Open Source Python Software - Page 7
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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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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Get full visibility and control over your tasks and projects with Wrike.Wrike offers world-class features that empower cross-functional, distributed, or growing teams take their projects from the initial request stage all the way to tracking work progress and reporting results.
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GhostTrack
Useful tool to track location or mobile number
GhostTrack is an open-source OSINT utility designed to help users gather publicly available intelligence related to IP addresses, phone numbers, and online usernames through a command-line workflow. The project is implemented in Python and targets cybersecurity researchers, ethical hackers, and investigators who need a lightweight reconnaissance tool for digital footprint analysis. It provides a menu-driven interface that allows users to select different tracking modes, making the tool accessible even to those with limited scripting experience. GhostTrack can be combined with complementary tools such as Seeker to enhance IP capture workflows and improve investigative coverage. Because it focuses on aggregating open data rather than exploiting systems, the tool positions itself within the information-gathering phase of security assessments and OSINT research. -
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Terminator - World's Fastest Autoclicker
Never be out-clicked again!
SUBMIT SUGGESTIONS HERE: https://forms.gle/3SSozEcR1p3uy6dPA -------------------------------------------------------------------------------------------- Terminator - The World's Fastest Autoclicker. Made by gamers for gamers. Terminator is the end all be all of all autoclickers. With clicks reaching up to 1000+ CPS, you will never again be outclicked. Version 3.1: * Mouse buttons can now be used again to activate/deactivate the autoclicker Version 3.0: * Modern, clean GUI * Added a left/right click option * Added a hold/toggle mode * Added a dark/light theme * Total clicks display * Active status display Version 2.1: 1. Two methods of activation: Key presses or mouse buttons 2. Activates even while simultaneously pressing other keys 3. Fixed minor bugs -
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GLM-4.5
GLM-4.5: Open-source LLM for intelligent agents by Z.ai
GLM-4.5 is a cutting-edge open-source large language model designed by Z.ai for intelligent agent applications. The flagship GLM-4.5 model has 355 billion total parameters with 32 billion active parameters, while the compact GLM-4.5-Air version offers 106 billion total parameters and 12 billion active parameters. Both models unify reasoning, coding, and intelligent agent capabilities, providing two modes: a thinking mode for complex reasoning and tool usage, and a non-thinking mode for immediate responses. They are released under the MIT license, allowing commercial use and secondary development. GLM-4.5 achieves strong performance on 12 industry-standard benchmarks, ranking 3rd overall, while GLM-4.5-Air balances competitive results with greater efficiency. The models support FP8 and BF16 precision, and can handle very large context windows of up to 128K tokens. Flexible inference is supported through frameworks like vLLM and SGLang with tool-call and reasoning parsers included. -
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WiFi DensePose
Turn WiFi signals into real-time human pose estimation and detection
WiFi DensePose is a production-oriented implementation of a WiFi-based human pose estimation system that enables real-time full-body tracking using wireless signals rather than cameras. The project demonstrates how commodity mesh routers and signal processing techniques can be leveraged to infer dense human pose information, even through obstacles such as walls. It is designed to showcase the emerging field of RF-based sensing, where machine learning models interpret wireless channel data to reconstruct human movement and posture. The repository includes components for data processing, model inference, and real-time visualization, making it suitable for research and experimental deployments. Its architecture emphasizes performance and reproducibility, allowing developers to explore non-visual motion capture systems using accessible hardware. Overall, WiFi DensePose functions as an advanced research-grade toolkit for WiFi-based human sensing and pose estimation. -
The AI-powered unified PSA-RMM platform for modern MSPs.SuperOps.ai is the only PSA-RMM platform powered by intelligent automation and thoughtfully crafted for the new-age MSP. The platform also helps MSPs manage their projects, clients, and IT documents from a single place.
