Open Source Python Frameworks - Page 9

BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.

BabyAGI is an experimental prototype framework for building self-building autonomous agents. The project became known for exploring how AI agents can manage functions, dependencies, executions, and configurations as part of a more autonomous workflow. Its newer dashboard-oriented structure provides tools for registering, updating, and managing functions through a user-friendly interface. It also supports dependency visualization so users can understand how functions relate to each other. Secret management and execution monitoring make it more practical for agent experimentation than a simple script alone. It is best understood as a research and prototyping framework for people exploring autonomous agents, tool use, and self-improving AI systems.

Backtrack Sampler is a framework designed for experimenting with custom sampling strategies for language models (LLMs), enabling the ability to rewind and revise generated tokens. It allows developers to create and test their own token generation strategies by providing a base structure for manipulating logits and probabilities, making it a flexible tool for those interested in fine-tuning the behavior of LLMs.

Belay Device has moved! https://github.com/BelayTechnologies/Belay-Device

BentoML simplifies ML model deployment and serves your models at a production scale. Support multiple ML frameworks natively: Tensorflow, PyTorch, XGBoost, Scikit-Learn and many more! Define custom serving pipeline with pre-processing, post-processing and ensemble models. Standard .bento format for packaging code, models and dependencies for easy versioning and deployment. Integrate with any training pipeline or ML experimentation platform. Parallelize compute-intense model inference workloads to scale separately from the serving logic. Adaptive batching dynamically groups inference requests for optimal performance. Orchestrate distributed inference graph with multiple models via Yatai on Kubernetes. Easily configure CUDA dependencies for running inference with GPU. Automatically generate docker images for production deployment.

Biz is a WSGI-compatible web application framework written in Python. It aims to be a platform for easily developing secure and internationalized web applications.

Black Wings is a framework built over SDL to make the game/graphical application development easier, by adding a scene system, an event manager, a template manager and a widget system ready to play with, along with many smaller controls.

BlockIt provides a Python framework to scan and parse a program file into constituent nested blocks, however defined, forming a block tree of your code and can be used as a mechanism to "extend" in some sense, the underlying programming language.

This project is intended to serve as a framework for developing plugin system with internal hierarchical storage of objects coming from plugins. Plugins contains objects and commands. All functionality of kernel and plugins are to be exported to Python.

This Project intends to provide the Bluetooth file transfer function for the iphone, a basic function that Apple missed out. DEVELOPERS PLEASE VISIT THE FORUM PAGE. I will update "HERE WE GO" in the coming days with information and the project status

Boom is a game engine for easily and quickly creating Bomberman-like games.

This repository contains code for the Python version of the Microsoft Bot Framework SDK, which is part of the Microsoft Bot Framework - a comprehensive framework for building enterprise-grade conversational AI experiences. This SDK enables developers to model conversation and build sophisticated bot applications using Python. SDKs for JavaScript and .NET are also available. The Microsoft Bot Framework provides what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services.

Bottle is a minimalist web framework for building small web applications and APIs in Python. It is distributed as a single file with no external dependencies, making it perfect for rapid development, prototyping, or embedded use. Despite its small size, Bottle supports routing, templates, request handling, and plugin support, offering a full-featured toolkit in an extremely compact package.

Bowtie is a library for writing dashboards in Python. No need to know web frameworks or JavaScript, focus on building functionality in Python. Interactively explore your data in new ways! Deploy and share with others! Bowtie uses Yarn to manage node packages. If you installed Bowtie through conda, Yarn was also installed as a dependency. Yarn can be installed through conda. An early integration with Jupyter has been prototyped. I encourage you to try it out and share feedback. I hope this will make it easier to make Bowtie apps. Bowtie helps you visualize your data interactively. No Javascript required, you build your dashboard in pure Python. Easy to deploy so you can share results with others. Ships with many useful widgets including charts, tables, dropdown menus, sliders, and markdown. All widgets come equipped with events and commands for interaction. Compiles a single Javascript bundle speeding up load times and removes CDN dependencies.

Brighton Server is a framework that help the server implementation based on python and console interface with feature like a screen control, logging control for the moment.

An intuitive and easily expandable platform for recognizing multiple users based on their individual Bluetooth devices; allowing a systems to act upon the presence or absence of individuals and groups.

Contains a framework for Coldfire MCUs like 52254. The framework supports a Command Line Interface (CLI) that may work from Serial port, USB or ENET. The framework uses Processor Expert and IDE requirement is MCU Eclipse 10.4 from Freescale. Includes the FunkOS Realtime Operating System by Funkenstein Software Consulting, available at http://funkos.sourceforge.net Mainly it is a support package for the development board Perseus, but I have ported also the RTOS to MCF52233DEMO board. More to come....

Provides a voice interface for applications via a plug in system. Allows the inclusion of voice recognition in an application with a minimum of effort.

Chapman is a modern, model-view-controller based gui component framework developed in python, inspired by Smalltalk's VisualWorks framework.

Checkov scans cloud infrastructure configurations to find misconfigurations before they're deployed. Checkov uses a common command-line interface to manage and analyze infrastructure as code (IaC) scan results across platforms such as Terraform, CloudFormation, Kubernetes, Helm, ARM Templates and Serverless framework. Verify changes to hundreds of supported resource types in all major cloud providers. Checkov supports developers using Terraform, Terraform plan, CloudFormation, Kubernetes, ARM Templates, Serverless, Helm, and AWS CDK. Scan cloud resources in build-time for misconfigured attributes with a simple Python policy-as-code framework. Analyze relationships between cloud resources using Checkov’s graph-based YAML policies. Execute, test, and modify runner parameters in the context of a subject repository CI/CD and version control integrations.

This is intended to ease the development of web applications using CherryPy (web server) and Elixir (DB access) with python. It will contain structures to easily setup the database structure and populate with data, and to configure the server

Cimarrón is an application development framework which uses the MVC pattern as its basis. Note that while cimarrón provides both View's and some Controller's, it does not Provide any Model, leaving the developer the posibility to choose it freely.

Clairv is a Java framework based on Apache Lucene that adds search capability to your applications. Distributed indices over different machines are supported. A web front end will also be provided.

Classy Vision is a PyTorch-based framework designed for large-scale training and deployment of state-of-the-art image and video classification models. Developed by Facebook Research, it serves as an end-to-end system that simplifies the process of training at scale, reducing redundancy and friction in moving from research to production. Unlike traditional computer vision libraries that focus solely on modular components, Classy Vision provides a complete and unified framework, featuring distributed training, reproducible experiments, and flexible configuration tools. It offers high performance and scalability—capable of training models like ResNet-50 on ImageNet in just minutes—while remaining accessible to both researchers and production engineers. The library integrates seamlessly with PyTorch Hub for easy access to pretrained models and supports elastic training using PyTorch Elastic, making distributed training robust to changes in cluster resources or hardware failures.

This project allow to test network availability on multiple nodes. It is built as a plugin architecture in order to use it on multiples networks. Test is based on three steps : module status, local visibility of network, and interconnection between nodes