Showing 3911 open source projects for "source"

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  • 1
    IterTools.jl

    IterTools.jl

    Common functional iterator patterns

    Common functional iterator patterns.
    Downloads: 0 This Week
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  • 2
    Ubix Linux

    Ubix Linux

    The Pocket Datalab

    Ubix stands for Universal Business Intelligence Computing System. Ubix Linux is an open-source, Debian-based Linux distribution geared towards data acquisition, transformation, analysis and presentation. Ubix Linux purpose is to offer a tiny but versatile datalab. Ubix Linux is easily accessible, resource-efficient and completely portable on a simple USB key. Ubix Linux is a perfect toolset for learning data analysis and artificial intelligence basics on small to medium datasets. ...
    Downloads: 4 This Week
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  • 3
    re_data

    re_data

    re_data - fix data issues before your users & CEO would discover them

    re_data is an open-source data reliability framework for the modern data stack. Currently, re_data focuses on observing the dbt project (together with underlying data warehouse - Postgres, BigQuery, Snowflake, Redshift). Gather all relevant outputs about your data in one place using our cloud. Invite your team and debug it easily from there. Go back in time, and see your past metadata.
    Downloads: 0 This Week
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  • 4
    dbt-re-data

    dbt-re-data

    re_data - fix data issues before your users & CEO would discover them

    re_data is an open-source data reliability framework for the modern data stack. Currently, re_data focuses on observing the dbt project (together with underlaying data warehouse - Postgres, BigQuery, Snowflake, Redshift). Data transformations in re_data are implemented and exposed as models & macros in this dbt package. Gather all relevant outputs about your data in one place using our cloud.
    Downloads: 0 This Week
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  • 5
    Jupyter Notebook Viewer

    Jupyter Notebook Viewer

    A Jupyter notebook viewer for macOS

    A native macOS application to view Jupyter/IPython notebooks.
    Downloads: 1 This Week
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  • 6
    PyCall.jl

    PyCall.jl

    Package to call Python functions from the Julia language

    Package to call Python functions from the Julia language. This package provides the ability to directly call and fully interoperate with Python from the Julia language. You can import arbitrary Python modules from Julia, call Python functions (with automatic conversion of types between Julia and Python), define Python classes from Julia methods, and share large data structures between Julia and Python without copying them.
    Downloads: 0 This Week
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  • 7
    jluna

    jluna

    Julia Wrapper for C++ with Focus on Safety, Elegance, and Ease of Use

    Julia is a beautiful language, it is well-designed and well-documented. Julia's C-API is also well-designed, less beautiful, and much less... documented. jluna aims to fully wrap the official Julia C-API, replacing it in projects with C++ as the host language, by making accessing Julia's unique strengths through C++ safe, hassle-free, and just as beautiful. It allows for easy integration of Julia scripts and packages into projects with C++ as the host language, making language interaction...
    Downloads: 0 This Week
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  • 8
    Mara Pipelines

    Mara Pipelines

    A lightweight opinionated ETL framework, halfway between plain scripts

    This package contains a lightweight data transformation framework with a focus on transparency and complexity reduction. Data integration pipelines as code: pipelines, tasks and commands are created using declarative Python code. PostgreSQL as a data processing engine. Extensive web ui. The web browser as the main tool for inspecting, running and debugging pipelines. GNU make semantics. Nodes depend on the completion of upstream nodes. No data dependencies or data flows. No in-app data...
    Downloads: 0 This Week
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  • 9
    OpenSCAD Graph Editor

    OpenSCAD Graph Editor

    OpenSCAD Graph Editor

    OpenSCAD Graph Editor is a graphical user interface for OpenSCAD that allows you to create 3D models by connecting nodes in a graph. The editor will automatically generate OpenSCAD code for you. It integrates with the OpenSCAD program so you can preview your models in real-time while you are editing the graph. Please check the manual to find out how to install and use the program.
    Downloads: 2 This Week
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  • 10
    Bayesian Julia

    Bayesian Julia

    Bayesian Statistics using Julia and Turing

    Bayesian statistics is an approach to inferential statistics based on Bayes' theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used for making predictions about future events. Bayesian statistics is a departure from...
    Downloads: 0 This Week
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  • 11
    Algorithm Visualizer

    Algorithm Visualizer

    Interactive Online Platform that Visualizes Algorithms from Code

    Hacker Scripts is a light-hearted collection of small automation and demo scripts that solve amusing everyday tasks or illustrate quick integrations with external services. The repo collects short programs (originally a set of shell and Ruby scripts) and many community contributed ports in other languages to show “how you might automate X” — for example sending a quick SMS, firing off an email, or triggering a coffee maker — with examples and scheduling snippets included. The README explains...
    Downloads: 6 This Week
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  • 12
    PipeRider

    PipeRider

    Code review for data in dbt

    PipeRider automatically compares your data to highlight the difference in impacted downstream dbt models so you can merge your Pull Requests with confidence. PipeRider can profile your dbt models and obtain information such as basic data composition, quantiles, histograms, text length, top categories, and more. PipeRider can integrate with dbt metrics and present the time-series data of metrics in the report. PipeRider generates a static HTML report each time it runs, which can be viewed...
    Downloads: 0 This Week
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  • 13
    Rawgraphs app

