Open Source Python Frameworks - Page 16

A GWT-like python wrapper for Yahoo's YUI libraries. Write python code, make YUI objects.

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 of the OpenAI SDK, the Anthropic SDK, LangChain, LlamaIndex, AutoGPT, Transformers, CrewAI, Instructor, and many more).

This project is a complete cross-platform (Windows, Linux) framework for Evolutionary Computation in pure python. See the project site at http://pyevolve.sourceforge.net or the blog at http://pyevolve.sourceforge.net/wordpress

This is an implementation of the Model-View-Controller (MVC) and the Observer patterns for the PyGTK2 graphic toolkit. See the project Homepage for further information.

Pyjamas-Desktop is the Desktop version of the Pyjamas Web Widget toolkit. Pyjamas-Desktop can even execute javascript, and embed plugins such as Flash. Pyjamas-Desktop is now part of http://pyjs.org

Pylets - a high-performance aspect-oriented Python web framework tightly bound to mod_python and Apache.

Pynta is flexible web framework written in Python. All development going on https://github.com/lig/pynta

O Pytente é uma solução avançada para automatizar o processo de coleta, armazenamento e tratamento de dados bibliográficos de patentes. A ferramenta foi projetada para simplificar a coleta de grandes volumes de dados em repositórios de acesso aberto. O Pytente garante o armazenamento estruturado das informações, além da validação e eliminação de registros duplicados. Dentre as diversas funcionalidades disponibilizadas pela ferramenta, destacam-se a extração personalizada de subconjuntos de dados e a possibilidade de realizar buscas semânticas no conjunto de dados armazenados, sem a necessidade de elaborar expressões lógicas de busca.

Note: latest version can be found at https://github.com/targeted/pythomnic3k Pythomnic3k is a Python 3 framework for service-oriented middleware with hot reloading and fault tolerance. It is used for integrating various systems in enterprise network or writing standalone network services.

Python Automation Suite - a collection of Python programs/modules that forms an integrated Software Test Automation

makes writing python bots easy, and transport independant, allowing the same bot code to run on multiple protocols.

A content generation engine written in Python used for generating content for HTML and textual output. Integrates with Apache to form a web framework that uses XML templates and can embed Python.

Python MyCMS is an application development platform built with robust MySQL integration allowing for easy creation of state and event driven web-based interfaces. Now also featuring a phpMyAdmin-style web interface to MySQL for administration.

PyOD is a comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. This exciting yet challenging field is commonly referred as outlier detection or anomaly detection. PyOD includes more than 30 detection algorithms, from classical LOF (SIGMOD 2000) to the latest COPOD (ICDM 2020) and SUOD (MLSys 2021). Since 2017, PyOD [AZNL19] has been successfully used in numerous academic researches and commercial products [AZHC+21, AZNHL19]. PyOD has multiple neural network-based models, e.g., AutoEncoders, which are implemented in both PyTorch and Tensorflow. PyOD contains multiple models that also exist in scikit-learn. It is possible to train and predict with a large number of detection models in PyOD by leveraging SUOD framework. A benchmark is supplied for select algorithms to provide an overview of the implemented models. In total, 17 benchmark datasets are used for comparison, which can be downloaded at ODDS.

Poloniex API wrapper for Python 2.7 & 3.

Static analysis of Python web applications based on theoretical foundations (Control flow graphs, fixed point, dataflow analysis) Detect command injection, SSRF, SQL injection, XSS, directory traveral etc. A lot of customization is possible. For functions from builtins or libraries, e.g. url_for or os.path.join, use the -m option to specify whether or not they return tainted values given tainted inputs, by default this file is used.

Python test runner, initial plan is a main process dispatching test to sub process.

This project aims to collect some development tools for Python under windows32 environment. PyGTk and Glade related GUI design tools are my primary concerns.

Python MVC web framework using mod_python with Cheetah template engine

The idea of this framework is to allow the code to tolerate faults by adding redundancy (either by repetition or by different variants of code) and replacing original methods or functions by syntactically identical callable fault-tolerant constructs.

Python PS3 support library, primarily designed to support game development under Linux. At its core, there is an optimised SPU alpha-blended blit for fast 2D rendering, and also offers full support for multiple game controllers and sound playback.

The PyJTF supports the test-driven development of Javascript code using tests written in Python. It executes the code under test in the IE environment under Windows (Win32). Allows greater productivity in testing Javascript code.

NOTE: PythonQt has been moved to https://github.com/MeVisLab/pythonqt PythonQt is a dynamic and lightweight script binding of the Qt framework to the Python language. It can be easily embedded into Qt applications and makes any QObject derived object scriptable via Python without the need of wrapper code generation.

Torch Points 3D is a framework for developing and testing common deep learning models to solve tasks related to unstructured 3D spatial data i.e. Point Clouds. The framework currently integrates some of the best-published architectures and it integrates the most common public datasets for ease of reproducibility. It heavily relies on Pytorch Geometric and Facebook Hydra library thanks for the great work! We aim to build a tool that can be used for benchmarking SOTA models, while also allowing practitioners to efficiently pursue research into point cloud analysis, with the end goal of building models which can be applied to real-life applications. Task driven implementation with dynamic model and dataset resolution from arguments. Core implementation of common components for point cloud deep learning - greatly simplifying the creation of new models. 4 Base Convolution base classes to simplify the implementation of new convolutions. Each base class supports a different data format.