Open Source Python Software - Page 37

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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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  • 1
    SDGym

    SDGym

    Benchmarking synthetic data generation methods

    The Synthetic Data Gym (SDGym) is a benchmarking framework for modeling and generating synthetic data. Measure performance and memory usage across different synthetic data modeling techniques – classical statistics, deep learning and more! The SDGym library integrates with the Synthetic Data Vault ecosystem. You can use any of its synthesizers, datasets or metrics for benchmarking. You also customize the process to include your own work. Select any of the publicly available datasets from the SDV project, or input your own data. Choose from any of the SDV synthesizers and baselines. Or write your own custom machine learning model. In addition to performance and memory usage, you can also measure synthetic data quality and privacy through a variety of metrics. Install SDGym using pip or conda. We recommend using a virtual environment to avoid conflicts with other software on your device.
    Downloads: 5 This Week
    Last Update:
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  • 2
    SSH-MITM

    SSH-MITM

    Server for security audits supporting public key authentication

    ssh man-in-the-middle (ssh-mitm) server for security audits supporting publickey authentication, session hijacking and file manipulation. SSH-MITM is a man in the middle SSH Server for security audits and malware analysis. Password and publickey authentication are supported and SSH-MITM is able to detect, if a user is able to login with publickey authentication on the remote server. This allows SSH-MITM to accept the same key as the destination server. If publickey authentication is not possible, the authentication will fall back to password-authentication. When publickey authentication is possible, a forwarded agent is needed to login to the remote server. In cases, when no agent was forwarded, SSH-MITM can rediredt the session to a honeypot.
    Downloads: 5 This Week
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  • 3
    Saleor

    Saleor

    Customer-centric e-commerce on a modern stack

    Saleor is one of the fastest growing open source e-commerce platforms, built to deliver ultra-fast, dynamic and personalized shopping experiences. Built with Python, Django, GraphQL, and ReactJS, Saleor is modular and highly performant. With a GraphQL API and headless commerce, you can build beautiful, customized online stores anywhere on any device using the latest technology. Saleor gives you great flexibility, with options for building your front-end how you want, and seamless integrations with accounting and inventory systems. It’s also global-ready, able to automatically localize pricing, language and even checkout experience by country. See a Saleor storefront in action at https://pwa.saleor.io/ or get a glimpse of the admin dashboard here: https://pwa.saleor.io/dashboard/. Use login credentials: admin@example.com/admin
    Downloads: 5 This Week
    Last Update:
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  • 4
    Scout Suite

    Scout Suite

    Multi-cloud security auditing tool

    Scout Suite is an open-source multi-cloud security-auditing tool, which enables security posture assessment of cloud environments. Using the APIs exposed by cloud providers, Scout Suite gathers configuration data for manual inspection and highlights risk areas. Rather than going through dozens of pages on the web consoles, Scout Suite presents a clear view of the attack surface automatically. Scout Suite was designed by security consultants/auditors. It is meant to provide a point-in-time security-oriented view of the cloud account it was run in. Once the data has been gathered, all users may be performed offline. Our self-service cloud account monitoring platform, NCC Scout, is a user-friendly SaaS providing you with the ability to constantly monitor your public cloud accounts, allowing you to check they’re configured to comply with industry best practice.
    Downloads: 5 This Week
    Last Update:
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    ScrapeGraphAI

    ScrapeGraphAI

    Python scraper based on AI

    Extracting content from websites and local documents using LLM. ScrapeGraphAI is a web scraping python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.). Just say which information you want to extract and the library will do it for you.
    Downloads: 5 This Week
    Last Update:
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  • 6
    Scrapling

    Scrapling

    An adaptive Web Scraping framework

    Scrapling is an adaptive web scraping framework designed to handle everything from a single HTTP request to large-scale, concurrent crawls. Built for modern websites, it intelligently adapts to structural changes by automatically relocating elements when page layouts update. The framework includes advanced fetchers capable of bypassing anti-bot protections such as Cloudflare Turnstile using stealth and browser automation techniques. Its powerful spider system supports multi-session crawling, pause and resume functionality, and real-time streaming of scraped data. Scrapling combines high performance, memory efficiency, and extensive async support to deliver blazing-fast scraping workflows. With a developer-friendly API, CLI tools, MCP server integration for AI-assisted extraction, and Docker support, it offers a complete solution for modern web scrapers.
    Downloads: 5 This Week
    Last Update:
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  • 7
    Search with Lepton

