Open Source Python Software - Page 70
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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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Speech-AI-Forge
Speech-AI-Forge is a project developed around TTS generation model
Speech-AI-Forge is a full-stack project built around modern text-to-speech generation models, providing both an API server and a Gradio-based web UI for interactive use. At its core, it acts as a hub that wires together multiple speech-related capabilities, including TTS, speech-to-text and LLM-based control flows, behind a consistent interface. The system is designed to be deployed in several ways: you can try it online via hosted demos, spin it up in a one-click Colab environment, run it in Docker containers, or set it up locally with its environment preparation scripts. It is model-agnostic and advertises support for a variety of TTS and speech models such as ChatTTS, CosyVoice, Fish-Speech, FireredTTS and others, as well as Whisper-based ASR, giving you a flexible playground for experimenting with different speech stacks. The project also integrates with general-purpose LLMs (for example GPT- or LLaMA-style models), which can be used to pre-process text, manage conversations. -
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SpoofMAC
Change your MAC address for debugging
SpoofMAC is a command-line utility for changing and restoring MAC addresses on network interfaces in Linux and macOS systems. The project allows users to randomize or manually configure MAC addresses to improve privacy, testing flexibility, or network anonymity in various environments. It automates low-level networking commands and provides a user-friendly interface for managing interface states and address changes safely. SpoofMAC is commonly used for privacy protection on public networks, penetration testing workflows, and network simulation environments where MAC address manipulation is required. The tool also supports restoring the original hardware MAC address and handling multiple network interfaces efficiently. Its lightweight design and straightforward command-line usage make it popular among system administrators, developers, and security researchers. -
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Stable Diffusion WebUI Forge
Stable Diffusion WebUI Forge is a platform on top of Stable Diffusion
Stable Diffusion WebUI Forge is a performance- and feature-oriented fork of the popular AUTOMATIC1111 interface that experiments with new backends, memory optimizations, and UX improvements. It targets heavy users and researchers who push large models, control nets, and high-resolution pipelines where default settings can become bottlenecks. The fork typically introduces toggles for scheduler behavior, attention implementations, caching, and precision modes to reach better speed or quality on given hardware. It also focuses on stability during long sessions, aiming to reduce out-of-memory failures and provide clearer diagnostics when they occur. The UI surfaces advanced options in a way that remains recognizable to WebUI users, so migration costs are low while gaining experimental features. In practice, Forge serves as a proving ground for ideas that may later influence upstream tools, giving power users early access to cutting-edge techniques. -
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StatsForecast
Fast forecasting with statistical and econometric models
StatsForecast is a Python library for time-series forecasting that delivers a suite of classical statistical and econometric forecasting models optimized for high performance and scalability. It is designed not just for academic experiments but for production-level time-series forecasting, meaning it handles forecasting for many series at once, efficiently, reliably, and with minimal overhead. The library implements a broad set of models, including AutoARIMA, ETS, CES, Theta, plus a battery of benchmarking and baseline methods, giving users flexibility in selecting forecasting approaches depending on data characteristics (trend, seasonality, intermittent demand, etc.). Its internal implementation leverages numba to compile performance-critical code to optimized machine-level instructions, which makes the models much faster than many traditional Python counterparts. -
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Strands Agents
A model-driven approach to building AI agents in just a few lines
Strands Agents SDK is a model-driven approach to building and running AI agents. It enables the creation of simple conversational assistants to complex autonomous workflows, scaling from local development to production deployment. The SDK is designed to be simple yet powerful, catering to various AI agent development needs. -
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SuperAGI
A dev-first open source autonomous AI agent framework
An open-source autonomous AI framework to enable you to develop and deploy useful autonomous agents quickly & reliably. Join a community of developers constantly contributing to make SuperAGI better. Access your agents through a graphical user interface. Interact with agents by giving them input, permissions, etc. Agents typically learn and improve their performance over time with feedback loops. Run multiple agents simultaneously to improve efficiency and productivity. Connect to multiple Vector DBs to enhance your agent’s performance. Each agent is unique, use different models of your choice. Get insights into your agent’s performance and optimize accordingly. Control token usage to manage costs effectively. Enable your agents to learn and adapt by storing their memory. Get notified when agents get stuck in the loop, and provide proactive resolution. Read and store files generated by Agents. -
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SwanLab
An open-source, modern-design AI training tracking and visualization
SwanLab is an open-source experiment tracking and visualization platform designed to help machine learning engineers monitor, compare, and analyze the training of artificial intelligence models. The tool records training metrics, hyperparameters, model outputs, and experiment configurations so that developers can easily understand how different experiments perform over time. It provides a modern user interface for visualizing results, enabling teams to compare runs, track model performance trends, and collaborate on machine learning research. SwanLab supports both cloud and self-hosted deployments, allowing organizations to run the system privately or integrate it into shared development environments. The platform integrates with a wide range of machine learning frameworks including PyTorch, Transformers, Keras, and other widely used training ecosystems. -
