Open Source Python Software - Page 56
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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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fpdf2
Simple PDF generation for Python
fpdf2 is a library for simple & fast PDF document generation in Python. It is a fork and the successor of PyFPDF. Compared with other PDF libraries, fpdf2 is fast, versatile, easy to learn and to extend (example). It is also entirely written in Python and has very few dependencies: Pillow, defusedxml, & fontTools. It is a fork and the successor of PyFPDF. -
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gpt-engineer
Full stack AI software engineer
gpt-engineer is an open-source platform designed to help developers automate the software development process using natural language. The platform allows users to specify software requirements in plain language, and the AI generates and executes the corresponding code. It can also handle improvements and iterative development, giving users more control over the software they’re building. Built with a terminal-based interface, gpt-engineer is customizable, enabling developers to experiment with AI-assisted programming and refine their development process. It is especially useful for automating the coding and iterative feedback loop in software development. -
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jetson-stats
Simple package for monitoring and control your NVIDIA Jetson
jetson_stats is a Python package for monitoring and controlling NVIDIA Jetson boards. It supports Jetson platforms such as Orin, Xavier, Nano, TX, and newer Jetson families. The project includes jtop, a terminal-based dashboard that gives users a live view of CPU, GPU, memory, power, temperature, engine usage, and system status. It can also be imported into Python scripts, which makes it useful for custom monitoring, robotics dashboards, automation, and diagnostics. Developers working with embedded AI systems can use it to understand performance limits and troubleshoot hardware behavior during deployment. Its main value is giving Jetson users a practical, readable, and scriptable view of board health and resource usage. -
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jlens
Companion code for the global workspace interpretability paper
Jacobian Lens is Anthropic’s reference implementation for examining what a language model’s 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 model’s 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 model’s 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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marimo
A reactive notebook for Python
marimo is an open-source reactive notebook for Python, reproducible, git-friendly, executable as a script, and shareable as an app. marimo notebooks are reproducible, extremely interactive, designed for collaboration (git-friendly!), deployable as scripts or apps, and fit for modern Pythonista. Run one cell and marimo reacts by automatically running affected cells, eliminating the error-prone chore of managing the notebook state. marimo's reactive UI elements, like data frame GUIs and plots, make working with data feel refreshingly fast, futuristic, and intuitive. Version with git, run as Python scripts, import symbols from a notebook into other notebooks or Python files, and lint or format with your favorite tools. You'll always be able to reproduce your collaborators' results. Notebooks are executed in a deterministic order, with no hidden state, delete a cell and marimo deletes its variables while updating affected cells. -
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parallel-ssh
Asynchronous parallel SSH client library.
parallel-ssh is an asynchronous parallel SSH library designed for large-scale automation. It differentiates itself from alternatives, other libraries and higher-level frameworks like Ansible or Chef in several ways. -
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pip-tools
A set of tools to keep your pinned Python dependencies fresh
pip-tools enhances Python dependency management by providing pip-compile and pip-sync commands. It transforms human-friendly requirements.in into fully pinned requirements.txt, ensuring reproducible environments. It also resolves transitive dependencies and synchronizes your environment with pinned versions. Widely used in both development and CI workflows, it boosts reliability and eliminates drift in deployed setups. -
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pwndbg
Exploit Development and Reverse Engineering with GDB Made Easy
Pwndbg is a fast, simple and lightweight tool for modern debugging. It improves debugging experience with the strength of GDB for low-level software developers, hardware hackers, reverse engineers, and exploit developers. It provides features crucial for efficient debugging in the world of low-level programming. Vanilla GDB is terrible to use for reverse engineering and exploit development. Typing x/g30x $esp is not fun, and does not confer much information. The year is 2024 and GDB still lacks a real hexdump command! GDB's syntax is arcane and difficult to approach. Windbg users are completely lost when they occasionally need to bump into GDB. -
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pydictor
powerful and useful hacker dictionary builder for a brute-force attack
