Open Source Python Software - Page 48
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Python Software
Browse free open source Python Software and projects below. Use the toggles on the left to filter open source Python Software by OS, license, language, programming language, and project status.
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Airtime
Open source broadcast automation software for scheduling and playout
Airtime lets you take total control of your radio station via the web with intelligent archive management, powerful search, an easy playlist builder, a simple scheduling calendar and rock-solid automated playout. Features include Smart Blocks, live assist modes, WAV, FLAC, AAC, MP3 and OGG support, fades, cues, playlists, programme calendar, Icecast, Shoutcast and Soundcloud integration, DJ and station manager roles, JQuery widgets, Liquidsoap playout, and a record and rebroadcast functionality. Powerful media archive features 'watch' folders to allow stations to magically synchronise files, auto-import files and has multiple directory support. Airtime is free to download, runs on Ubuntu and Debian, and users can interact with it through any web browser. Airtime now comes with an 'easy install' package. -
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TurboAutoClicker 1.1
Auto Clicker
It is an auto clicker that does up to 60 clicks per second, you can choose between mouse wheel click, right click and left click and you can set with which button you can start and with which you can stop it, you can switch between light mode and dark mode, is still in 1.1 but it will still get updates :) -
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[[We are in the progress of moving to github]] Metalinks is a project to facilitate data distribution over mirrors and P2P networks. It does so by defining an XML format and the tools to handle these. The metalink files contain all the information needed to download and verify files.
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YouTube-DL-PyTK
Video Downloader - Cross Platform
YouTube-DL-PyTK (formerly known as YouTube-DL-GTK) is just a graphical launcher for yt-dlp. Its purpose is simple; to facilitate the downloading of non-copyright-protected videos from certain internet websites including YouTube. Source code is included and can be executed directly if you have Python and the proper dependencies available. I digitally sign some files in my releases. If you'd like to verify those signatures, you can find my PGP/GPG keys at: https://marcusadams.me/keys.html If you'd like to read the source code without downloading anything, you can do so on the project's Gitlab at: https://gitlab.com/gerowen/youtube-dl-pytk If you'd like to donate there's several ways to do so: PayPal: https://paypal.me/gerowen Bitcoin (BTC): bc1q86c5j7wvf6cw78tf8x3szxy5gnxg4gj8mw4sy2 Monero (XMR): 42ho3m9tJsobZwQDsFTk92ENdWAYk2zL8Qp42m7pKmfWE7jzei7Fwrs87MMXUTCVifjZZiStt3E7c5tmYa9qNxAf3MbY7rD -
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Quamachi
A Hamachi GUI for Linux
Quamachi is a Hamachi GUI for Linux. It was designed by Xavion. Hamachi is a zero-configuration VPN service. It was designed by LogMeIn. Use Quamachi if you want to: * Access VPNs via a mature GUI * Browse remote Samba file-shares * Remotely control via SSH and VNC * Flexibly choose optional dependencies -
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RTLSDR Scanner
A cross platform Python frequency scanning GUI for rtl-sdr
A cross platform Python frequency scanning GUI for USB TV dongles, using the OsmoSDR rtl-sdr library. In other words a cheap, simple Spectrum Analyser. More information can be found at: http://eartoearoak.com/software/rtlsdr-scanner An installer and standalone versions for Windows are located here: https://github.com/EarToEarOak/RTLSDR-Scanner/releases Sources are available on GitHub: https://github.com/EarToEarOak/RTLSDR-Scanner ** The up to date installer is no longer maintained on this site and can now be found at https://github.com/EarToEarOak/RTLSDR-Scanner/releases ** -
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Easy control of virtual machines of VirtualBox (virtualization solution) on a Linux headless server. Autostart and autosave on boot/halt. Start, stop, save, backup and show status of sessions in batch mode from command line.
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SDL_Bgi
Graphics library (GRAPHICS.H) for C, C++, WebAssembly, and Python.
SDL bgi is a graphics library (GRAPHICS.H) for C, C++, WebAssembly, and Python. It's based on SDL2 / SDL3 and it's portable on many platforms. SDL_bgi is functionally compatible with the original BGI in Turbo C and Borland C++, and also with another implementation, WinBGIm. In addition, SDL_bgi provides extensions for ARGB colours, mouse support, vector fonts, and multiple windows. -
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This is just a Demo release of the game. Known problem: - The game runs slow / laggy. i think the enemies/camera might be causing it. Play as Super mario in 4 new levels! Game made in python with help of sprites/images Made by Morp.
