Showing 3558 open source projects for "python 2.4 linux"

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  • 1
    Docksal

    Docksal

    Docksal is a tool for defining and managing web development

    Running Docker on macOS and Windows is supported via VirtualBox as well as Docker for Mac / Docker for Windows. Docksal project stacks are pre-loaded with common development tools, which include Composer, PHP Code Sniffer, php-cli, node, npm, ruby, bundler, and python. For PHP, Drupal, and WordPress development, it comes with Drush, Drupal Console, and WP-CLI. There is built-in support for Apache Solr, Varnish, Memcache, Selenium, and Behat. Since services are containerized with...
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  • 2
    CAT

    CAT

    CAT is the basic component of the server project

    CAT is a distributed application performance monitoring and alerting system that specializes in tracking request flows, exceptions, and metrics across microservice ecosystems. It offers real-time dashboards showing throughput, response times, error rates, and service dependency graphs to help operations and development collaborate on reliability issues. In addition to metrics, it enables tracing—propagating context across RPC boundaries so problems like latency spikes or failed calls can be...
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  • 3
    omniORB2 and omniORBpy adaptations for IPSA
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  • 4
    SageMaker MXNet Inference Toolkit

    SageMaker MXNet Inference Toolkit

    Toolkit for allowing inference and serving with MXNet in SageMaker

    SageMaker MXNet Inference Toolkit is an open-source library for serving MXNet models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain MXNet model types and utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep...
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    µPipenv

    µPipenv

    A lightweight wrapper for pip to support requirements.txt

    A lightweight wrapper for pip to support requirements.txt, Pipenv and Poetry lock files or converting them to pip-tools compatible output. Designed for containerized Python applications but not limited to them. if requirements.txt state all the packages in a pinned version with hashes (e.g. pip-tools), micropipenv installs packages with a possible fallback if the installation order is relevant. micropipenv does not substitute Poetry it rather complements it for containerized deployments...
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  • 6
    Whisper Library

    Whisper Library

    Whisper is a file-based time-series database format for Graphite

    Whisper is one of three components within the Graphite project. Whisper is a fixed-size database, similar in design and purpose to RRD (round-robin-database). It provides fast, reliable storage of numeric data over time. Whisper allows for higher resolution (seconds per point) of recent data to degrade into lower resolutions for long-term retention of historical data. Copies data from src in dst, if missing. Unlike whisper-merge, don't overwrite data that's already present in the target...
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  • 7
    PC-BASIC - a GW-BASIC emulator

    PC-BASIC - a GW-BASIC emulator

    A free, cross-platform emulator for GW-BASIC, PCjr & Tandy BASIC

    PC-BASIC is a free, cross-platform interpreter for GW-BASIC, BASICA, PCjr Cartridge Basic and Tandy 1000 GWBASIC. -- This page is an archive and hosts the legacy version 1.2 of PC-BASIC only. -- For documentation and the latest releases, please see the official homepage: www.pc-basic.org Four source code, discussions and to report bugs please see the GitHub project page https://github.com/robhagemans/pcbasic
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    Downloads: 156 This Week
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  • 8
    m2cgen

    m2cgen

    Transform ML models into a native code

    m2cgen (Model 2 Code Generator) - is a lightweight library that provides an easy way to transpile trained statistical models into a native code (Python, C, Java, Go, JavaScript, Visual Basic, C#, PowerShell, R, PHP, Dart, Haskell, Ruby, F#, Rust, Elixir). Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies. Some models force input data to be particular type during prediction phase...
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  • 9
    Apache MXNet (incubating)

    Apache MXNet (incubating)

    A flexible and efficient library for deep learning

    Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable.
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  • 10
    React Rails

    React Rails

    Integrate React.js with Rails views and controllers

    React-Rails is a flexible tool to use React with Rails. If you use Jbuilder to pass a JSON string to react_component, make sure your JSON is a stringified hash, not an array. This is not the Rails default, you should add the root node yourself. React-Rails 2.4.x uses React 16+ which no longer has React Addons. Therefore the pre-bundled version of react no longer has an addons version, if you need addons still, there is the 2.3.1+ version of the gem that still has addons. React-Rails supports...
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  • 11
    OpenPrompt

    OpenPrompt

    An Open-Source Framework for Prompt-Learning

    Prompt-learning is the latest paradigm to adapt pre-trained language models (PLMs) to downstream NLP tasks, which modifies the input text with a textual template and directly uses PLMs to conduct pre-trained tasks. OpenPrompt is a library built upon PyTorch and provides a standard, flexible and extensible framework to deploy the prompt-learning pipeline. OpenPrompt supports loading PLMs directly from huggingface transformers. In the future, we will also support PLMs implemented by other...
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  • 12
    Django REST Framework User

    Django REST Framework User

    This Django User Model is customised user model

    This Django User Model is a customized user model keeping in mind the practical need. JWT Support (Using Simple JWT) Mobile Number, single field for full name, REST API to register, REST API to login, MultiModelBackend: User can login using either of mobile, email or username. REST API to login with OTP (Same API endpoint as for OTP Verification; Set is_login: true while sending JSON request). OTP Verification for mobile and email, API to register / login with OTP (no pre-registration...
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  • 13
    CoffeeScript

