Open Source Python Software - Page 46
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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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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhereâacross 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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X's Recommendation Algorithm
Source code for the X Recommendation Algorithm
The Algorithm is Twitterâs open source release of the core ranking system that powers the platformâs home timeline. It provides transparency into how tweets are selected, prioritized, and surfaced to users, reflecting Twitterâs move toward openness in recommendation algorithms. The repository contains the recommendation pipeline, which incorporates signals such as engagement, relevance, and content features, and demonstrates how they combine to form ranked outputs. Written primarily in Scala, it shows the architecture of large-scale recommendation systems, including candidate sourcing, ranking, and heuristics. While certain components (such as safety layers, spam detection, or private data) are excluded, the release provides valuable insights into the design of real-world machine learningâdriven ranking systems. The project is intended as a reference for researchers, developers, and the public to study, experiment with, and better understand the mechanisms behind social media content. -
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aeneas
Automagically synchronize audio and text (aka forced alignment)
aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment). aeneas automatically generates a synchronization map between a list of text fragments and an audio file containing the narration of the text. In computer science this task is known as (automatically computing a) forced alignment. -
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aws-cli
Universal Command Line Interface for Amazon Web Services
The AWS CLI is the universal command-line interface for managing AWS services, automating tasks, and scripting cloud workflows. It exposes nearly every public API from EC2 and S3 to IAM, Lambda, and beyond, providing parity with the service SDKs in a tool you can run anywhere. Profiles, regions, single-sign-on, and credential helpers make it straightforward to switch contexts securely across accounts and environments. Its output controls and JMESPath querying let you slice, filter, and transform JSON responses directly in the shell, which is essential for automation. Waiters, paginators, and retries handle long-running or large list operations cleanly so scripts are resilient. The CLIâs stability and extensive documentation make it a cornerstone for CI/CD, incident response, and day-to-day operations. -
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book-to-skill
Turn any technical book PDF into a Claude Code skill
book-to-skill is a Claude Code skill that turns technical books and documents into reusable AI reference skills. It extracts content from PDFs and EPUBs, then organizes the material so an assistant can study, reference, and apply it while working. The project is useful for transforming dense manuals, textbooks, internal documentation, or technical guides into practical agent-accessible knowledge. It includes an extraction script and a SKILL.md workflow that guides how the resulting content should be used. The goal is not simply to summarize a book, but to make its knowledge available during problem solving and implementation. book-to-skill is best suited for developers and researchers who want AI assistants to work from specific long-form source material. -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud creditsâno strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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claude-code-best-practice
Practice made claude perfect
claude-code-best-practice is a structured knowledge repository that documents advanced workflows, architectural patterns, and optimization strategies for developers using Claude Code in agentic development environments. Rather than being a traditional software library, the project functions as a living playbook that demonstrates how to compose skills, agents, memory files, and rules into maintainable AI-assisted coding systems. The repository emphasizes modularity and progressive disclosure, encouraging developers to build reusable components that can be invoked on demand. It also explores operational concerns such as permissions management, sandboxing, debugging workflows, and context optimization. By combining conceptual guidance with concrete examples and configuration patterns, the project helps teams move from experimental AI usage toward more production-ready agent orchestration. -
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claude-obsidian
Claude + Obsidian knowledge companion
claude-obsidian is an AI-powered knowledge engine that transforms an Obsidian vault into a self-organizing, continuously evolving wiki. Instead of acting as a simple chat assistant, it autonomously creates, links, and maintains structured knowledge based on user inputs and external sources. The system follows the LLM Wiki pattern, where information is stored as persistent markdown files that grow richer over time through cross-referencing and synthesis. It includes features such as contradiction detection, orphaned note identification, and automatic indexing. A persistent memory layer ensures continuity across sessions, eliminating the need for repeated context. It also performs autonomous research to fill knowledge gaps and expand the knowledge base. Overall, it turns note-taking into an active, compounding intelligence system. -
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dnstwist
Detects phishing and lookalike domains using DNS fuzzing techniques
dnstwist is an open source cybersecurity tool designed to identify malicious or suspicious domain names that imitate legitimate websites. It works by generating a large set of domain name permutations based on a target domain and analyzing whether any of those variants are actively registered or used. These permutations simulate common techniques used in phishing attacks, typosquatting, and brand impersonation campaigns. Security teams can use the tool to discover potential threats where attackers attempt to deceive users with lookalike domains. dnstwist also helps detect phishing activity by comparing web page content and visual similarity between domains using fuzzy hashing and perceptual hashing techniques. By automating DNS fuzzing and analysis, it provides organizations with an additional source of targeted threat intelligence. The tool can output results in structured formats, making it easier to integrate with security workflows or further analyze suspicious domains. -