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SwarmZero
SwarmZero's SDK for building AI agents, swarms of agents and much more
SwarmZero is an open-source platform designed for deploying and managing autonomous robot swarms. It enables collective coordination, decentralized decision-making, and real-time collaboration among large groups of autonomous agents, focusing on multi-robot systems and research in swarm robotics. -
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Sweep AI
Sweep: AI-powered Junior Developer for small features and bug fixes
Let Sweep handle your tech debt so you can focus on the exciting problems. Sweep is an AI junior developer that transforms bug reports & feature requests into code changes. Describe bugs, small features, and refactors like you would to a junior developer and Sweep. -
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Swing Music
Swing Music is a beautiful, self-hosted music player
Swing Music is a beautiful, self-hosted music player and streaming server that lets you bring your personal audio library online with a modern browser-based interface, giving you a private alternative to mainstream streaming services. Designed to be both elegant and powerful, the project scans your local music files (like MP3s or FLACs), organizes metadata, and streams them on-demand to any device with a browser or its Android client. It includes features like folder browsing, playlist creation, related artists/albums exploration, and intelligent metadata normalization so your collection feels clean and connected. The interface handles fuzzy search so typos don’t stop you from finding tracks, supports silence detection and crossfading for a smoother listening experience, and provides statistics about your listening habits to help you understand your personal music library. -
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TapeAgents
A framework that facilitates all stages of LLM development
TapeAgents is a framework that facilitates all stages of the Large Language Model (LLM) agent development lifecycle, providing tools for building, testing, and deploying AI agents. -
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TaskWeaver
A code-first agent framework for seamlessly planning analytics tasks
TaskWeaver is a multi-agent AI framework designed for orchestrating autonomous agents that collaborate to complete complex tasks. -
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Tenacity Python
Retrying library for Python
Tenacity is a Python library that enables automatic retrying of functions with customizable strategies. It replaces the now-deprecated retrying library and supports exponential backoff, fixed delays, stop and wait conditions, and exception filtering. Useful for network operations, API calls, or any unstable process, Tenacity helps increase reliability in Python applications by handling transient failures gracefully and robustly. -
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Text Generation Inference
Large Language Model Text Generation Inference
Text Generation Inference is a high-performance inference server for text generation models, optimized for Hugging Face's Transformers. It is designed to serve large language models efficiently with optimizations for performance and scalability. -
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TigerBot
TigerBot: A multi-language multi-task LLM
TigerBot is an open-source family of large language models designed to support multilingual and multi-task natural language processing applications. The project focuses on building high-performance models capable of handling both English and Chinese tasks while maintaining strong reasoning and conversational abilities. TigerBot models are based on modern transformer architectures and are trained on large datasets that cover multiple domains and languages. The project provides both base models and chat-optimized variants that can be used for dialogue systems, question answering, and general language understanding tasks. In addition to model weights, the repository includes training scripts, inference tools, and configuration files that allow researchers and developers to reproduce experiments or fine-tune the models for specific applications. -
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Tilf
Tilf (Tiny Elf) is a free, simple yet powerful pixel art editor
Tilf (Tiny Elf) is a lightweight, cross-platform pixel art editor developed in Python with PySide6, designed for simplicity, speed, and freedom from account systems or installation overhead. It focuses on enabling artists to create sprites, icons, and small 2D assets quickly, without requiring setup, dependencies, or internet connectivity. Tilf provides a familiar drawing environment with essential tools—such as pencil, eraser, fill, eyedropper, rectangle, and ellipse—along with zoom, grid display, real-time preview, and undo/redo capabilities. It supports importing and exporting images in PNG, JPG, and BMP formats, including transparency options. With its single-executable builds for Windows, macOS, and Linux, Tilf can be run instantly and is ideal for both hobbyist pixel artists and developers needing a quick sketching tool for sprite work. The project emphasizes accessibility and minimalism over complexity, making it approachable even for users with no technical background. -
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TimeTracker
Open-source and free to self-host
TimeTracker by DRYTRIX is a comprehensive self-hosted time tracking and project management application that helps individuals, teams, and small businesses take control of their productivity and billing. Built on a modern web stack (Python/Flask backend with a responsive frontend), TimeTracker enables users to track hours, manage projects and clients, visualize data with interactive charts, and even generate professional invoices directly from tracked time. It embraces privacy and flexibility by running entirely on your own servers, ensuring sensitive business data stays under your control, and supports real-time timer persistence via WebSockets so timers continue even if the browser is closed. With support for Docker deployments and a feature set tailored to freelancers and agencies alike, TimeTracker brings professional time management workflows to open source with a polished user experience and role-based access for collaboration. -
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Toonily Downloader
A python tool for downloading manga from Toonily
