Open Source Python Frameworks - Page 23
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Python Frameworks
View 166 business solutionsBrowse 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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Freejack is a MVC framework for quickly building dynamic websites using Freemarker as the template engine and Python for the controllers.
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gnu4u provides defined set of (GNU-)tools for development C and C++ applications. This tool set is independent of the OS's patch level, is available for different systems and provides the same development and runtime environment for those systems.
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gr-message_to_serial
GNURADIO OOT block
Block that receives a " message" and send string values over serial connection, to control hardware devices ( switch ), for example, via Arduino based controller ( see https://sourceforge.net/projects/ardu-switch/ ) Prerequisite: pyserial Build as usual for a Gnuradio block: - download and unpack - cd gr-message_to serial - mkdir build && cd build - cmake .. && make - sudo make install && ldconfig If successful this block is into OOT section... Enjoy ;-) -
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linux-factory
Framework used to create custom debian linux operating systems
linux-factory is a utility designed to streamline the process of building and customizing Linux kernel images using a simple, scriptable environment. It provides a modular framework for configuring kernel options, applying patches, and generating bootable images, making it ideal for embedded developers, kernel hackers, and OS maintainers. With a strong emphasis on repeatability and automation, linux-factory reduces the manual overhead of compiling and deploying Linux kernels across various platforms. -
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mgE3D - mgEngine3D is an unfinished 3D Engine based on OpenGL. By now it provided several features like scenetree, mesh/skeleton mesh rendering and animation, terrain, materials, textures, multiple viewports, Python exporter for Blender and so on.
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molten
A minimal, extensible, fast and productive framework
molten is a minimal, extensible, fast and productive framework for building HTTP APIs with Python. molten can automatically validate requests according to predefined schemas, ensuring that your handlers only ever run if given valid input. Schemas are PEP484-compatible, which means mypy and molten go hand-in-hand, making your code more easy to maintain. Schema instances are automatically serializable and you can pick and choose which fields to exclude from responses and requests. Write clean, decoupled code by leveraging DI. Define components for everything from settings to DB access and business logic, test them in isolation and swap them out as needed. Here we’ve declared a Todo manager whose job it is to store and load Todos in the DB. In order for handlers to be able to request manager instances from the DI system, we also define a component that knows how and when to instantiate a TodoManager. -
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nJES is a complete CPython rewrite of JES (Jython Environment for Students), originally written by Mark Guzdial and Barbara Ericson. The primary objective of the rewrite is to enhance performance while maintaining full forward compatibility with JES.
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nacho
Python micro web-framework and asynchronous networking library
Nacho is an open-source CLI tool (or library) that streamlines the creation of RESTful APIs, scaffolding, or microservices in a chosen framework, reducing boilerplate and enabling rapid building of backend services. It focuses on productivity by providing commands to generate endpoints, data models, controllers, and routing based on standard patterns (CRUD, REST conventions). The tool also includes support for middleware integration, automatic documentation (such as via OpenAPI/Swagger), and ready hooks for authentication or authorization setup. Developers can customise templates used for generation or plug custom patterns, which makes the tool suitable across small utilities or large service fleets. Because it encourages consistency among services, teams can spin up new microservices with a shared structure and skip repetitive setup. Though the repository may be less active than some major frameworks, it serves as a valuable jump-start for projects where speed and uniformity matter. -
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namedtupledefs
Pacthed namedtuple for field defaults.
The namedtupledefs is a patched release of the standard collection.namedtuple with added support of default values for field. In addition a method _merge is supported for the combination of named tuples. For Python2 see namedtupledefs2. -
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namedtupledefs2
Pacthed namedtuple for field defaults.
The namedtupledefs is a patched release of the standard collection.namedtuple with added support of default values for field. In addition a method _merge is supported for the combination of named tuples. For Python3 see namedtupledefs3 or namedtupledefs -
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namedtupledefs3
Pacthed namedtuple for field defaults.
The namedtupledefs is a patched release of the standard collection.namedtuple with added support of default values for field. In addition a method _merge is supported for the combination of named tuples. For Python2 see namedtupledefs2. -
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namedtuplex
Pacthed namedtuple for field defaults.