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Fapello.Downloader
NSFW Windows app to batch download images and videos
Fapello.Downloader is a Python-based desktop application designed to automate the bulk downloading of images and videos from the Fapello platform through a simple graphical interface. The tool allows users to paste a content URL and retrieve all associated media in a single operation, eliminating the need for manual downloading of individual files. It is built entirely in Python and leverages libraries such as BeautifulSoup and requests for scraping and data retrieval, while using a customtkinter interface to provide a user-friendly experience. The application is packaged as a standalone executable for Windows, making it accessible without requiring a Python environment. It is optimized for batch operations, organizing downloaded media into structured folders for easy access and storage. The project also includes performance improvements and updates over time, focusing on faster download speeds and improved reliability. -
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Whisper
Robust Speech Recognition via Large-Scale Weak Supervision
OpenAI Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification. A Transformer sequence-to-sequence model is trained on various speech processing tasks, including multilingual speech recognition, speech translation, spoken language identification, and voice activity detection. These tasks are jointly represented as a sequence of tokens to be predicted by the decoder, allowing a single model to replace many stages of a traditional speech-processing pipeline. The multitask training format uses a set of special tokens that serve as task specifiers or classification targets. -
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GFPGAN
GFPGAN aims at developing Practical Algorithms
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration. Colab Demo for GFPGAN; (Another Colab Demo for the original paper model) Online demo: Huggingface (return only the cropped face) Online demo: Replicate.ai (may need to sign in, return the whole image). Online demo: Baseten.co (backed by GPU, returns the whole image). We provide a clean version of GFPGAN, which can run without CUDA extensions. So that it can run in Windows or on CPU mode. GFPGAN aims at developing a Practical Algorithm for Real-world Face Restoration. It leverages rich and diverse priors encapsulated in a pretrained face GAN (e.g., StyleGAN2) for blind face restoration. Add V1.3 model, which produces more natural restoration results, and better results on very low-quality / high-quality inputs. -
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Spleeter
Deezer source separation library including pretrained models
Spleeter is the Deezer source separation library with pretrained models written in Python and using Tensorflow. It makes it easy to train music source separation models (assuming you have a dataset of isolated sources), and provides already trained state of the art models for performing various flavours of separation. 2 stems and 4 stems models have state of the art performances on the musdb dataset. Spleeter is also very fast as it can perform separation of audio files to 4 stems 100x faster than real-time when run on a GPU. We designed Spleeter so you can use it straight from command line as well as directly in your own development pipeline as a Python library. It can be installed with Conda, with pip or be used with Docker. -
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YOLOv3
Object detection architectures and models pretrained on the COCO data
Fast, precise and easy to train, YOLOv5 has a long and successful history of real time object detection. Treat YOLOv5 as a university where you'll feed your model information for it to learn from and grow into one integrated tool. You can get started with less than 6 lines of code. with YOLOv5 and its Pytorch implementation. Have a go using our API by uploading your own image and watch as YOLOv5 identifies objects using our pretrained models. Start training your model without being an expert. Students love YOLOv5 for its simplicity and there are many quickstart examples for you to get started within seconds. Export and deploy your YOLOv5 model with just 1 line of code. There are also loads of quickstart guides and tutorials available to get your model where it needs to be. Create state of the art deep learning models with YOLOv5 -
ContractSafe: Contract Management SoftwareDitch those spreadsheets, shared drives & crazy-expensive solutions with too many bells & whistles. ContractSafe offers the simplest way to manage your contracts efficiently without breaking the bank.