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gdown
Google Drive public file downloader when curl/wget fails
gdown is a Python downloader designed for public Google Drive files and folders that ordinary curl or wget commands may not retrieve correctly. It handles Drive confirmation pages and extracts file identifiers from several common share-link formats. Users can download individual files, recursively copy folders, choose output paths, or inspect resolved names as JSON. Google Docs, Sheets, and Slides can be exported to formats such as DOCX, XLSX, PPTX, PDF, and CSV. Interrupted transfers can resume, while optional controls limit speed, route traffic through a proxy, adjust certificates, or change cookies and user agents. The tool also downloads regular HTTP and HTTPS URLs and can stream data to standard output. It is available as both a command-line program and a Python package. -
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invisible_playwright
Anti-Detect Browser that passes every bot detection test
invisible_playwright is a stealth browser automation project that presents itself as a drop-in Playwright replacement built around a patched Firefox browser. It is designed to preserve Playwright-style automation while reducing the browser fingerprints that automated sessions often expose. The project targets advanced browser testing, AI browser workflows, and automation scenarios where normal headless browsers may be blocked or classified as bots. It includes claims about passing common browser-fingerprint and bot-detection checks, which makes it technically notable but also sensitive in how it should be used. Responsible use should be limited to authorized testing, internal automation, QA, and research environments. It is best understood as a specialized automation compatibility layer for developers who need Playwright-like control with stronger stealth characteristics. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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jlens
Companion code for the global workspace interpretability paper
Jacobian Lens is Anthropicâs reference implementation for examining what a language modelâs internal activations are inclined to produce as text. It transports residual-stream vectors from selected layers and positions into the final-layer basis using an averaged input-output Jacobian. The transformed vectors are decoded through the modelâs own unembedding into ranked vocabulary predictions. The package can fit new lenses, load saved ones, apply them to prompts, and merge results from parallel fitting jobs. Interactive layer-by-position views reveal how token rankings evolve across the network and compare them with the modelâs final output. It supports open-weight Hugging Face decoder models, with Qwen used in the included examples. The repository also provides synthetic evaluation data and an end-to-end notebook, but it is not maintained. -
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llama.cpp Python Bindings
Python bindings for llama.cpp
llama-cpp-python provides Python bindings for llama.cpp, enabling the integration of LLaMA (Large Language Model Meta AI) language models into Python applications. This facilitates the use of LLaMA's capabilities in natural language processing tasks within Python environments. -
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llm-ollama
LLM plugin providing access to models running on an Ollama server
llm-ollama is a plugin for the LLM CLI ecosystem that enables seamless access to models hosted on an Ollama server through a unified command-line interface. It automatically discovers available models from the connected Ollama instance and registers them for use within the CLI, making it easy to run prompts, chat sessions, and embedding operations without manual configuration. The plugin supports both local and remote Ollama servers, allowing flexible deployment scenarios ranging from local machines to cloud-hosted environments. It includes support for multimodal inputs such as image attachments, enabling interaction with vision-capable models. The system also integrates tool usage, allowing models to call predefined utilities such as web search and fetch operations to enhance responses. Additionally, it supports structured outputs through JSON schemas and asynchronous execution for advanced workflows. -
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nanobot
đ nanobot: The Ultra-Lightweight Clawdbot / OpenClaw
nanobot is an ultra-lightweight personal AI assistant designed to deliver powerful agent capabilities without unnecessary complexity. Built in just ~4,000 lines of clean, readable code, it offers a minimalist alternative to heavyweight agent frameworks while retaining core intelligence and extensibility. nanobot is optimized for speed and efficiency, enabling fast startup times and low resource usage across environments. Its research-ready architecture makes it easy for developers to understand, customize, and extend for experimentation or production use. With simple one-click deployment and a straightforward CLI, users can get a working AI assistant running in minutes. Inspired by Clawdbot but radically simplified, nanobot proves that capable AI agents donât need massive codebases. -
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openage
Open source clone of the Age of Empires II engine
openage is a free cross-platform RTS game engine that provides the mechanics of Age of Empires. Using modern technologies as C++17, OpenGL/GLSL, Python, Qt5 and CMake allows people using GNU/Linux, BSD, macOS or Windows to play the game natively. Our aim is to make openage a platform for the original Age of Empires games providing the same look and feel, but with more features for modding and multiplayer. openage uses an open API powered by our human-readable configuration language nyan. We implement a client-server architecture with dedicated servers that supports more than 8 players. The overarching system will provide matchmaking, lobbies, server discovery and other community features. openage is a community project that values every contribution, the only requirement is your enthusiasm. Don't hesitate to get in touch with us if you want to help! -
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optillm
Optimizing inference proxy for LLMs
