Browse free open source Python Frameworks and projects below. Use the toggles on the left to filter open source Python Frameworks by OS, license, language, programming language, and project status.

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  • 1
    Hydra Framework

    Hydra Framework

    Framework for elegantly configuring complex applications

    Hydra lets you focus on the problem at hand instead of spending time on boilerplate code like command-line flags, loading configuration files, logging etc. With Hydra, you can compose your configuration dynamically, enabling you to easily get the perfect configuration for each run. You can override everything from the command line, which makes experimentation fast, and removes the need to maintain multiple similar configuration files. Hydra has a pluggable architecture, enabling it to integrate with your infrastructure. Future plugins will enable launching your code on AWS or other cloud providers directly from the command-line. Hydra is an open-source Python framework that simplifies the development of research and other complex applications. The key feature is the ability to dynamically create a hierarchical configuration by composition and override it through config files and the command line.
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  • 2
    IFP (ISPF for Python) is a console based full screen text user interface and API based on IBM's ISFP.
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  • 3

    IPS Framework

    A simple Python framework for loosely-coupled multiphysics simulations

    The IPS Framework has migrated to https://github.com/HPC-SimTools/IPS-framework The IPS framework was developed to support loosely-coupled integrated modeling of fusion plasmas (and was originally the Integrated Plasma Simulator). However, the design is quite general, and is suitable for many scientific and engineering domains. In addition to plasma physics, it is also being used in the engineering of batteries. One of the novel features of the IPS framework is its ability to support parallelism at multiple levels: components can launch individual parallel tasks, and also launch multiple tasks concurrently. The framework can execute multiple components concurrently, and even multiple simulations, all within the same pool of compute nodes.
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  • 4
    IVY

    IVY

    The Unified Machine Learning Framework

    Take any code that you'd like to include. For example, an existing TensorFlow model, and some useful functions from both PyTorch and NumPy libraries. Choose any framework for writing your higher-level pipeline, including data loading, distributed training, analytics, logging, visualization etc. Choose any backend framework which should be used under the hood, for running this entire pipeline. Choose the most appropriate device or combination of devices for your needs. DeepMind releases an awesome model on GitHub, written in JAX. We'll use PerceiverIO as an example. Implement the model in PyTorch yourself, spending time and energy ensuring every detail is correct. Otherwise, wait for a PyTorch version to appear on GitHub, among the many re-implementation attempts that appear (a, b, c, d, e, f). Instantly transpile the JAX model to PyTorch. This creates an identical PyTorch equivalent of the original model.
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  • 5
    iwftools is a set of tools and libraries for developers of digital imaging workflow applications. It consists of generic Python components for this purpose, as well as an reference application. It is implemented without any OS specific dependencies.
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  • 6
    InproTK

    InproTK

    An Incremental Spoken Dialogue Processing Toolkit

    InproTK is an Incremental Spoken Dialogue Processing Toolkit, that is, a toolkit to help you build dialogue systems that listen and talk incrementally, allowing for advanced interactional behaviour. Please see our Wiki for more information: http://sourceforge.net/p/inprotk/wiki/
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  • 7
    Instigate GUI Toolkit
    Instigate GUI Toolkit is an Abstraction for multiple GUI Toolkits allowing to write single GUI code which can run on multiple platforms and with multiple GUI back-ends. Now it supports QT and gtkmm back-ends on Linux. Work on GTK+ and EWL is ongoing.
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  • 8
    A web development framework; includes an application server which provides a persistent object cache and transaction support, an intelligent HTML parser, multi-threaded scripting, multiple scripting language support within a single OO framework.
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  • 9
    Intel neon