Toonily Downloader is a Python-based scraping and downloading tool designed specifically for manga and manhwa hosted on Toonily, enabling users to fetch entire series efficiently while preserving original image quality and structure. It provides both a command-line interface and a graphical user interface, making it accessible for both technical and non-technical users. The software supports downloading full series or selected chapters by parsing Toonily URLs and organizing content into clean, chapter-based directories. It uses concurrent downloading techniques to significantly speed up the process and includes robust error handling to recover from interruptions or failed downloads. Additionally, the tool allows users to convert downloaded chapters into high-quality PDF files without re-encoding images, ensuring fidelity to the original content. -
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TorchAudio
Data manipulation and transformation for audio signal processing
The aim of torchaudio is to apply PyTorch to the audio domain. By supporting PyTorch, torchaudio follows the same philosophy of providing strong GPU acceleration, having a focus on trainable features through the autograd system, and having consistent style (tensor names and dimension names). Therefore, it is primarily a machine learning library and not a general signal processing library. The benefits of PyTorch can be seen in torchaudio through having all the computations be through PyTorch operations which makes it easy to use and feel like a natural extension. -
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Torrra
A Python tool that lets you search and download torrents
Torrra is an open-source BitTorrent client and library focused on simplicity, performance, and extensibility for developers and self-hosted enthusiasts. It provides a command-line interface (CLI) and API that make it easy to add torrenting functionality to applications or automate downloads within scripts and workflows. The core of Torrra is built with modern asynchronous I/O and efficient resource handling, allowing it to manage multiple active torrents, peer connections, and swarm interactions without wasting CPU or memory. Users can add, pause, prioritize, and remove torrents dynamically, while the client intelligently manages piece selection, peer discovery, and bandwidth allocation to optimize download throughput. Torrra also includes hooks for event monitoring and status reporting, enabling third-party tools to visualize torrent progress or integrate with home automation dashboards. -
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TradingView-Webhook-Bot
Send TradingView alerts to Telegram, Discord, Slack, Twitter and Email
TradingView Webhook Bot is a Python and Flask-based service for forwarding TradingView alerts to external communication channels. It listens for TradingView webhook payloads and instantly sends alert messages to Telegram, Discord, Slack, Twitter, or email. The project is designed for traders who want strategy alerts delivered outside TradingView in real time. Configuration is handled through a Python config file, where users can enable or disable channels and set defaults. Alert payloads can also dynamically choose different Telegram, Discord, or Slack destinations. It supports TradingView variables, Markdown-style message formatting for supported platforms, a security key check, and Docker-based deployment. -
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Trail of Bits Skills Marketplace
Trail of Bits Claude Code skills for security research, vulnerability
Trail of Bits Skills Marketplace is a specialized Claude Code skills marketplace built by the security research firm Trail of Bits that focuses on enhancing AI-assisted workflows for vulnerability discovery, testing, and secure development. The repository groups a set of plug-in skills tailored toward static analysis, code auditing, secure defaults detection, and other practices that matter in software security. Users can easily add the marketplace to a Claude Code environment, browse available plugins, and install specific skills for tasks like automatic Semgrep rule creation, entry-point analysis in smart contracts, or insecure defaults detection. This project leverages the agent skills architecture to let AI assistants take on detailed, repeatable security procedures that are typically manual, such as parsing Burp Suite projects or conducting variant analysis across codebases. -
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Transparent Background
This is a background removing tool powered by InSPyReNet
This is a background-removing tool powered by InSPyReNet (ACCV 2022). You can easily remove the background from the image or video or bunch of other stuffs when you can make the background transparent! We basically follow the virtual camera settings from pyvirtualcam. If you do not choose to install virtual camera, it will visualize real-time output with cv2.imshow. Use another checkpoint file. Default is trained with composite dataset and will be automatically downloaded if not available. -
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Triton Inference Server
The Triton Inference Server provides an optimized cloud
Triton Inference Server is an open-source inference serving software that streamlines AI inferencing. Triton enables teams to deploy any AI model from multiple deep learning and machine learning frameworks, including TensorRT, TensorFlow, PyTorch, ONNX, OpenVINO, Python, RAPIDS FIL, and more. Triton supports inference across cloud, data center, edge, and embedded devices on NVIDIA GPUs, x86 and ARM CPU, or AWS Inferentia. Triton delivers optimized performance for many query types, including real-time, batched, ensembles, and audio/video streaming. Provides Backend API that allows adding custom backends and pre/post-processing operations. Model pipelines using Ensembling or Business Logic Scripting (BLS). HTTP/REST and GRPC inference protocols based on the community-developed KServe protocol. A C API and Java API allow Triton to link directly into your application for edge and other in-process use cases. -
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TruLens
Evaluation and Tracking for LLM Experiments
TruLens is an open-source Python library designed to systematically evaluate and track Large Language Model (LLM) applications. It provides fine-grained instrumentation, feedback functions, and a user interface to compare and iterate on app versions, facilitating rapid development and improvement of LLM-based applications. Programmatic tools that assess the quality of inputs, outputs, and intermediate results from LLM applications, enabling scalable evaluation. Fine-grained, stack-agnostic instrumentation and comprehensive evaluations help identify failure modes and systematically iterate to improve applications. An easy-to-use interface that allows developers to compare different versions of their applications, facilitating informed decision-making and optimization. TruLens supports various use cases, including question-answering, summarization, retrieval-augmented generation, and agent-based applications.
