Showing 1194 open source projects for "code source ping"

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  • 1
    Reduce.jl

    Reduce.jl

    Symbolic parser for Julia language term rewriting using REDUCE algebra

    ...It can be used interactively for simple calculations (as illustrated in the screenshot below) but also provides a full programming language, with a syntax similar to other modern programming languages. REDUCE supports alternative user interfaces including Run-REDUCE, TeXmacs and GNU Emacs. REDUCE (and its complete source code) is available free of charge for most common computing systems, in some cases in more than one version for the same machine. The manual and other support documents and tutorials are also included in the distributions.
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  • 2
    stylex-jsx

    stylex-jsx

    Full CSS support for JSX without compromises

    Full, scoped and component-friendly CSS support for JSX (rendered on the server or the client). Code and docs are for v3 which we highly recommend you to try. Looking for styled-jsx v2? Switch to the v2 branch. Blazing fast and optimized CSS rules injection system based on the CSSOM APIs. Full CSS support, no tradeoffs in power. Runtime size of just 3kb (gzipped, from 12kb). Complete isolation: Selectors, animations, keyframes. Built-in CSS vendor prefixing.
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  • 3
    Data Formulator

    Data Formulator

    Create rich visualizations with AI

    To create rich visualizations, data analysts often need to iterate back and forth among data processing and chart specification to achieve their goals. To achieve this, analysts need not only proficiency in data transformation and visualization tools but also efforts to manage the branching history consisting of many different versions of data and charts. Recent LLM-powered AI systems have greatly improved visualization authoring experiences, for example by mitigating manual data...
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  • 4
    LossFunctions.jl

    LossFunctions.jl

    Julia package of loss functions for machine learning

    This package represents a community effort to centralize the definition and implementation of loss functions in Julia. As such, it is a part of the JuliaML ecosystem. The sole purpose of this package is to provide an efficient and extensible implementation of various loss functions used throughout Machine Learning (ML). It is thus intended to serve as a special purpose back-end for other ML libraries that require losses to accomplish their tasks. To that end we provide a considerable amount...
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  • 5
    CUDA.jl

    CUDA.jl

    CUDA programming in Julia

    High-performance GPU programming in a high-level language. JuliaGPU is a GitHub organization created to unify the many packages for programming GPUs in Julia. With its high-level syntax and flexible compiler, Julia is well-positioned to productively program hardware accelerators like GPUs without sacrificing performance. The latest development version of CUDA.jl requires Julia 1.8 or higher. If you are using an older version of Julia, you need to use a previous version of CUDA.jl. This will...
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  • 6
    patat

    patat

    Terminal-based presentations using Pandoc

    patat (Presentations Atop The ANSI Terminal) is a small tool that allows you to show presentations using only an ANSI terminal. It does not require ncurses. Leverages the great Pandoc library to support many input formats including Literate Haskell. Supports smart slide splitting. Slides can be split up into multiple fragments. There is a live reload mode. Theming support including 24-bit RGB. Auto advancing with configurable delay. Optionally re-wrapping text to terminal width with proper...
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  • 7
    alpha_vantage

    alpha_vantage

    A python wrapper for Alpha Vantage API for financial data.

    Alpha Vantage delivers a free API for real time financial data and most used finance indicators in a simple json or pandas format. This module implements a python interface to the free API provided by Alpha Vantage. You can have a look at all the API calls available in their API documentation. For code-less access to the APIs, you may also consider the official Google Sheet Add-on or the Microsoft Excel Add-on by Alpha Vantage. To get data from the API, simply import the library and call the...
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  • 8
    TensorBoardX

    TensorBoardX

    tensorboard for pytorch (and chainer, mxnet, numpy, etc.)