A powerful and useful hacker dictionary builder for a brute-force attack. You can use pydictor to generate a general blast wordlist, a custom wordlist based on Web content, a social engineering wordlist, and so on; You can use the pydictor built-in tool to safe delete, merge, unique, merge and unique, count word frequency to filter the wordlist, besides, you also can specify your wordlist and use '-tool handler' to filter your wordlist. You can generate highly customized and complex wordlists by modifying multiple configuration files, adding your own dictionary, using leet mode, filter by length, char occur times, types of different char, regex, and even add customized encode scripts in /lib/encode/ folder, add your own plugin script in /plugins/ folder, add your own tool script in /tools/ folder. -
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pyinfra
pyinfra turns Python code into shell commands
pyinfra is a high-performance infrastructure automation and configuration management framework that uses Python instead of YAML to define deployments and operational workflows. The system converts Python code into shell commands and executes them across servers, Docker containers, and local machines through an agentless architecture. Designed as an alternative to tools like Ansible, pyinfra prioritizes speed, scalability, and developer flexibility while maintaining a declarative operational model. It supports ad-hoc command execution, reusable operations, inventory management, and parallel deployments across thousands of hosts. The framework integrates naturally with existing DevOps ecosystems and allows users to create highly customizable deployment logic using native Python syntax. Its architecture combines infrastructure-as-code concepts with efficient remote execution, making it suitable for modern cloud and server automation workflows. -
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reg-factory
Google Mail registration
reg-factory is an automation-oriented account registration pipeline aimed at research, testing, and controlled platform workflow experiments. It combines browser automation, environment-based configuration, and a local web control panel to run multi-step registration scripts. The project includes modules for email registration, platform sign-up flows, token handling, cookie export, and account workflow management. It uses local scripts and external tool integrations to coordinate browser profiles, network settings, Android-based Gmail workflows, and runtime logs. The included panel helps users launch scripts, fill parameters, monitor tool status, and review process output from one place. Because the project touches sensitive account-creation workflows, it should only be used in authorized, compliant, and non-abusive testing environments. -
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snorkel
A system for quickly generating training data with weak supervision
The Snorkel team is now focusing their efforts on Snorkel Flow, an end-to-end AI application development platform based on the core ideas behind Snorkel. The Snorkel project started at Stanford in 2016 with a simple technical bet: that it would increasingly be the training data, not the models, algorithms, or infrastructure, that decided whether a machine learning project succeeded or failed. Given this premise, we set out to explore the radical idea that you could bring mathematical and systems structure to the messy and often entirely manual process of training data creation and management, starting by empowering users to programmatically label, build, and manage training data. Snorkel Flow, an end-to-end machine learning platform for developing and deploying AI applications. Snorkel Flow incorporates many of the concepts of the Snorkel project with a range of newer techniques around weak supervision modeling, data augmentation, multi-task learning, data slicing and structuring. -
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sticker-convert
Convert (animated) stickers to/from WhatsApp, Telegram, Signal
sticker-convert is a utility tool designed to convert sticker packs between formats used by messaging platforms such as WhatsApp and Telegram. It simplifies the process of adapting sticker files, including image formats, animations, and metadata. The tool supports batch conversion, making it efficient for handling entire sticker collections. It is particularly useful for users and developers who want to migrate or reuse sticker assets across platforms. The project automates resizing, format conversion, and packaging requirements. Its design prioritizes ease of use and compatibility with popular messaging ecosystems. It enables seamless sharing and reuse of creative assets. -
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synergy-stable-builds
Share one mouse, one keyboard and one clipboard between your computers
Synergy combines your desktop devices together in to one cohesive experience. It's software for sharing your mouse and keyboard between multiple computers on your desk. It works on Windows, Mac OS X and Linux. -
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tccutil.py
Command line tool to modify OS X's accessibility database (TCC.db)
Apple has a utility in /usr/bin named tccutil, but it only supports one command, which is to reset the entire database. It has been like this for many versions of macOS. I wanted a command-line utility that would be able to add, remove, list, and take other actions. This tool needs SIP disabled in order to function. The risk of doing so is up to you. tccutil.py can be installed without any additional software. Depending how you have your $PATH variable setup, you can simply type tccutil (instead of the full path) and it will run this utility instead of Apple's. This utility needs super-user priveleges for most operations. It is important that you either run this as root or use sudo, otherwise it won't work and you will end up with “permission denied” errors. -