    Search with Lepton

    Lightweight demo to build a conversational AI search engine quickly

    Search with Lepton is an open source demonstration project that shows how to build a conversational search engine using the Lepton AI framework. It combines traditional web search with large language models to provide natural language answers to user queries. It retrieves information from supported search engines and uses that context to generate responses through a retrieval-augmented generation approach. The implementation is intentionally minimal, containing fewer than 500 lines of code while still providing a complete working example of an AI-powered search system. It includes both a backend service written in Python and a web interface that allows users to interact with the search engine in a conversational format. Developers can configure different search providers and language models through environment variables, making it flexible for experimentation and prototyping.
    Downloads: 5 This Week
    Last Update:
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  • 8
    SimpleLogin

    SimpleLogin

    The SimpleLogin back-end

    With email aliases, you can be anonymous online and protect your inbox against spams and phishing. Open-source. Made and hosted in Europe. Receive and send emails anonymously. Next time a website asks for your email address, give an alias instead of your real email. Emails sent to an alias are instantly forwarded to your inbox without the sender knowing anything. Just hit "Reply" if you want to reply to a forwarded email: the reply is sent from your alias and your real email stays hidden. You can also easily send emails from your alias. Quickly create an alias on the go. Sign up for a newsletter, create a new online account with a click. Built upon open-source technology, all SimpleLogin components are also open-source. Not only can an alias receive emails, it can also send emails. An alias is a full-fledged email address. Manage your aliases on SimpleLogin website or on our Chrome, Firefox, Safari extensions.
    Downloads: 5 This Week
    Last Update:
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  • 9
    SiteDorks

    SiteDorks

    Automate search engine dorking across hundreds of websites

    SiteDorks is a command line tool designed to automate advanced search queries across multiple search engines and websites. It allows users to perform search engine “dork” queries against a large set of predefined domains, making it easier to discover publicly available information across different platforms. SiteDorks supports several major search engines including Google, Bing, Brave, Ecosia, DuckDuckGo, Yahoo, and Yandex. Instead of manually running the same query for many sites, SiteDorks generates and executes the queries automatically using lists of “dorkable” websites. A built-in dataset contains hundreds of websites grouped into categories such as cloud services, developer platforms, documentation sites, social platforms, and communication tools. Users can also supply custom domain lists or CSV files to tailor searches for tasks like penetration testing, bug bounty research, or OSINT investigations.
    Downloads: 5 This Week
    Last Update:
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  • 10
    Smart Money Concepts

    Smart Money Concepts

    Discover our Python package designed for algorithmic trading

    Smart Money Concepts is a Python library that implements advanced trading indicators based on the “Smart Money Concepts” methodology, which focuses on institutional market behavior and price action analysis. It is designed for algorithmic traders and quantitative analysts who want to incorporate professional trading strategies into automated systems. The library processes structured OHLC or OHLCV market data and computes indicators such as fair value gaps, order blocks, liquidity zones, and market structure changes. These indicators are inspired by ICT trading principles and are used to identify trends, reversals, and potential entry or exit points in financial markets. The system is modular, allowing users to combine different indicators and integrate them into backtesting frameworks or live trading bots. It is particularly useful for traders working in forex, crypto, or equities who rely on price action rather than traditional indicators.
    Downloads: 5 This Week
    Last Update:
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  • 11
    Strix

    Strix

    Open-source AI hackers to find and fix your app’s vulnerabilities

    Strix is an open source agent-driven security platform that uses autonomous AI agents to identify, investigate, and validate vulnerabilities in software applications. The system is designed to mimic the behavior of real attackers by executing dynamic testing and verifying findings through proof-of-concept exploitation. Unlike traditional vulnerability scanners that rely heavily on static analysis, Strix agents actively run code, probe systems, and attempt exploitation to confirm whether vulnerabilities are genuinely exploitable. The platform is intended for developers and security teams that need rapid security assessments without the overhead of manual penetration testing engagements. Strix can orchestrate multiple cooperating agents that divide investigation tasks and collaboratively analyze complex applications or infrastructure.
    Downloads: 5 This Week
    Last Update:
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  • 12
    SurfSense

    SurfSense

    Connect any LLM to your internal knowledge sources

    SurfSense is an open-source AI research and knowledge assistant platform that connects any large language model to internal knowledge sources so teams and individuals can explore, query, and collaborate on insights in real time. Built as an alternative to proprietary tools like NotebookLM, Perplexity, and Glean, SurfSense allows integrations with a wide range of external data sources including Slack, Notion, Google Drive, GitHub, YouTube, and many enterprise systems, making it possible to interact with documents, chat logs, and structured data using natural language. Team collaboration is a core focus, with real-time shared chats, role-based access control, and comment threads enabling organized workflows. The platform also supports advanced retrieval augmented generation (RAG) capabilities, enabling powerful search and citation features that help answer questions with contextually relevant data.
    Downloads: 5 This Week
    Last Update:
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  • 13
    TOML

