Showing 680 open source projects for "compiler python linux"

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  • 1
    django-braces

    django-braces

    Reusable, generic mixins for Django

    django-braces provides useful Mixins for Django's class-based views. Most of these mixins replicate the behavior of Django's function-based view decorators. Others solve common headaches with working with class-based views. django-braces is stable and time-tested. It does not receive a lot of updates and is not in active development. django-braces also only officially supports Python versions that are still receiving fixes and Django LTS versions. django-braces will work with a most modern...
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  • 2
    Authlib

    Authlib

    The ultimate Python library in building OAuth, OpenID Connect

    The ultimate Python library in building OAuth and OpenID Connect servers. Various built-in high-level framework integrations for both clients and servers, aiming to create a seamless experience. Authlib offers generic implementations of RFCs. Supporting a wide range of social network service connections, powered by Loginpass. Authlib is built from low level of specifications to high level of framework integrations. Security matters in Authlib. We have a section on security process at the very...
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  • 3
    OnlineJudge 2.0

    OnlineJudge 2.0

    Open source online judge based on Vue, Django and Docker

    An open-source online judge system based on Python and Vue. Based on Docker; One-click deployment. Separated backend and frontend; Modular programming; Micro service. ACM/OI rule support; realtime/non-realtime rank support. Amazing charting and visualization. Template-problem support. More reasonable permission control. Multi-language support: C, C++, Java, Python2, Python3. Markdown & MathJax support. Contest participants IP limit(CIDR). You can control the menu and chart status in rankings.
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  • 4
    AWS SigV4 Library

    AWS SigV4 Library

    AWS library to sign AWS HTTP requests with Signature Version 4

    The AWS SigV4 Library is a standalone library for generating authorization headers and signatures according to the specifications of the Signature Version 4 signing process. Authorization headers are required for authentication when sending HTTP requests to AWS. This library can optionally be used by applications sending direct HTTP requests to AWS services requiring SigV4 authentication. This library has no dependencies on any additional libraries other than the standard C library. This...
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    The All-in-One Commerce Platform for Businesses - Shopify

    Shopify offers plans for anyone that wants to sell products online and build an ecommerce store, small to mid-sized businesses as well as enterprise

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  • 5
    AWS IoT Device Shadow library

    AWS IoT Device Shadow library

    Client library for using AWS IoT Shadow service on embedded devices

    The AWS IoT Device Shadow library enables you to store and retrieve the current state (the “shadow”) of every registered device. The device’s shadow is a persistent, virtual representation of your device that you can interact with from AWS IoT Core even if the device is offline. The device state is captured as its “shadow” within a JSON document. The device can send commands over MQTT to get, update and delete its latest state as well as receive notifications over MQTT about changes in its...
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  • 6
    AWS IoT Device Defender Library

    AWS IoT Device Defender Library

    Client library for using AWS IoT Defender service on embedded devices

    The Device Defender library enables you to send device metrics to the AWS IoT Device Defender Service. This library also supports custom metrics, a feature that helps you monitor operational health metrics that are unique to your fleet or use case. For example, you can define a new metric to monitor the memory usage or CPU usage on your devices. This library has no dependencies on any additional libraries other than the standard C library, and therefore, can be used with any MQTT client...
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  • 7
    Play Framework

    Play Framework

    A high velocity web framework

    Play Framework makes it easy to build web applications with Java & Scala. The Play Framework combines productivity and performance making it easy to build scalable web applications with Java and Scala. Play is developer friendly with a "just hit refresh" workflow and built-in testing support. With Play, applications scale predictably due to a stateless and non-blocking architecture. By being RESTful by default, including assets compilers, JSON & WebSocket support, Play is a perfect fit for...
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  • 8
    Relay

    Relay

    JavaScript framework for building data-driven React applications

    Relay is data-fetching turned declarative. Components declare their data dependencies, without worrying about how to fetch them. Relay guarantees that the data each component needs is fetched and available. This keeps components decoupled and promotes reuse. With Relay, components and their data dependencies can be quickly modified without modifying other parts of the system. That means you won't accidentally break other components as you refactor or make changes to your app. Relay's compiler...
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  • 9
    PydanticAI

    PydanticAI

    Agent Framework / shim to use Pydantic with LLMs

    When I first found FastAPI, I got it immediately. I was excited to find something so innovative and ergonomic built on Pydantic. Virtually every Agent Framework and LLM library in Python uses Pydantic, but when we began to use LLMs in Pydantic Logfire, I couldn't find anything that gave me the same feeling. PydanticAI is a Python Agent Framework designed to make it less painful to build production-grade applications with Generative AI. Built by the team behind Pydantic (the validation layer...
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  • 10
    Trame

    Trame

    Weave various components and technologies into a Web App

    Developed by Kitware, trame is a Python-based framework that allows developers to create web applications with desktop-like functionality. It enables the integration of various components and technologies, such as VTK and ParaView, into web applications written entirely in Python. With best-in-class platforms at its core, trame provides complete control of 3D visualizations and data processing. Developers benefit from a write-once environment from trame. trame is an open source project licensed...
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  • 11
    Kubernetes Operator Pythonic Framework

    Kubernetes Operator Pythonic Framework

    A Python framework to write Kubernetes operators in just a few lines

    Kopf —Kubernetes Operator Pythonic Framework— is a framework and a library to make Kubernetes operator's development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic). The project was originally started as zalando-incubator/kopf in March 2019...
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  • 12
    SageMaker Spark Container

    SageMaker Spark Container

    Docker image used to run data processing workloads

    Apache Spark™ is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. The SageMaker Spark Container is a Docker image used to run batch data...
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  • 13
    Connexion

