Open Source Python Software Development Software - Page 60
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Python Software Development Software
View 5767 business solutionsBrowse free open source Python Software Development Software and projects below. Use the toggles on the left to filter open source Python Software Development Software by OS, license, language, programming language, and project status.
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Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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Lightspeed golf course management softwareFrom tee sheet management, point of sale and payment processing to marketing, automation, reporting and more—Lightspeed is built for the pro shop, restaurant, back office, beverage cart and beyond.
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Hugo Academic CLI
Import academic publications from Bibtex to your Markdown website
Import publications from your reference manager to Hugo. Import publications, including books, conference proceedings and journals, from your reference manager to your static site generator. Simply export a BibTeX file from your reference manager, such as Zotero, and provide this as the input. -
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Human Speakable Programming Language
foundation of the General Intelligence Operating System
HSPL is Human Speakable Programming Language, allowing for communication between human-to-computer and human-to-human in the same language. This project has moved to http://sourceforge.net/p/spel We are currently working on human-to-computer programming-language with mostly English base vocabulary. Though once we have that, we plan to add support for other world Languages, including Chinese, Spanish, Russian, Arabic, Hindi, among others. Eventually HSPL shall be the foundation of GIOS the General Intelligence Operating System. Which is an open source operating system, that can be used for intelligent robots, computers and technological host-bodies. Regularly post on blog about HSPL at http://weyounet.info/?s=hspl -
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HumbleUI
Clojure Desktop UI framework
HumbleUI is a lightweight, declarative, and composable UI framework, likely intended for building graphical user interfaces in a minimal, modular way. It emphasizes ease of use, customization, and modular components. (Note: while there is a repository, I did not find a detailed README in my search to fully confirm all capabilities.) Electron is a great landmark. Normal shortcuts, icon, its own window, file system access, notifications, OS integrations. Write once, run everywhere is no longer rejected by users. Performant enough not to noticeably lag. -
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Hy
A dialect of Lisp that's embedded in Python
Hy is a multi-paradigm general-purpose programming language in the Lisp family. It’s implemented as a kind of alternative syntax for Python. Compared to Python, Hy offers a variety of extra features, generalizations, and syntactic simplifications, as would be expected of a Lisp. Compared to other Lisps, Hy provides direct access to Python’s built-ins and third-party Python libraries, while allowing you to freely mix imperative, functional, and object-oriented styles of programming. The first thing a Python programmer will notice about Hy is that it has Lisp’s traditional parenthesis-heavy prefix syntax in place of Python’s C-like infix syntax. As in other Lisps, the value of a simplistic syntax is that it facilitates Lisp’s signature feature, metaprogramming through macros, which are functions that manipulate code objects at compile-time to produce new code objects, which are then executed as if they had been part of the original code. -
Accounts Payable Software | AvidXchangeDrive greater business success by automating the accounts payable process to boost efficiency, accuracy and speed in the processing of invoices and payments.
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This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
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HyperGAN
Composable GAN framework with api and user interface
A composable GAN built for developers, researchers, and artists. HyperGAN builds generative adversarial networks in PyTorch and makes them easy to train and share. HyperGAN is currently in pre-release and open beta. Everyone will have different goals when using hypergan. HyperGAN is currently beta. We are still searching for a default cross-data-set configuration. Each of the examples supports search. Automated search can help find good configurations. If you are unsure, you can start with the 2d-distribution.py. Check out random_search.py for possibilities, you'll likely want to modify it. The examples are capable of (sometimes) finding a good trainer, like 2d-distribution. Mixing and matching components seems to work. -
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Hylt is a file format that provides HYperLinked Text with minimal markup, meant to be both easy to view in any program and easy to keep in a version control system. The Hylt project covers the file specification, viewers, and tools to manage Hylt files.
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HyperSQL is like a doxygen plus javadoc for SQL, hypermapping SQL views, packages, procedures, and functions to HTML source code listings and showing all code locations where these are used.