    TOML

    Tom Preston-Werner's obvious, minimal language

    Tom's Obvious, Minimal Language. By Tom Preston-Werner, Pradyun Gedam, et al. TOML aims to be a minimal configuration file format that's easy to read due to obvious semantics. TOML is designed to map unambiguously to a hash table. TOML should be easy to parse into data structures in a wide variety of languages. TOML shares traits with other file formats used for application configuration and data serialization, such as YAML and JSON. TOML and JSON both are simple and use ubiquitous data types, making them easy to code for or parse with machines. TOML and YAML both emphasize human readability features, like comments that make it easier to understand the purpose of a given line. TOML differs in combining these, allowing comments (unlike JSON) but preserving simplicity (unlike YAML). Because TOML is explicitly intended as a configuration file format, parsing it is easy, but it is not intended for serializing arbitrary data structures.
    Downloads: 5 This Week
    Last Update:
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  • 14
    The Arcade Library

    The Arcade Library

    Easy to use Python library for creating 2D arcade games

    Arcade is an easy-to-use Python library for creating 2D video games. It provides a modern and straightforward API, enabling developers to craft engaging games and graphical applications efficiently. Arcade supports rendering shapes, handling user input, and managing game physics, making it suitable for both beginners and experienced developers.
    Downloads: 5 This Week
    Last Update:
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  • 15
    TradingView Chart Data Extractor

    TradingView Chart Data Extractor

    Extract price and indicator data from TradingView charts

    Ensure that you zoom/pan such that the oldest date you desire is visible on TradingView before publishing the chart. Too many indicators or too low a time resolution will increase the data points and potentially overload the free server. Avoid this by hosting/running the script on your local machine or scraping multiple times with fewer indicators and manually combining the CSV afterward. Simply append the URL of a chart/idea published on TradingView to the link below. This is not the URL of a security's chart, but the URL for a user-published chart.
    Downloads: 5 This Week
    Last Update:
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  • 16
    Trape

    Trape

    OSINT tool for tracking users and analyzing browser data online

    Trape is an open source OSINT analysis and research tool designed to track and analyze users on the internet in real time. The project focuses on demonstrating how web browsers can reveal sensitive information about users while interacting with websites and online services. It provides researchers, security professionals, and organizations with a platform for studying how attackers could gather intelligence through social engineering techniques. The tool can clone websites and monitor interactions in order to collect data from visitors, allowing investigators to observe user behavior and session activity. Trape was originally created to educate the public about how large internet services may obtain confidential information such as session status or browser details without users realizing it. Over time, it has evolved into a research platform that helps analysts track cybercriminal activity and study online tracking mechanisms.
    Downloads: 5 This Week
    Last Update:
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  • 17
    VibeVoice ComfyUI

    VibeVoice ComfyUI

    ComfyUI integration for Microsoft's VibeVoice text-to-speech model

    VibeVoice ComfyUI is a comprehensive wrapper that integrates Microsoft’s VibeVoice text-to-speech models directly into ComfyUI workflows. It exposes VibeVoice as a set of custom nodes so you can build single-speaker and multi-speaker voice generation pipelines visually, combining TTS with other audio or generative components. The integration supports high-quality single-speaker synthesis as well as scripted multi-speaker conversations, with optional voice cloning from audio samples for each speaker. It includes advanced control over generation parameters like attention backend, diffusion steps, sampling temperature, guidance scale, and quantization settings, allowing users to tune the trade-offs between quality, VRAM usage, and speed. The project also introduces first-class LoRA support, making it possible to fine-tune and load custom LoRA adapters that modify voice identity or style while keeping the base VibeVoice model intact.
    Downloads: 5 This Week
    Last Update:
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  • 18
    Watermark-Removal

    Watermark-Removal

    Machine learning image inpainting task that removes watermarks

    Watermark-Removal repository is a machine learning project focused on removing visible watermarks from digital images using deep learning and image inpainting techniques. The system analyzes an image containing a watermark and attempts to reconstruct the underlying visual content so that the watermark is removed while preserving the original appearance of the image. The project uses neural network models inspired by research in contextual attention and gated convolution, which are methods commonly applied to image restoration tasks. Through these techniques, the model learns to identify regions of the image affected by the watermark and generate realistic replacements for the missing visual information. The repository contains code for preprocessing images, training the model, and running inference on images to automatically remove watermark artifacts.
    Downloads: 5 This Week
    Last Update:
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  • 19
    Weibo Crawler