The namedtupledefs is a patched release of the standard collection.namedtuple with added support of default values for field. In addition a method _merge is supported for the combination of named tuples. For Python2 see namedtupledefs2. -
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nginx ui
Nginx UI allows you to access and modify the nginx configurations
We use nginx in our company lab environment. It often happens that my colleagues have developed an application that is now deployed in our Stage or Prod environment. To make this application accessible nginx has to be adapted. Most of the time my colleagues don't have permission to access the server and change the configuration files and since I don't feel like doing this for everyone anymore I thought a UI could help us all. If you feel the same way I wish you a lot of fun with the application and I am looking forward to your feedback, change requests or even a star. Containerization is now state of the art and therefore the application is delivered in a container. With the menu item Main Config the Nginx specific configuration files can be extracted and updated. These are dynamically read from the Nginx directory. If a file has been added manually, it is immediately integrated into the Nginx UI Main Config menu item. -
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pep484 stubs for Django
PEP-484 stubs for Django
This package contains type stubs and a custom mypy plugin to provide more precise static types and type inference for Django framework. Django uses some Python "magic" that makes having precise types for some code patterns problematic. This is why we need this project. The final goal is to be able to get precise types for the most common patterns. We are independent from Django at the moment. There's a proposal to merge our project into the Django itself. You can show your support by liking the PR. This project does not affect your runtime at all. It only affects mypy type checking process. The current implementation uses Django's runtime to extract information about models, so it might crash if your installed apps or models.py are broken. -
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pgApex
http://95.85.49.98:8081/apex/q
Web RAD for PostgreSQL tool. -
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pipeless
A computer vision framework to create and deploy apps in minutes
Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new video frames and Pipeless takes care of everything else. You can easily use industry-standard models, such as YOLO, or load your custom model in one of the supported inference runtimes. Pipeless ships some of the most popular inference runtimes, such as the ONNX Runtime, allowing you to run inference with high performance on CPU or GPU out-of-the-box. You can deploy your Pipeless application with a single command to edge and IoT devices or the cloud. -
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Python Integrated Parallel Programming EnviRonment (PIPPER), Python pre-parser that is designed to manage a pipeline, written in Python. It enables automated parallelization of loops. Think of it like OpenMP for Python, but it works in a computer cluster
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platformids
OS and Distribution Release Enumeration
The ‘platformids‘ package provides the categorization and enumeration of OS platforms and distributions. This enables the development of portable generic code for arbitrary platforms in IT and IoT landscapes consisting of heterogeneous physical and virtual runtime environments. The introduced hierarchical bitmask vectors enable for fast and efficient platform specific code and data selection for OS and distributions with routines for specific platform releases. The supported version numbering comprise various release schemes such as classical version numbers with variable segments and optional release names, * AlpineLinux-3.8.1 * CentOS-6.10 * Debian-9.6 * Fedora31 * OS-X-10.6.8 * Ubuntu-18.04 * armbian-5.76 * cygwin-2.9.0 * opensuse-15.1 * raspbian-9.4 * slackware-14.2 * solaris-11.3 variations of numbering schemes and continous deployment * CentOS-7.6-1810 * NT-6.3.9600 * archlinux-2018.12.01 * kali-linux-2019.1 * NT-10.0.1809 -
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The pyARS python module allows developers to use BMC's ARSystem (Remedy ARS) and Atrium CMDB functions from within Python. Using Python's interactive shell, it is extremely easy to retrieve and modify data entries as well as workflow objects. ARSystem, also known as ARS or Remedy, is a powerful enterprise workflow engine. Atrium is a Configuration Management Data Base, a.k.a. Installed Base built on top of ARSystem.
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pyCRM puts together some basic building stones of each CRM like user administration, calendars etc. The main intention is to provide some metadata driven system to simplify extensibility and upgradeability of CRM systems built on top of it.
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A Graphical Editing Framework(GEF), for Python. It provides a canvas similar to wxArt2D and a editing framework based on MVC. The framework can be used to develop scientific and engineering tools that require graphical editing.
