Showing 758 open source projects for "python software foundation license"

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  • 1
    nginx ui

    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...
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  • 2
    PyText

    PyText

    A natural language modeling framework based on PyTorch

    PyText is a deep-learning based NLP modeling framework built on PyTorch. PyText addresses the often-conflicting requirements of enabling rapid experimentation and of serving models at scale. It achieves this by providing simple and extensible interfaces and abstractions for model components, and by using PyTorch’s capabilities of exporting models for inference via the optimized Caffe2 execution engine. We use PyText at Facebook to iterate quickly on new modeling ideas and then seamlessly...
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  • 3
    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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  • 4
    Clay Golem

    Clay Golem

    Golem is creating a global market for computing power

    The Golem Network fosters a global group of creators building ambitious software solutions that will shape the technological landscape of future generations by accessing computing resources across the platform. Golem Network is an accessible, reliable, open access and censorship-resistant protocol, democratizing access to digital resources and connecting users through a flexible, open-source platform. With Golem Network, users can connect with ease and pay each other for sharing their unused...
    Downloads: 2 This Week
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  • 5
    AFNetworking

    AFNetworking

    A delightful networking framework for iOS, macOS, watchOS, and tvOS

    AFNetworking is a networking library for Apple’s system software for its various devices, namely iOS, macOS, watchOS and tvOS. AFNetworking simplifies RESTful API networking and creates modular request/response patterns. It is built on top of the Foundation URL Loading System, extending Cocoa’s powerful high-level networking abstractions. AFNetworking is built with a modular architecture and a wonderful set of well-designed, feature-rich APIs. It is supported by an amazing community of...
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  • 6
    JKCategories

    JKCategories

    Collection of useful Objective-C Categories extending iOS Frameworks

    JKCategories(iOS-Categories), a collection of useful Objective-C Categories extending iOS Frameworks such as Foundation, UIKit, CoreData, QuartzCore, CoreLocation, MapKit Etc.
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  • 7
    TensorFlow Object Counting API

    TensorFlow Object Counting API

    The TensorFlow Object Counting API is an open source framework

    The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems. Please contact if you need professional object detection & tracking & counting project with super high accuracy and reliability! You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to do it, please check one of the sample projects, which cover some of the...
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  • 8
    Zappa

    Zappa

    Serverless Python

    Zappa makes it super easy to build and deploy serverless, event-driven Python applications (including, but not limited to, WSGI web apps) on AWS Lambda + API Gateway. Think of it as "serverless" web hosting for your Python apps. That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments! With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in. If the queue of incoming requests...
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  • 9
    pythonbrew

    pythonbrew

    Python Environment manager

    pythonbrew is the Python environments manager. it's easy to switch between them. Inspired by perlbrew and rvm. The recommended way to download from each releases and put it somewhere in your PATH.
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  • 10
    Yandex Tank

    Yandex Tank

    Load and performance benchmark tool

    Yandex.Tank is an extensible open-source load testing tool for advanced Linux users which is especially good as a part of an automated load testing suite. Different load generators are supported. Evgeniy Mamchits' phantom is a very fast (100 000+ RPS) shooter written in C++ (default) JMeter is an extendable and widely known one. BFG is a Python-based generator that allows you to write your load scenarios in Python. Experimental Golang generator: pandora. Performance analytics backend...
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  • 11
    CrypTen

    CrypTen

    A framework for Privacy Preserving Machine Learning

    CrypTen is a research framework developed by Facebook Research for privacy-preserving machine learning built directly on top of PyTorch. It provides a secure and intuitive environment for performing computations on encrypted data using Secure Multiparty Computation (SMPC). Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic...
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  • 12
    Miasm

    Miasm

    Reverse engineering framework in Python

    The Miasm intermediate representation is used for multiple task: emulation through its jitter engine, symbolic execution, DSE, program analysis, but the intermediate representation can be a bit hard to read. We will present in this article new tricks Miasm has learned in 2018. Among them, the SSA/Out-of-SSA transformation, expression propagation and high-level operators can be joined to “lift” Miasm IR to a more human-readable language. We use graphviz to illustrate some graphs. Its layout...
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  • 13
    GUIDOLib
    The GUIDOLib provides a powerful engine for the graphic rendering of music scores, based on the Guido Music Notation format. It supports Linux, Mac OS X, Windows, Android and iOS operating systems. A Java JNI interface is available as well as a Javascript version of the library. A Web API has also been designed, allowing to deploy the engine as a Web service.
    Downloads: 2 This Week
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  • 14
    Flask-GraphQL