    Rawgraphs app

    A web interface to create custom vector-based visualizations

    Inspired by and built on top of open-source projects. RAWGraphs is open to the community for contributions. Almost 30 visual models to visualize quantities, hierarchies, and time series and find insights in your data. Even though RAWGraphs is a web app, the data you insert will be processed only by your web browser. Save your project, or export it as a vector or raster image.
    Downloads: 6 This Week
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  • 14
    Mousetrap.jl

    Mousetrap.jl

    Finally, a GUI Engine made for Julia

    Mousetrap is a GUI library designed for Julia. It fully wraps GTK4 (which is written in C), vastly simplifying its interface to improve ease of use without sacrificing flexibility. It aims to give developers of all skill levels the tools to start creating complex GUI applications with little time and effort while taking full advantage of Julia's idiosyncrasies.
    Downloads: 0 This Week
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  • 15

    Faum

    Fast Autonomous Unsupervised Multidimiensional Classification

    This is the proof-of-concept implementation of the FAUM Clustering method. This implementation was used to perform the published results and is now released in the hope that it will be useful.
    Downloads: 0 This Week
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  • 16
    VirtualGL

    VirtualGL

    3D Without Boundaries

    VirtualGL redirects 3D commands from a Unix/Linux OpenGL application onto a server-side GPU and converts the rendered 3D images into a video stream with which remote clients can interact to view and control the 3D application in real time.
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    Downloads: 67,611 This Week
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  • 17
    TensorFlow.NET

    TensorFlow.NET

    .NET Standard bindings for Google's TensorFlow for developing models

    TensorFlow.NET (TF.NET) provides a .NET Standard binding for TensorFlow. It aims to implement the complete Tensorflow API in C# which allows .NET developers to develop, train and deploy Machine Learning models with the cross-platform .NET Standard framework. TensorFlow.NET has built-in Keras high-level interface and is released as an independent package TensorFlow.Keras. SciSharp STACK's mission is to bring popular data science technology into the .NET world and to provide .NET developers...
    Downloads: 1 This Week
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  • 18
    TurboVNC

    TurboVNC

    High-speed, 3D-friendly, TightVNC-compatible remote desktop software

    TurboVNC is a high-performance, enterprise-quality version of VNC based on TightVNC, TigerVNC, and X.org. It contains a variant of Tight encoding that is tuned for maximum performance and compression with 3D applications (VirtualGL), video, and other image-intensive workloads. TurboVNC, in combination with VirtualGL, provides a complete solution for remotely displaying 3D applications with interactive performance. TurboVNC's high-speed encoding methods have been adopted by TigerVNC and...
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    Downloads: 130,116 This Week
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  • 19
    Bootstrap.jl

    Bootstrap.jl

    Statistical bootstrapping library for Julia

    Bootstrapping is a widely applicable technique for statistical estimation.
    Downloads: 0 This Week
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  • 20
    EllipsisNotation.jl

    EllipsisNotation.jl

    Julia-based implementation of ellipsis array indexing notation

    Julia-based implementation of ellipsis array indexing notation. This implements the notation .. for indexing arrays. It's similar to Python, in that it means "all the columns before (or after)". Note: .. slurps dimensions greedily, meaning that the first occurrence of .. in an index expression creates as many slices as possible. Other instances of .. afterward are treated simply as slices. Usually, you should only use one instance of .. in an indexing expression to avoid possible confusion.
    Downloads: 0 This Week
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  • 21
    libCEED

    libCEED

    CEED Library: Code for Efficient Extensible Discretizations

    libCEED provides fast algebra for element-based discretizations, designed for performance portability, run-time flexibility, and clean embedding in higher-level libraries and applications. It offers a C99 interface as well as bindings for Fortran, Python, Julia, and Rust. While our focus is on high-order finite elements, the approach is mostly algebraic and thus applicable to other discretizations in factored form, as explained in the user manual and API implementation portion of the...
    Downloads: 0 This Week
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  • 22
    Mjograph is an XY (2D) graph editor that runs on Mac OSX and Java with the goal to provide researchers with a quick way to visualize numerical data and also create publication-quality plots.
    Downloads: 26 This Week
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  • 23
    ProximalOperators.jl

    ProximalOperators.jl

    Proximal operators for nonsmooth optimization in Julia

    Proximal operators for nonsmooth optimization in Julia. This package can be used to easily implement proximal algorithms for convex and nonconvex optimization problems such as ADMM, the alternating direction method of multipliers. With using ProximalOperators the package exports the prox and prox! methods to evaluate the proximal mapping of several functions.
    Downloads: 0 This Week
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  • 24
    odd-collector

    odd-collector

    Open-source metadata collector based on ODD Specification

    ODD Collector is a lightweight service that gathers metadata from all your data sources. Push-client is a provider which sends information directly to the central repository of the Platform. ODDRN (Open Data Discovery Resource Name) is a unique resource name that identifies entities such as data sources, data entities, dataset fields etc. It is used to build lineage and update metadata.
    Downloads: 0 This Week
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  • 25
    SageMaker Inference Toolkit

    SageMaker Inference Toolkit

    Serve machine learning models within a Docker container

    Serve machine learning models within a Docker container using Amazon SageMaker. Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. Once you have a trained model, you can include it in a Docker container that runs your inference code. A container provides an effectively isolated environment, ensuring a consistent runtime regardless of where the...
    Downloads: 0 This Week
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