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fsociety
Modular CLI framework for managing penetration testing tools
fsociety is a modular penetration testing framework designed to provide a unified interface for running and managing a wide range of security tools. It focuses on simplifying penetration testing workflows by integrating multiple external security utilities into a single command line environment. Instead of implementing its own security scanners, the framework acts as a wrapper and orchestrator that helps users discover, install, and execute tools from various GitHub repositories. Its modular architecture organizes tools into categories such as information gathering, networking, web application security, and password testing. This structure allows users to quickly navigate through different security tasks while maintaining a consistent interface. fsociety can automatically clone and manage required tools, reducing the manual effort typically needed to set up a penetration testing toolkit. fsociety is distributed as a Python package. -
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LockDown Browser Bypass
Browse the internet while using Respondus LockDown Browser
LockDown Browser Bypass is an experimental tool designed to bypass restrictions imposed by Respondus LockDown Browser on macOS systems by enabling access to external resources during controlled testing environments. The project demonstrates how system-level constraints enforced by proctoring software can be circumvented through alternative execution methods or environmental manipulation. It is part of a broader category of tools that explore the limitations and vulnerabilities of online exam monitoring systems. The repository focuses on providing a proof-of-concept implementation rather than a polished end-user application, highlighting technical feasibility over usability. It typically involves manipulating how the browser interacts with the operating system, allowing users to retain access to normal system functionality while the restricted environment is active. -
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TikTok-ViewBot
ViewBot using requests updated 2025
TikTok-ViewBot explores automated interactions with TikTok’s viewing mechanisms for research and educational purposes. The code demonstrates how scripted traffic might be generated and measured, highlighting the kinds of heuristics a platform could use to validate or discount views. It is often used to study rate limits, signature schemes, request patterns, and the fragility of naïve automation. Because it touches on automation against a third-party service, responsible use and adherence to platform terms are emphasized; using such tools to manipulate metrics or violate policies is unethical and can be unlawful. From a security research perspective, understanding these patterns helps both defenders and platform engineers improve abuse detection. For developers, the repo also serves as a cautionary example of how brittle unofficial integrations can be and why resilient, compliant APIs matter. -
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Notepad++ Python Script
A Python Scripting plugin for Notepad++
A Python Scripting plugin for Notepad++. Complete easy script access to all of the editor's features (including absolutely everything in Scintilla). Configurable menus and toolbar options, assign shortcuts to scripts. -
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Anna’s Archive
Comprehensive search engine for books, papers, comics, magazines
Anna’s Archive is a large-scale open-source search engine and data aggregation platform designed to index and provide access to a vast collection of books, academic papers, comics, magazines, and other digital texts through a unified interface. The project includes all the infrastructure required to run a full instance locally or in production, combining web servers, databases, and search indexing systems into a scalable architecture. It relies heavily on technologies such as Elasticsearch for search functionality and MariaDB for structured data storage, enabling fast and efficient querying across massive datasets. The system is designed with redundancy and replication in mind, allowing distributed deployments and mirrored environments to handle high traffic and large data volumes. It also includes tooling for importing datasets, managing metadata, and maintaining structured archives using custom formats. -
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Video-subtitle-extractor
A GUI tool for extracting hard-coded subtitle (hardsub) from videos
Video hard subtitle extraction, generate srt file. There is no need to apply for a third-party API, and text recognition can be implemented locally. A deep learning-based video subtitle extraction framework, including subtitle region detection and subtitle content extraction. A GUI tool for extracting hard-coded subtitles (hardsub) from videos and generating srt files. Use local OCR recognition, no need to set up and call any API, and do not need to access online OCR services such as Baidu and Ali to complete text recognition locally. Support GPU acceleration, after GPU acceleration, you can get higher accuracy and faster extraction speed. (CLI version) No need for users to manually set the subtitle area, the project automatically detects the subtitle area through the text detection model. Filter the text in the non-subtitle area and remove the watermark (station logo) text. -
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XXMI Launcher
Modding platform for GI, HSR, WW and ZZZ
XXMI Launcher is a unified launcher and management tool designed to simplify the installation and operation of model importers used for modding several popular games, including titles like Genshin Impact and Honkai Star Rail. It acts as a centralized interface that allows users to install, configure, and launch multiple modding frameworks from a single application, reducing the complexity typically associated with manual setup. The software is built with a plug-and-play philosophy, automatically detecting supported games and deploying the appropriate modding environment without requiring deep technical knowledge. It also includes advanced configuration options that allow users to customize how games are launched, providing flexibility for different setups and workflows. The launcher maintains itself and its associated components through automatic updates, ensuring compatibility with game updates and modding tools. -
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eXe
eLearning XHTML editor
eXe, the eLearning XHTML editor, is a freely available authoring application that assists teachers in the publishing of web content without the need to become proficient in HTML or XML markup. Resources authored in eXe can be exported to the web or LMS. -
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Salix is a linux distribution based on Slackware that is simple and easy to use. Salix aims to be completely backwards compatible with Slackware, so Slackware users can benefit from Salix repositories.