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A Complete Beginner's Guide to Django
A Complete Beginner's Guide to Django - Code Samples
Code samples from the Django tutorial series. I’m starting a new tutorial series about Django fundamentals. It’s a complete beginner’s guide to start learning Django. The material is divided into seven parts. We’re going to explore all the basic concepts in great detail, from installation, and preparation of the development environment, models, views, templates, URLs to more advanced topics such as migrations, testing, and deployment. I wanted to do something different. A tutorial that would be easy to follow, informative and fun to read. That was when I came up with the idea to create some comics along the text to illustrate some concepts and scenarios. I hope you enjoy the reading! Django is a Web framework written in Python. A Web framework is a software that supports the development of dynamic Web sites, applications, and services. It provides a set of tools and functionalities that solves many common problems associated with Web development. -
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AGI (Android GPU Inspector)
Android GPU Inspector
Android GPU Inspector (AGI) is a desktop tool for profiling, tracing, and debugging graphics workloads running on Android devices. It helps developers analyze Vulkan and OpenGL ES applications at the system, frame, and draw-call levels to uncover GPU and CPU bottlenecks. AGI captures detailed performance counters, timelines, and pipeline state to reveal stalls, overdraw, shader hotspots, and inefficient resource usage. Its frame debugger lets you step through commands, inspect render targets and textures, review shaders, and experiment with pipeline changes to validate optimizations. Beyond per-frame analysis, AGI correlates GPU activity with CPU threads and system events to diagnose contention, scheduling issues, and thermal or power constraints. The tool is designed for reproducible performance investigations, making it easier to iterate, compare captures, and ship smoother, more efficient Android graphics experiences. -
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AIF360
A comprehensive set of fairness metrics for datasets
This extensible open source toolkit can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI application lifecycle. We invite you to use and improve it. The AI Fairness 360 toolkit is an extensible open-source library containing techniques developed by the research community to help detect and mitigate bias in machine learning models throughout the AI application lifecycle. AI Fairness 360 package is available in both Python and R. The AI Fairness 360 interactive experience provides a gentle introduction to the concepts and capabilities. The tutorials and other notebooks offer a deeper, data scientist-oriented introduction. The complete API is also available. Being a comprehensive set of capabilities, it may be confusing to figure out which metrics and algorithms are most appropriate for a given use case. To help, we have created some guidance material that can be consulted. -
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ART ASCII Library
ASCII art library for Python
ASCII art is also known as "computer text art". It involves the smart placement of typed special characters or letters to make a visual shape that is spread over multiple lines of text. ART is a Python lib for text converting to ASCII art fancy. -
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ASRT Speech Recognition
A Deep-Learning-Based Chinese Speech Recognition System
ASRT is an end-to-end deep-learning Chinese ASR system built with TensorFlow/Keras, using convolution + CTC and a Max-Entropy HMM language model. It provides a REST/gRPC server backend and client SDKs in multiple languages (Python, Java, Go, Windows). Notably lightweight, it performs well without needing GPU acceleration and runs across platforms, targeting developers and researchers building Chinese voice interfaces. -
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AWS GameKit Plugin for Unreal
The AWS GameKit Plugin for Unreal
AWS GameKit is an open-source engine integration toolkit for game developers who want to create high-quality, cloud-connected game features without the potentially steep learning curve for cloud service architecture and AWS. With AWS GameKit, you can deliver core functionality to your players with minimal effort and time by using pre-built AWS solutions for your game backend and integrating the features into your game. You can use the AWS GameKit game features as designed or as a launch pad to expand and customize as needed. The plugin is developed using Unreal version 4.27. Install before proceeding. Game projects created in Unreal versions later than 4.27 are not backward compatible. AWS GameKit supports Unreal Engine version 4.27. Create the Visual Studio Solution for your game. Build GameKit C++ and copy over the DLL/PDB files. Make sure to checkout the matching version from the .gkcpp_version file in this repository. -
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AWS Jupyter Proxy
Jupyter server extension to proxy requests with AWS SigV4 authentican