    The SummaryWriter class provides a high-level API to create an event file in a given directory and add summaries and events to it. The class updates the file contents asynchronously. This allows a training program to call methods to add data to the file directly from the training loop, without slowing down training. TensorboardX now supports logging directly to Comet. Comet is a free cloud based solution that allows you to automatically track, compare and explain your experiments. It adds a...
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  • 9
    ElasticJob

    ElasticJob

    Distributed scheduled job framework

    ElasticJob is a distributed scheduling solution consisting of two separate projects, ElasticJob-Lite and ElasticJob-Cloud. ElasticJob-Lite is a lightweight, decentralized solution that provides distributed task sharding services. ElasticJob-Cloud uses Mesos to manage and isolate resources. It uses a unified job API for each project. Developers only need code one time and can deploy at will. Support job sharding and high availability in distributed system. Scale out for throughput and...
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  • 10
    Polaris React

    Polaris React

    Shopify’s admin product component library

    Our design system helps us work together to build a great experience for all of Shopify’s merchants. Downloads, links, and third-party tools to help you and your teams learn, draft, design, and build products for Shopify. Use the API to build Figma plugins, text editor extensions, or even a completely new site. While we do offer a CSS-only version, we strongly recommend using the React versions of our components. It’s the version that we use at Shopify. It allows for rich, complex components...
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  • 11
    cuDF

    cuDF

    GPU DataFrame Library

    Built based on the Apache Arrow columnar memory format, cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data. cuDF provides a pandas-like API that will be familiar to data engineers & data scientists, so they can use it to easily accelerate their workflows without going into the details of CUDA programming. For additional examples, browse our complete API documentation, or check out our more detailed notebooks. cuDF can be installed...
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  • 12
    Sylius

    Sylius

    Open source eCommerce platform on Symfony

    Sylius provides modern software and development practices that encode a customer-centric approach and agility in your team's processes and technology stack. This holistic strategy unleashes your full potential and makes sure that your business adapts to the ever-changing demands of local and global commerce markets. Sylius is an Open Source Headless eCommerce Platform for mid-market and enterprise brands that need custom solutions. With a modern approach to the professional development of...
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  • 13
    AWS SDK for pandas

    AWS SDK for pandas

    Easy integration with Athena, Glue, Redshift, Timestream, Neptune

    aws-sdk-pandas (formerly AWS Data Wrangler) bridges pandas with the AWS analytics stack so DataFrames flow seamlessly to and from cloud services. With a few lines of code, you can read from and write to Amazon S3 in Parquet/CSV/JSON/ORC, register tables in the AWS Glue Data Catalog, and query with Amazon Athena directly into pandas. The library abstracts efficient patterns like partitioning, compression, and vectorized I/O so you get performant data lake operations without hand-rolling...
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  • 14
    Whenever

    Whenever

    Cron jobs in Ruby

    Whenever (javan/whenever) is a Ruby gem that provides a clean, Ruby DSL for defining and managing cron jobs within your application. Rather than editing system cron tables by hand, you describe scheduled tasks in a schedule.rb file using methods like every, runner, command, or rake. The gem then compiles this schedule into a standard crontab format and installs it for you, handling all the necessary quoting, environment setup, and command path resolution. It supports specifying execution...
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  • 15
    NeuralProphet

    NeuralProphet

    A simple forecasting package

    NeuralProphet bridges the gap between traditional time-series models and deep learning methods. It's based on PyTorch and can be installed using pip. A Neural Network based Time-Series model, inspired by Facebook Prophet and AR-Net, built on PyTorch. You can find the datasets used in the tutorials, including data preprocessing examples, in our neuralprophet-data repository. The documentation page may not we entirely up to date. Docstrings should be reliable, please refer to those when in...
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  • 16
    AutoGluon

    AutoGluon

    AutoGluon: AutoML for Image, Text, and Tabular Data

    AutoGluon enables easy-to-use and easy-to-extend AutoML with a focus on automated stack ensembling, deep learning, and real-world applications spanning image, text, and tabular data. Intended for both ML beginners and experts, AutoGluon enables you to quickly prototype deep learning and classical ML solutions for your raw data with a few lines of code. Automatically utilize state-of-the-art techniques (where appropriate) without expert knowledge. Leverage automatic hyperparameter tuning,...
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  • 17
    SPX