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Hypothesis
The property-based testing library for Python
Hypothesis is a powerful library for property-based testing in Python. Instead of writing specific test cases, users define properties and Hypothesis generates random inputs to uncover edge cases and bugs. It integrates with unittest and pytest, shrinking failing examples to minimal reproducible cases. Widely adopted in production systems, Hypothesis boosts code reliability by exploring input spaces far beyond manually crafted tests. -
AI-based, Comprehensive Service Management for Businesses and IT ProvidersChangeGear provides IT staff with the functions required to manage everything from ticketing to incident, change and asset management and more. ChangeGear includes a virtual agent, self-service portals and AI-based features to support analyst and end user productivity.
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I hate money
A simple shared budget manager web application
I hate money is a web application made to ease shared budget management. It keeps track of who bought what, when, and for whom; and helps to settle the bills. I hate money is written in python, using the flask framework. It’s developed with ease of use in mind and is trying to keep things simple. Hope you (will) like it! The code is distributed under a BSD beerware derivative: if you meet the people in person and you want to pay them a craft beer, you are highly encouraged to do so. -
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Python Lib to Control a I2C-LCD Display with PCF8574 expander.
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I3D models trained on Kinetics
Convolutional neural network model for video classification
Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with both RGB and optical flow input streams. The models have achieved state-of-the-art results on benchmark datasets such as UCF101 and HMDB51, and also won first place in the CVPR 2017 Charades Challenge. The project provides TensorFlow and Sonnet-based implementations, pretrained checkpoints, and example scripts for evaluating or fine-tuning models. It also offers sample data, including preprocessed video frames and optical flow arrays, to demonstrate how to run inference and visualize outputs. -
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IDEAIS is a enteprise service bus integration plataform for software development tools and activities. It uses Web Services (SOAP/HTTP) to integrate best of the breed software development tools (Eclipse, Subversion, Bugzilla, dotProject, vTiger).
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An official experimental fork of Python's integrated development environment IDLE. Worthwhile and successful changes and additions will go back into the Python distribution's IDLE at some later stage. There is no spanish inquisition.
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IDXMLParser is a "sloppy dom" XML parser, that provides for an XPath *like* interface for querying XML elements and attributes, whilst not requiring any validation of the XML.
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Written in C++, IFI-picloader is a US First Competition Linux port for Innovation First Inc. Robot Controller programmer using a pic 18F8520. It writes MCC18 compiled hex files to PIC and allows users to program under *nix based operating systems.
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IFP (ISPF for Python) is a console based full screen text user interface and API based on IBM's ISFP.
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The illegitimate child of a free-spirited comedian and a profiteering barista; a batteries included approach to compiled languages.
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math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net
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IOS13-SimulateTouch
iOS Automation Framework iOS Touch Simulation Library
A system-wide touch event simulation library for iOS 11.0 - 14. This library enables you to simulate touch events on iOS 11.0 - 14 with just one line of code! Currently, the repository is mainly for programmers. In the future, I will make it suitable for people who do not understand how to code. -
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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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WARNING: Project moved to http://github.com/scemama/irpf90 IRPF90 is a Fortran90 preprocessor written in Python for programming using the Implicit Reference to Parameters (IRP) method. It simplifies the development of large fortran codes in the field of scientific high performance computing.
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Institute of Technology, Blanchardstown Computer Science code by the class of 2007-2011 on course BN104. In this project we are open sourcing all of our project work to the public in the hopes it can be reused, built-upon, and used in education.
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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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IceCream
Never use print() to debug again
Do you ever use print() or log() to debug your code? Of course you do. IceCream, or ic for short, makes print debugging a little sweeter. With arguments, ic() inspects itself and prints both its own arguments and the values of those arguments. Just give ic() a variable or expression and you're done. ic() returns its argument(s), so ic() can easily be inserted into pre-existing code. Additionally, ic()'s output can be entirely disabled, and later re-enabled, with ic.disable() and ic.enable() respectively. ic() continues to return its arguments when disabled, of course; no existing code with ic() breaks. To make ic() available in every file without needing to be imported in every file, you can install() it. ic() can also be imported in a manner that fails gracefully if IceCream isn't installed, like in production environments (i.e. not development).