    Intel neon

    Intel® Nervana™ reference deep learning framework

    neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu backend is selected by default, so the above command is equivalent to if a compatible GPU resource is found on the system. The Intel Math Kernel Library takes advantages of the parallelization and vectorization capabilities of Intel Xeon and Xeon Phi systems. When hyperthreading is enabled on the system, we recommend the following KMP_AFFINITY setting to make sure parallel threads are 1:1 mapped to the available physical cores.
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  • 10
    InterPython (stands Python InterOperability) is a .NET library that allows a python interpreter to be "embedded" in your .NET programs, and gives you (almost) transparent access to python libraries and services in .NET programs. Great for GUIs, etc.
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  • 11
    Intronet is a light weighted framework which allows user to work with remote Linux system and to do some administration tasks using web browser. It's fully usable in browsers at mobile devices such pda, modern cell phones, etc.
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  • 12
    IrcPy is a communication framework based on the syntax of the IRC protocol.
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  • 13
    JARVIS on Messenger

    JARVIS on Messenger

    Community-driven python bot that aims to be as simple as possible

    A community-driven python bot that aims to be as simple as possible to serve humans with their everyday tasks. Messenger is now used by 1.2 billion people every month. With the launch of Send/Receive API, bots are about to take over. It should have a lot of useful features (both fun and commonly used). Anyone can contribute to this project. (As this is module-based, anybody with a decent knowledge of Python can contribute.) One of the prime goals of this project is to lower the entry barrier into the world of open source.
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  • 14
    A high level Python Web framework. The project is under active development and is not ready for production use.
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  • 15

    Joe SDK

    Web. Desktop. Best of both worlds.

    Joe SDK is an easy to learn and adapt python software development kit for excellent GUI desktop applications. You can create a desktop application using python, html, css, javascript or jquery in minutes! The SDK allows you to: - Run python code, on any javascript event. - Render result of python function dynamically - Create HTML User Interfaces, using standard HTML. The SDK is powered by: - Google Chrome apps - Python anywhere - Cherrypy Web Framework Though it is a desktop application sdk, it is purely web hosted locally. This makes it extremely easy to deploy these applications to web.
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  • 16
    JyConsole is an advanced Java graphic console for Jython. JyConsole provides an object-oriented completion on Java and Python objects and allows the direct manipulation of objects. JyConsole includes command history, script loading and GUI preference.
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  • 17
    Python web development framework with a focus on efficiency/speed and extensibility, with a large library of functions to aid in the development of modern web applications.
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  • 18
    Kopf

    Kopf

    A Python framework to write Kubernetes operators

    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).
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  • 19
    Python port of Platform LSF API using swig. Access is provided directly to the API call in addition to server Object classes.
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  • 20
    LangChain Apps on Production with Jina

    LangChain Apps on Production with Jina

    Langchain Apps on Production with Jina & FastAPI

    Jina is an open-source framework for building scalable multi-modal AI apps on Production. LangChain is another open-source framework for building applications powered by LLMs. long-chain-serve helps you deploy your LangChain apps on Jina AI Cloud in a matter of seconds. You can benefit from the scalability and serverless architecture of the cloud without sacrificing the ease and convenience of local development. And if you prefer, you can also deploy your LangChain apps on your own infrastructure to ensure data privacy. With long chain-serve, you can craft REST/WebSocket APIs, spin up LLM-powered conversational Slack bots, or wrap your LangChain apps into FastAPI packages on the cloud or on-premises.
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  • 21
    Leilany is a framework to build GUI applications with Python and GTK, using de MVC pattern design. Interested in build the gadgets for invoicing and the necessary requirements. The main goal is make applications with low memory.
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  • 22
    Lino is a suite of Python packages for IT professionals who offer business applications for small and medium-sized enterprises.
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  • 23
    Lioness (Languages Interop Framework)
    Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.
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  • 24
    The LisBON Framework is an adaptable framework for developing new parallel Memetic Algorithms (hybrid search algorithms for efficiently solving optimisation problems).
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  • 25
    Lusca is a test-framework for testing network applications under unix-like operating systems. Provides remote equipment control, automated script execution, event logging and more.
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