A Jupyter server extension to proxy requests with AWS SigV4 authentication. This server extension enables the usage of the AWS JavaScript/TypeScript SDK to write Jupyter frontend extensions without having to export AWS credentials to the browser. A single /awsproxy endpoint is added on the Jupyter server which receives incoming requests from the browser, uses the credentials on the server to add SigV4 authentication to the request, and then proxies the request to the actual AWS service endpoint. All requests are proxied back-and-forth as-is, e.g., a 4xx status code from the AWS service will be relayed back as-is to the browser. Using this requries no additional dependencies in the client-side code. Just use the regular AWS JavaScript/TypeScript SDK methods and add any dummy credentials and change the endpoint to the /awsproxy endpoint. -
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AWS ParallelCluster Node
Python package installed on the Amazon EC2 instances
aws-parallelcluster-node is the python package installed on the Amazon EC2 instances launched as part of AWS ParallelCluster. AWS ParallelCluster is an AWS-supported Open Source cluster management tool that makes it easy for you to deploy and manage High-Performance Computing (HPC) clusters in the AWS cloud. Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS. It automatically sets up the required compute resources and a shared filesystem and offers a variety of batch schedulers such as AWS Batch and Slurm. AWS ParallelCluster facilitates both quick start proof of concepts (POCs) and production deployments. You can build higher-level workflows, such as a Genomics portal that automates the entire DNA sequencing workflow, on top of AWS ParallelCluster. -
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Academic File Converter
Import Bibtex publications and Jupyter Notebook posts into websites
Easily import publications and Jupyter notebooks to your Markdown-formatted website or book. -
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Agent Squad
Flexible and powerful framework for managing multiple AI agents
Agent-Squad is a flexible and powerful framework for managing multiple AI agents and handling complex conversations. It intelligently routes queries and maintains context across interactions, offering pre-built components for quick deployment and easy integration of custom agents. -
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AgentOps
Python SDK for agent monitoring, LLM cost tracking, benchmarking, etc.
Industry-leading developer platform to test and debug AI agents. We built the tools so you don't have to. Visually track events such as LLM calls, tools, and multi-agent interactions. Rewind and replay agent runs with point-in-time precision. Keep a full data trail of logs, errors, and prompt injection attacks from prototype to production. Native integrations with the top agent frameworks. -
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Agentic Security
Agentic LLM Vulnerability Scanner / AI red teaming kit
The open-source Agentic LLM Vulnerability Scanner. -
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Aim
An easy-to-use & supercharged open-source experiment tracker
Aim logs all your AI metadata (experiments, prompts, etc) enabling a UI to compare & observe them and SDK to query them programmatically. The Aim standard package comes with all integrations. If you'd like to modify the integration and make it custom, create a new integration package and share with others. Aim is an open-source, self-hosted AI Metadata tracking tool designed to handle 100,000s of tracked metadata sequences. The two most famous AI metadata applications are: experiment tracking and prompt engineering. Aim provides a performant and beautiful UI for exploring and comparing training runs, and prompt sessions. -
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AlphaGenome
Programmatic access to the AlphaGenome model
The AlphaGenome API provides access to AlphaGenome, Google DeepMind’s unifying model for deciphering the regulatory code within DNA sequences. This repository contains client-side code, examples, and documentation to help you use the AlphaGenome API. AlphaGenome offers multimodal predictions, encompassing diverse functional outputs such as gene expression, splicing patterns, chromatin features, and contact maps. The model analyzes DNA sequences of up to 1 million base pairs in length and can deliver predictions at single-base-pair resolution for most outputs. AlphaGenome achieves state-of-the-art performance across a range of genomic prediction benchmarks, including numerous diverse variant effect prediction tasks. -
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Alphafold
Open source code for AlphaFold
This package provides an implementation of the inference pipeline of AlphaFold v2.0. This is a completely new model that was entered in CASP14 and published in Nature. For simplicity, we refer to this model as AlphaFold throughout the rest of this document. Any publication that discloses findings arising from using this source code or the model parameters should cite the AlphaFold paper. Please also refer to the Supplementary Information for a detailed description of the method. You can use a slightly simplified version of AlphaFold with this Colab notebook or community-supported versions. The total download size for the full databases is around 415 GB and the total size when unzipped is 2.2 TB. Please make sure you have a large enough hard drive space, bandwidth and time to download. We recommend using an SSD for better genetic search performance.