OptiLLM is an optimizing inference proxy for Large Language Models (LLMs) that implements state-of-the-art techniques to enhance performance and efficiency. It serves as an OpenAI API-compatible proxy, allowing for seamless integration into existing workflows while optimizing inference processes. OptiLLM aims to reduce latency and resource consumption during LLM inference. -
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psutil
Cross-platform lib for process and system monitoring in Python
psutil is a widely adopted cross-platform Python library designed to retrieve detailed information about system utilization and running processes in a consistent and programmatic way. It exposes a rich API that allows developers to inspect CPU usage, memory consumption, disk activity, network statistics, and hardware sensors without relying on platform-specific tools. The library effectively replicates and unifies the capabilities of classic UNIX utilities such as ps, top, netstat, and free, making it especially valuable for monitoring, profiling, and process management workflows. Because it supports multiple operating systems including Linux, Windows, macOS, and BSD variants, psutil enables developers to build portable observability tools and automation scripts. It is commonly used in performance dashboards, resource limiters, and infrastructure monitoring agents due to its lightweight footprint and mature ecosystem. -
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pyWhat
Identify emails, IP addresses, and more
pyWhat is a Python-based identification tool designed to figure out âwhatâ a piece of text or file content represents, especially in security and OSINT workflows. Given inputs such as hex strings, URLs, email addresses, IP addresses, credit card numbers, cryptocurrency wallets, or entire .pcap capture files, it scans for structured patterns and tells you what it finds. The tool is recursive: it can traverse files and directories to extract meaningful entities, which is useful when analyzing malware samples, network captures, or code repositories at scale. It offers powerful filters called âtagsâ and distributions that let you narrow results to specific categories like bug bounties, cryptocurrencies, or AWS-related artifacts. For automation and integration, pyWhat provides a CLI with options for rarity filtering, sorting, and JSON export, as well as an API that can be imported into other Python programs. -
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pytube
A lightweight, dependency-free Python library
Pytube is a lightweight, dependency-free Python library that enables downloading YouTube videos and audio streams with minimal setup. It supports video resolution selection, progressive or adaptive streams, and caption downloads. Pytube is ideal for automation scripts, archiving tools, and media applications that need to interface with YouTube content programmatically. -
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spaCy models
Models for the spaCy Natural Language Processing (NLP) library
spaCy is designed to help you do real work, to build real products, or gather real insights. The library respects your time, and tries to avoid wasting it. It's easy to install, and its API is simple and productive. spaCy excels at large-scale information extraction tasks. It's written from the ground up in carefully memory-managed Cython. If your application needs to process entire web dumps, spaCy is the library you want to be using. Since its release in 2015, spaCy has become an industry standard with a huge ecosystem. Choose from a variety of plugins, integrate with your machine learning stack and build custom components and workflows. -
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stable-diffusion-videos
Create videos with Stable Diffusion
Create videos with Stable Diffusion by exploring the latent space and morphing between text prompts. Try it yourself in Colab. -
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v2rayL
v2ray linux GUI
V2Ray is a tool under Project V. Project V includes a series of tools to help you create your own customized network system. And V2Ray belongs to the core one. Simply put, V2Ray is a proxy software similar to Shadowsocks, but has more advantages than Shadowsocks.v2ray linux client, using pyqt5 to write GUI interface, the core is based on v2ray-core (v2ray-linux-64) vmess supports websocket, mKcp, and tcp. There may be some bugs in the current program, but they have not been tested. If you find bugs during use, please submit them in issue for improvement. Add subscription address, automatically parse and display available VPN. Set up auto-renewing subscriptions, change addresses. Supported protocols: vmess, shadowsocks. -
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virtualenv
Virtual Python environment builder
virtualenv is a tool to create isolated Python environments. Since Python 3.3, a subset of it has been integrated into the standard library under the venv module. It creates an environment that has its own installation directories, that doesnât share libraries with other virtualenv environments (and optionally doesnât access the globally installed libraries either). The basic problem being addressed is one of dependencies and versions, and indirectly permissions. Imagine you have an application that needs version 1 of LibFoo, but another application requires version 2. How can you use both these libraries? If you install everything into your host python (e.g. python3.8) itâs easy to end up in a situation where two packages have conflicting requirements. -
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waitress
A WSGI server for Python 3
Waitress is meant to be a production-quality pure-Python WSGI server with very acceptable performance. It has no dependencies except ones which live in the Python standard library. It runs on CPython on Unix and Windows under Python 3.7+. It is also known to run on PyPy 3 (python version 3.7+) on UNIX. It supports HTTP/1.0 and HTTP/1.1. Waitress now validates that chunked encoding extensions are valid, and don't contain invalid characters that are not allowed. They are still skipped/not processed, but if they contain invalid data we no longer continue in and return a 400 Bad Request. This stops potential HTTP desync/HTTP request smuggling. -
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Unique finds patterns in source code. It helps you build better software by finding pieces of code that could benefit from a refactoring.
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IdleX - IDLE Extensions for Python
IDLE Extensions
A collection of extensions for Python's IDLE, the Python IDE built with the tkinter GUI toolkit.