    Flask-GraphQL

    Adds GraphQL support to your Flask application

    Adds GraphQL support to your Flask application. This will add /graphql endpoint to your app and enable the GraphiQL IDE. If you are using the Schema type of Graphene library, be sure to use the graphql_schema attribute to pass as schema on the GraphQLView view. Otherwise, the GraphQLSchema from graphql-core is the way to go. The GraphQLSchema object that you want the view to execute when it gets a valid request. A value to pass as the context_value to graphql execute function. By default is...
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  • 15
    Twint

    Twint

    An advanced Twitter scraping & OSINT tool written in Python

    Twint is an advanced open-source Twitter scraping and OSINT tool written in Python that extracts tweets, user data, followers, likes, and more—without relying on Twitter’s API—making it highly useful for researchers, analysts, and hobbyists who want to bypass rate limits and access public Twitter data.
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  • 16
    pythonids

    pythonids

    Enumeration of Python implementations and releases

    The ‘pythonids‘ package provides the enumeration of Python syntaxes and the categorization of Python implementations. This enables the development of fast and easy portable generic code for arbitrary platforms in IT and IoT landscapes consisting of heterogeneous physical and virtual runtime environments. The current supported syntaxes are Python2.7+ and Python3 for the Python implementations: CPython IPython (based on CPython) IronPython Jython PyPy
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  • 17
    Python Poloniex

    Python Poloniex

    Poloniex API wrapper for Python 2.7 & 3

    Poloniex API wrapper for Python 2.7 & 3.
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  • 18
    setupjavax

    setupjavax

    Provides Java and integrated Jython/Pyhon + Java builds

    The ‘setupjavax‘ package provides extension modules for the build of Java and Jython packages. The current release supports the following commands, additional are coming soon: - build_java - Java build and packaging for Python. Supports Java packaging for Python projects, adds native Java modules for Jython. - build_jy - Integrated Python and Java builds for Jython. Supports combined Java and Python / Jython packaging. Calls build_py and build_java.
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  • 19
    yapydata

    yapydata

    Lower-Layer unified data - JSON, XML, YAML + INI, CFG, properties

    The yapydata - Yet Another Python Data - provides a unified interface for the access to various data syntaxes. Therefore it encapsulates the libraries by offering a common API with the canonical internal data as JSON compatible Python in-memory structure. The application is foreseen in particular for the lower layer of the software stack including setup-tools. Thus it uses standard libraries only whenever possible. The initial supported DDLs are: * JSON, XML, YAML and the...
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  • 20
    yapyutils

    yapyutils

    Utilities for platform indepentent low-level system APIs.

    The 'yapyutils' - Yet Another Python Utils - package provides miscellaneous *Python* utilities for the adaptation of platform independent APIs of the low-level part of the software stack. These are e.g. used for extensions of the *setuptools* and *distutils*, thus reduce the package dependency and avoid circular dependencies whenever possible by using standard packages and classes only. The more complex and complete data packages are provided for higher application layer...
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  • 21
    setuplibcore

    setuplibcore

    Internal functions to avoid dependency issues

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  • 22
    setuplib

    setuplib

    Extensions for setuptools - detailed information on entry points

    The *setuplib* package provides core functions for the query of meta information and installation repositories of *Python* packages. It provides query and filter options on the installed packages and the available information, while displaying the result data in various formats, e.g. as table, list, or JSON, XML, YAML, CSV, etc. The provided commands and extension points integrate seamless into the standard *setuptools* and/or *distutils*. The *setuplib* is member of the group...
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  • 23
    setuptestx

    setuptestx

    Support of unit tests on multiple platforms and implementations.

    The 'setuptestx' supports a common call interface for the major implementations and releases of Python on various operating systems and their variants of distributions. The current provided implementations are: - CPython, IPython, PyPY : Python2.7, and Python3.5+ - IronPython, Jython : Python2.7 For the OS see *Tested Platforms* in the manuals.
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  • 24
    namedtupledefs

    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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  • 25
    namedtuplex

    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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