    CoffeeScript

    Unfancy JavaScript

    CoffeeScript is a lightweight programming language that compiles into JavaScript. It adds syntactic sugar inspired by Ruby, Python, and Haskell to improve brevity and readability, while producing predictable and efficient JavaScript output. Its design emphasizes that “It’s just JavaScript,” meaning any JS library works seamlessly, and compiled output is clean and performant. Adds syntactic sugar like list comprehensions and destructuring assignment. Supports literate programming via...
    Downloads: 1 This Week
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  • 14
    V2RayCloudSpider

    V2RayCloudSpider

    V2RayCloudSpider

    V2RSS is an "ecological mining machine" that can perform vertical mining on global providers based on the SSPanel-Uim framework; it can generate bottom-up "aggregation collection" tasks for mainstream protocol headers; it can self-digest and Compared with proxypool , the output is purer and more reliable proxy nodes; it has powerful production features such as self-discovery and service self-healing.
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  • 15
    ImaGC

    ImaGC

    image editor

    an easy way to personalize images.
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  • 16
    Jupyter Dash

    Jupyter Dash

    Dash v2.11+ has Jupyter support built in

    Dash 2.11 and later supports running Dash apps in classic Jupyter Notebooks and in JupyterLab without the need to update the code or use the additional JupyterDash library. If you are using an earlier version of Dash, you can run Dash apps in a notebook using JupyterDash. This page documents additional options available when running Dash apps in notebooks as well as troubleshooting information.
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  • 17
    Binarytree

    Binarytree

    Python library for studying Binary Trees

    Binarytree is Python library that lets you generate, visualize, inspect and manipulate binary trees. Skip the tedious work of setting up test data, and dive straight into practicing algorithms. Heaps and BSTs (binary search trees) are also supported. Binarytree supports another representation which is more compact but without the indexing properties. Traverse trees using different algorithms.
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  • 18
    cmake-conan

    cmake-conan

    CMake wrapper for conan C and C++ package manager

    cmake-conan is a CMake wrapper for the Conan C and C++ package manager, designed to streamline the integration of Conan into CMake-based projects. It automates the process of installing and managing dependencies, allowing developers to define their requirements in Conan and have them seamlessly integrated into their CMake build process. This tool simplifies dependency management and enhances reproducibility in C++ projects.
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  • 19
    AugLy

    AugLy

    A data augmentations library for audio, image, text, and video

    AugLy is a data augmentations library that currently supports four modalities (audio, image, text & video) and over 100 augmentations. Each modality’s augmentations are contained within its own sub-library. These sub-libraries include both function-based and class-based transforms, composition operators, and have the option to provide metadata about the transform applied, including its intensity. AugLy is a great library to utilize for augmenting your data in model training, or to evaluate...
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  • 20
    The Pythonizer

    The Pythonizer

    Converts a Java program to the equivalent Python program

    An automatic source-code converter (transcompiler) that converts a valid Java program to the equivalent Python program. Uses Python naming conventions and indentation convention.
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  • 21
    Awesome Conformal Prediction

    Awesome Conformal Prediction

    A professionally curated list of awesome Conformal Prediction videos

    awesome-conformal-prediction is a curated “awesome list” repository on GitHub collecting high-quality resources related to conformal prediction: tutorials, books, papers, theses, open-source libraries, videos, and other educational material. It is not a software library itself but a directory of resources for those wanting to learn or work with conformal prediction and uncertainty quantification. This exceptional resource is the culmination of my PhD journey in Machine Learning, specializing...
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  • 22
    Webifier

    Webifier

    A GitHub Action to deploy Notebooks, Markdowns

    Webifier is a stand-alone build tool for converting any repository into a deployable jekyll website. You can define your pages via yaml files and provide notebooks, markdown and pdf and other files for Webifier to render. It uses python markdown providing additional control over attributes and other extensive functionalities. It lets you define and direct how your web pages feel and automatically manages your assets, making it a perfect solution for fast static website development and a...
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  • 23
    Webware for Python

    Webware for Python

    The Classic Webware for Python

    Webware for Python is a suite of components for dynamic, server-side web development.
    Downloads: 1 This Week
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  • 24
    Status

    Status

    Minimal docker container status panel

    A minimal docker container management panel written in Python / Flask. Before installing this project, please, make sure you have installed docker and docker-compose.
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  • 25
    Kalliope

    Kalliope

    Kalliope is a framework to create your own personal assistant

    Kalliope is a modular always-on voice-controlled personal assistant designed for home automation. Kalliope is a framework that will help you to create your own personal assistant. The concept is to create the brain of your assistant by attaching an input signal (vocal order, scheduled event, MQTT message, GPIO event, etc..) to one or multiple actions called neurons. You can create your own Kalliope bot, by simply choosing and composing the existing neurons without writing any code. But, if...
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