    SPX

    A simple & straight-to-the-point PHP profiling extension

    SPX, which stands for Simple Profiling eXtension, is just another profiling extension for PHP. It differentiates itself from other similar extensions as being totally free and confined to your infrastructure (i.e. no data leaks to a SaaS). Very simple to use: just set an environment variable (command line) or switch on a radio button (web request) to profile your script. Thus, you are free of manually instrumenting your code (Ctrl-C a long running command line script is even supported)....
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  • 18
    SageMaker Training Toolkit

    SageMaker Training Toolkit

    Train machine learning models within Docker containers

    Train 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. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and...
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  • 19
    GitHub Pages Deploy Action

    GitHub Pages Deploy Action

    Automatically deploy your project to GitHub Pages using GitHub Actions

    Automatically deploy your project to GitHub Pages using GitHub Actions. This action can be configured to push your production-ready code into any branch you'd like. You can include the action in your workflow to trigger any event that GitHub actions supports. If the remote branch that you wish to deploy to doesn't already exist the action will create it for you. Your workflow will also need to include the actions/checkout step before this workflow runs in order for the deployment to work. If...
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  • 20
    Optional Fund Assistant

    Optional Fund Assistant

    Quickly obtain real-time data of the funds of interest

    Self-selected fund assistants can view the funds you are concerned about in real-time and help you quickly obtain real-time data. It can be used to view the real-time valuation of your self-selected funds, and you can freely increase or decrease the self-selected funds. Your self-selected fund data will be synchronized with your account. After buying the fund, I have been looking for a chrome extension for PC. After all, the trading hours of stocks are carried out on working days....
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  • 21
    Infracost

    Infracost

    Cloud cost estimates for Terraform in pull requests

    Infracost scans for Terraform code changes and checks over 3 million prices to create a simple, understandable cost estimate before any resources are launched. Infracost integrates into CI/CD so everyone knows the cost impact of changes without leaving the workflow. Infracost integrates with Open Policy Agent, Sentinel, and Conftest, enabling DevOps teams to set best practices as policies. Infracost automatically creates detailed, shareable cost estimates which can be sent to clients and...
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  • 22
    Chokidar

    Chokidar

    Minimal and efficient cross-platform file watching library

    Chokidar is a solution for all the users of Node.js fs.watch who are tired of it not reporting filenames on MacOS and events at all when using editors like Sublime on MacOS. Node.js fs.watch often reports events twice, emits most changes as rename, and it does not provide an easy way to recursively watch file trees nor supports recursive watching on Linux. Same as with Node.js fs.watchFile. Therefore, Chokidar resolves these problems. Initially made for Brunch (an ultra-swift web app build...
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  • 23
    Recommenders

    Recommenders

    Best practices on recommendation systems

    The Recommenders repository provides examples and best practices for building recommendation systems, provided as Jupyter notebooks. The module reco_utils contains functions to simplify common tasks used when developing and evaluating recommender systems. Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several...
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  • 24
    Nano ID

    Nano ID

    A secure, URL-friendly, unique string ID generator for JavaScript

    Nano ID is a library for generating random IDs. Likewise UUID, there is a probability of duplicate IDs. However, this probability is extremely small. Meanwhile, a lot of projects generate IDs in small numbers. For those projects, the ID length could be reduced without risk. This calculator aims to help you realize the extent to which the ID length can be reduced. Instead of using the unsafe Math.random(), Nano ID uses the crypto module in Node.js and the Web Crypto API in browsers. These...
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  • 25
    Sharetribe

    Sharetribe

    Advanced marketplace software for every business life cycle stage

    ...Whether you're just starting out with your online marketplace idea, or taking the next big step in your booming marketplace business, Sharetribe has all the tools you need to get to where you need to be. Sharetribe Go is Sharetribe's source available marketplace software, available as a hosted, no-code SaaS product that comes with a complete feature set to get you started on your marketplace for rentals, services, events, or products. For those looking for a more customized build, there's Sharetribe Flex. Flex is an API-based, customizable and extendable marketplace solution that allows you to develop your marketplace using your preferred programming language, build a mobile app, integrate third party services and more. ...
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