    Weibo Crawler

    Python crawler for collecting and downloading Sina Weibo user data

    weibo-crawler is a Python-based data collection tool designed to retrieve information from Sina Weibo user accounts. It automates the process of gathering posts, user profile details, and engagement metrics from one or more target accounts. weibo-crawler can extract comprehensive information about users, including profile attributes such as nickname, follower count, following count, and account metadata. It also captures detailed data about each post, including the content, publishing time, topics, mentions, likes, reposts, and comments. In addition to textual data, the project can download original media from posts, such as images, videos, and Live Photo content. Collected data can be exported to structured formats such as CSV or JSON or stored in databases for further analysis and research. It supports incremental crawling so users can periodically collect only newly published posts, making it useful for ongoing monitoring or dataset updates.
    Downloads: 5 This Week
    Last Update:
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  • 20
    WhatBreach

    WhatBreach

    OSINT tool for discovering email addresses in known data breaches

    WhatBreach is an open source OSINT (Open Source Intelligence) tool designed to help users discover whether an email address has appeared in known data breaches. It simplifies the process of investigating compromised credentials by allowing users to search for a single email address or analyze multiple email addresses at once. It gathers breach information from various sources and APIs to identify where the email has been exposed in leaked databases or online paste sites. Once breaches are discovered, WhatBreach can provide additional context such as the databases associated with those leaks and any related paste dumps containing the email address. If the breach databases are publicly available, the tool can attempt to download them for further analysis. It also supports deeper investigation of email domains and related profiles, making it useful for researchers, security analysts, and penetration testers conducting reconnaissance or breach analysis.
    Downloads: 5 This Week
    Last Update:
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  • 21
    Yukki Music Bot

    Yukki Music Bot

    Telegram Group Calls Streaming bot with some useful features

    Yukki Music Bot is a Powerful Telegram Music+Video Bot written in Python using Pyrogram and Py-Tgcalls by which you can stream songs, video and even live streams in your group calls via various sources.
    Downloads: 5 This Week
    Last Update:
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  • 22
    ZeroNet

    ZeroNet

    Decentralized websites using Bitcoin crypto and BitTorrent network

    Open, free and uncensorable websites, using Bitcoin cryptography and BitTorrent network. Your content distributed directly to other visitors without any central server. Uncensored: It's nowhere because it's everywhere! No hosting costs: Sites are served by visitors. Always accessible: No single point of failure. No configuration needed: Download, unpack and start using it. Decentralized domains using Namecoin cryptocurrency. Your account is protected by the same cryptography as your Bitcoin wallet. Page response time is not limited by your connection speed. Real-time updated, multi-user websites. Supports any modern browser on Windows, Linux or Mac platforms. You can easily hide your IP address using the Tor network. Browse the sites you're seeding even if your internet connection is down. Developed by the community for the community. We believe in open, free, and uncensored network and communication.
    Downloads: 5 This Week
    Last Update:
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  • 23
    cnn-benchmarks

    cnn-benchmarks

    Benchmarks for popular CNN models

    The cnn-benchmarks project is a collection of benchmarking scripts designed to evaluate the performance of convolutional neural networks across different hardware and configurations. It provides standardized implementations of popular CNN architectures, enabling developers to measure training speed, memory usage, and computational efficiency. The project focuses on reproducibility, allowing consistent comparisons between models and environments. It is particularly useful for testing GPUs and optimizing deep learning workloads, as it highlights bottlenecks and performance differences across setups. The repository includes scripts for running benchmarks on various architectures and datasets, making it easy to gather comparative metrics. By simplifying performance evaluation, it helps developers make informed decisions about model design and hardware selection. Overall, cnn-benchmarks is a practical tool for performance analysis in deep learning workflows.
    Downloads: 5 This Week
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  • 24
    cognee

    cognee

    Deterministic LLMs Outputs for AI Applications and AI Agents

    Cognee implements scalable, modular data pipelines that allow for creating the LLM-enriched data layer using graph and vector stores. Cognee acts a semantic memory layer, unveiling hidden connections within your data and infusing it with your company's language and principles. This self-optimizing process ensures ultra-relevant, personalized, and contextually aware LLM retrievals. Any kind of data works; unstructured text or raw media files, PDFs, tables, presentations, JSON files, and so many more. Add small or large files, or many files at once. We map out a knowledge graph from all the facts and relationships we extract from your data. Then, we establish graph topology and connect related knowledge clusters, enabling the LLM to "understand" the data.
    Downloads: 5 This Week
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  • 25
    huggingface_hub

    huggingface_hub

    The official Python client for the Huggingface Hub

    The huggingface_hub library allows you to interact with the Hugging Face Hub, a platform democratizing open-source Machine Learning for creators and collaborators. Discover pre-trained models and datasets for your projects or play with the thousands of machine-learning apps hosted on the Hub. You can also create and share your own models, datasets, and demos with the community. The huggingface_hub library provides a simple way to do all these things with Python.
    Downloads: 5 This Week
    Last Update:
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