    Connexion

    Swagger/OpenAPI First framework for Python on top of Flask

    Connexion is a framework on top of Flask that automagically handles HTTP requests defined using OpenAPI (formerly known as Swagger), supporting both v2.0 and v3.0 of the specification. Connexion allows you to write these specifications, then maps the endpoints to your Python functions. This is what makes it unique from other tools that generate the specification based on your Python code. You are free to describe your REST API with as much detail as you want and then Connexion guarantees...
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  • 14
    QPanda 2

    QPanda 2

    QPanda 2 is an open source quantum computing framework

    QPanda2 is an open source quantum computing framework developed by Origin Quantum, which can be used to build, run and optimize quantum algorithms. QPanda2 is the basic library of a series of software developed by Origin Quantum, which provides core components for QRunes, Qurator and quantum computing services.
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  • 15
    ConcurrentSim.jl

    ConcurrentSim.jl

    Discrete event process oriented simulation framework written in Julia

    A discrete event process-oriented simulation framework written in Julia inspired by the Python library SimPy. One of the longest-lived Julia packages (originally under the name SimJulia).
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  • 16
    Starlette

    Starlette

    The little ASGI framework that shines

    Starlette is a lightweight ASGI framework/toolkit, which is ideal for building async web services in Python. It is production-ready and gives you a lightweight, low-complexity HTTP web framework. WebSocket support. In-process background tasks. Startup and shutdown events. Test client built on httpx. CORS, GZip, Static Files, streaming responses. Session and Cookie support. 100% test coverage. 100% type annotated codebase. Few hard dependencies. Compatible with asyncio and trio backends.
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  • 17
    Optuna

    Optuna

    A hyperparameter optimization framework

    ... and tables. You don't need to create a Python script to call Optuna's visualization functions. Automated search for optimal hyperparameters using Python conditionals, loops, and syntax. Efficiently search large spaces and prune unpromising trials for faster results. Parallelize hyperparameter searches over multiple threads or processes without modifying code.
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  • 18
    Flask RESTX

    Flask RESTX

    Fully featured framework for fast, easy and documented API development

    Fork of Flask-RESTPlus fully featured framework for fast, easy and documented API development with Flask. Flask-RESTX is an extension for Flask that adds support for quickly building REST APIs. Flask-RESTX encourages best practices with minimal setup. If you are familiar with Flask, Flask-RESTX should be easy to pick up. It provides a coherent collection of decorators and tools to describe your API and expose its documentation properly using Swagger. With Flask-RESTX, you only import the api...
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  • 19
    Database-backed Periodic Tasks

    Database-backed Periodic Tasks

    Celery Periodic Tasks backed by the Django ORM

    This extension enables you to store the periodic task schedule in the database. The periodic tasks can be managed from the Django Admin interface, where you can create, edit and delete periodic tasks and how often they should run. Usage and installation instructions for this extension are available from the Celery documentation. If you change the Django TIME_ZONE setting your periodic task schedule will still be based on the old timezone. To create a periodic task executing at an interval...
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  • 20
    Ralph

    Ralph

    Ralph is the CMDB / Asset Management system for data center

    Ralph is built on top of Django and Python 3 and is easy to extend and customize without writing boilerplate code. REST API, Workflows code extensions allow for easy customization. We've chosen the best features of DCIM, Asset Mgmt and CMDB systems to create one, easy and well-integrated system. One interface is easier than 3. Keep track of assets purchases and their life cycle. Flexible flow system for assets life cycle. Data center and back office support. DC visualization built-in. Ralph...
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  • 21
    django-environ

    django-environ

    Django-environ allows you to utilize 12factor inspired environment

    The idea of this package is to unify a lot of packages that make the same stuff: Take a string from os.environ, parse and cast it to some of useful python typed variables. To do that and to use the 12factor approach, some connection strings are expressed as url, so this package can parse it and return a urllib.parse.ParseResult. These strings from os.environ are loaded from a .env file and filled in os.environ with setdefault method, to avoid overwriting the real environment. A similar approach...
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  • 22
    Django Ninja

    Django Ninja

    Fast, Async-ready, Openapi, type hints based framework

    Django Ninja is a web framework for building APIs with Django and Python 3.6+ type hints. Designed to be easy to use and intuitive. Very high performance thanks to Pydantic and async support. Type hints and automatic docs lets you focus only on business logic. Based on the open standards for APIs: OpenAPI (previously known as Swagger) and JSON Schema. Django friendly (obviously) has good integration with the Django core and ORM. Used by multiple companies on live projects.
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  • 23
    NoneBot

    NoneBot

    Asynchronous multi-platform robot framework written in Python

    Use NB-CLI to quickly build your own robot. Plug-in development, modular management. Supports multiple platforms and multiple incident response methods. Asynchronous priority development to improve operational efficiency. Simple and clear dependency injection system, built-in dependency functions reduce user code. NoneBot2 is a modern, cross-platform, and extensible Python chatbot framework. It is based on Python's type annotations and asynchronous features, and can provide convenient...
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  • 24
    Django Cachalot

    Django Cachalot

    No effort, no worry, maximum performance

    Caches your Django ORM queries and automatically invalidates them. Cachalot officially supports Python 3.7-3.10 and Django 2.2, 3.2, and 4.0-4.1 with the databases PostgreSQL, SQLite, and MySQL. Note: an upper limit on Django version is set for your safety. Please do not ignore it. To start developing, install the requirements and run the tests via tox. Currently, benchmarks are supported on Linux and Mac/Darwin. You will need a database called "cachalot" on MySQL and PostgreSQL. Additionally...
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  • 25
    Smallpond

    Smallpond

    A lightweight data processing framework built on DuckDB and 3FS

    smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express...
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