads: 0 This Week
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  • 15
    Twitter.jl

    Twitter.jl

    Julia package to access Twitter API

    A Julia package for interacting with the Twitter API. Twitter.jl is a Julia package to work with the Twitter API v1.1. Currently, only the REST API methods are supported; streaming API endpoints aren't implemented at this time. Once your application is approved, you can access your dashboard/portal to grab your authentication credentials from the "Details" tab of the application.
    Downloads: 0 This Week
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  • 16
    TSNE-CUDA

    TSNE-CUDA

    GPU Accelerated t-SNE for CUDA with Python bindings

    This repo is an optimized CUDA version of FIt-SNE algorithm with associated python modules. We find that our implementation of t-SNE can be up to 1200x faster than Sklearn, or up to 50x faster than Multicore-TSNE when used with the right GPU. You can install binaries with anaconda for CUDA version 10.1 and 10.2 using conda install tsnecuda -c conda-forge. Tsnecuda supports CUDA versions 9.0 and later through source installation, check out the wiki for up to date installation instructions....
    Downloads: 0 This Week
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  • 17
    giza

    giza

    A scientific plotting library for C/Fortran built on cairo

    A 2D scientific plotting library built on cairo. Provides uniform output to pdf, ps, png and X-Windows. Written in C with no dependencies (other than cairo) as a direct replacement for PGPLOT.
    Downloads: 4 This Week
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  • 18
    Actors.jl

    Actors.jl

    Concurrent computing in Julia based on the Actor Model

    Concurrent computing in Julia based on the Actor Model. Actors make(s) concurrency easy to understand and reason about and integrate(s) well with Julia's multi-threading and distributed computing. It provides an API for writing reactive applications.
    Downloads: 0 This Week
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  • 19
    Quan is designed to model physical quantities in C++ programs. Advantages include automated dimensional analysis checking, automatic unit conversions, self documentation of code.
    Downloads: 0 This Week
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  • 20
    stats Koa

    stats Koa

    Request statistics middleware that stores response times, status code

    Request statistics middleware. Request statistics middleware that stores response times, status code counts, etc.
    Downloads: 0 This Week
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  • 21
    ReplMaker.jl

    ReplMaker.jl

    Simple API for building repl modes in Julia

    The idea behind ReplMaker.jl is to make a tool for building (domain-specific) languages in Julia. Suppose you've invented some language called MyLang and you've implemented a parser that turns MyLang code into Julia code which is then supposed to be executed by the Julia runtime. With ReplMaker.jl, you can simply hook your parser into the package and ReplMaker will then create a REPL mode where end users just type MyLang code and have it executed automatically. My hope is for this to be...
    Downloads: 0 This Week
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  • 22
    LightGraphs

    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 decision that any data not required for graph manipulation (attributes and other information, for example) is expected to be stored outside of the graph structure itself. ...
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  • 23
    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.
    Downloads: 0 This Week
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  • 24
    OpenFrames

    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 used by three NASA programs: Copernicus (NASA JSC), the General Mission Analysis Tool (GMAT, NASA GSFC), and a Virtual Reality exploration tool (NASA GSFC).
    Downloads: 0 This Week
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  • 25
    StellarGraph

    StellarGraph

    Machine Learning on Graphs

    ...For example, a graph can contain people as nodes and friendships between them as links, with data like a person’s age and the date a friendship was established. StellarGraph supports the analysis of many kinds of graphs. StellarGraph is built on TensorFlow 2 and its Keras high-level API, as well as Pandas and NumPy. It is thus user-friendly, modular and extensible. It interoperates smoothly with code that builds on these, such as the standard Keras layers and scikit-learn.
    Downloads: 0 This Week
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