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Terminator
multiple GNOME terminals in one window
Terminator was originally developed by Chris Jones in 2007 as a simple, 300-ish line Python script. Since then, it has become The Robot Future of Terminals. Originally inspired by projects like quadkonsole and gnome-multi-term and more recently by projects like Iterm2, and Tilix, It lets you combine and recombine terminals to suit the style you like. If you live at the command line or are logged into 10 different remote machines at once, you should definitely try out Terminator. -
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Asymptote
2D & 3D TeX-Aware Vector Graphics Language
Asymptote is a powerful descriptive vector graphics language for technical drawing, inspired by MetaPost but with an improved C++-like syntax. Asymptote provides for figures the same high-quality typesetting that LaTeX does for scientific text. -
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Minimum barebones Portable Python distribution with PyScripter as development environment. Contains no additional packages other than those provided with the official python setup from python.org NOTE: This project is NOT affiliated with portablepython.com though this project is inspired by it.
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Orange Data Mining
Orange: Interactive data analysis
Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for rapid qualitative analysis with clean visualizations. Graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy. Place widgets on the canvas, connect them, load your datasets and harvest the insight! When teaching data mining, we like to illustrate rather than only explain. -
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VoxCPM
TTS for Context-Aware Speech Generation and True-to-Life Voice Cloning
VoxCPM is a tokenizer-free text-to-speech system that models speech in a continuous space, aiming for extremely realistic, context-aware synthesis and true-to-life zero-shot voice cloning. Instead of converting speech into discrete tokens, it uses an end-to-end diffusion-autoregressive architecture built on the MiniCPM-4 backbone, combining hierarchical language modeling, finite scalar quantization (FSQ), and local Diffusion Transformers. This design helps decouple semantic and acoustic information while preserving fine-grained prosody, leading to more stable and expressive generation than many discrete-token systems. Trained on a large 1.8-million-hour bilingual corpus, VoxCPM can infer appropriate speaking style from context, dynamically adjusting intonation, rhythm, and emotional tone. It supports zero-shot voice cloning from a short reference audio clip, capturing timbre, accent, and pacing to closely mimic a target speaker without per-speaker fine-tuning. -
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Bunkr Downloader
Yet bunkrr album downloader
Bunkr Downloader is a command-line media downloader designed specifically for retrieving and managing albums from the Bunkr platform. It is implemented in Python and focuses on providing a structured workflow for downloading, organizing, and synchronizing media collections. The tool allows users to input album URLs and automatically download all associated media while maintaining a local metadata database for tracking content. It includes features for managing albums as a persistent library, enabling users to add, remove, or sync albums over time without re-downloading existing files. bonkrr also categorizes downloaded content into different media types such as images, videos, and archives, improving organization and usability. The use of SQLite for local storage ensures efficient tracking of downloads and metadata synchronization. Overall, bonkrr is a practical utility for users who want to maintain organized offline collections of media from online album sources. -
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CadQuery
A python parametric CAD scripting framework based on OCCT
CadQuery is an intuitive, easy-to-use Python library for building parametric 3D CAD models. It has several goals. Build models with scripts that are as close as possible to how you’d describe the object to a human, using a standard, already established programming language. Create parametric models that can be very easily customized by end users. Output high-quality CAD formats like STEP and AMF in addition to traditional STL. Provide a non-proprietary, plain text model format that can be edited and executed with only a web browser. The scripts use a standard programming language, Python, and thus can benefit from the associated infrastructure. This includes many standard libraries and IDEs. CadQuery's CAD kernel Open CASCADE Technology (OCCT) is much more powerful than the CGAL used by OpenSCAD. Features supported natively by OCCT include NURBS, splines, surface sewing, STL repair, STEP import/export, and other complex operations.