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text_renderer
Generate text images for training deep learning ocr model
Text Renderer is a Python utility for generating synthetic text images used to train optical character recognition models. It supports Latin and non-Latin writing systems and produces matching labels alongside the generated images. Users can supply their own corpora, fonts, character sets, backgrounds, and YAML configuration files. Available effects include perspective distortion, random cropping, curved text, borders, variable spacing, lines, embossing, color changes, inversion, and blur. A strict mode retries samples until the selected font supports every required character, which is useful for Chinese and other large character sets. Font-checking and debug tools help identify unsupported glyphs and visualize bounding or rotated boxes. Optional CUDA-enabled OpenCV processing can accelerate generation, although the repository points users to a newer successor project. -
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tinfoleak
OSINT tool for extracting and analyzing Twitter intelligence data
tinfoleak is an open source intelligence (OSINT) and social media intelligence (SOCMINT) tool designed to automate the collection and analysis of data from Twitter. It focuses on helping analysts extract large volumes of information from Twitter timelines using identifiers such as usernames, geographic coordinates, or keywords. Once the data is gathered, tinfoleak organizes it into structured information that can support intelligence analysis and investigative research. tinfoleak is capable of analyzing user activity, relationships, and behavioral patterns to reveal insights about accounts and their interactions on the platform. It also processes content such as hashtags, mentions, media files, and metadata to identify trends and relevant connections. Additional analysis features help uncover geolocation information, visited places, and user movement patterns when location data is available. -
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torchvision
Datasets, transforms and models specific to Computer Vision
The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision. We recommend Anaconda as Python package management system. Torchvision currently supports Pillow (default), Pillow-SIMD, which is a much faster drop-in replacement for Pillow with SIMD, if installed will be used as the default. Also, accimage, if installed can be activated by calling torchvision.set_image_backend('accimage'), libpng, which can be installed via conda conda install libpng or any of the package managers for debian-based and RHEL-based Linux distributions, and libjpeg, which can be installed via conda conda install jpeg or any of the package managers for debian-based and RHEL-based Linux distributions. It supports libjpeg-turbo as well. libpng and libjpeg must be available at compilation time in order to be available. TorchVision also offers a C++ API that contains C++ equivalent of python models. -
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ty
An extremely fast Python type checker and language server
ty is an extremely fast Python type checker and language server built in Rust, designed to provide highly responsive and accurate static analysis for modern Python development workflows. It is positioned as a next-generation alternative to tools such as mypy and Pyright, offering significantly faster performance through incremental analysis and optimized execution. The tool is designed from the ground up to power editor integrations, enabling real-time feedback as developers write code with minimal latency. ty includes advanced type system capabilities such as intersection types, improved type inference, and detailed diagnostics that help identify issues even in partially typed codebases. It supports integration with multiple development environments through its language server implementation, providing features like code navigation, auto-completion, and inline hints. -
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uAgents
A fast and lightweight framework for creating decentralized agents
uAgents is a library developed by Fetch.ai that allows for creating autonomous AI agents in Python. With simple and expressive decorators, you can have an agent that performs various tasks on a schedule or takes action on various events. -
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uqlm
Uncertainty Quantification for Language Models, is a Python package
UQLM is a Python library developed to detect hallucinations and quantify uncertainty in the outputs of large language models. The system implements a variety of uncertainty quantification techniques that assign confidence scores to model responses. These scores help developers determine how likely a generated answer is to contain errors or fabricated information. The library includes both black-box and white-box approaches to uncertainty estimation. Black-box methods evaluate model outputs through multiple generations or comparative analysis, while white-box methods rely on token probabilities produced during inference. UQLM also supports ensemble strategies and model-as-judge approaches for evaluating responses. By combining multiple uncertainty metrics, the system provides more reliable indicators of when language model outputs may be unreliable. -
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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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xAI Python SDK
The official Python SDK for the xAI API
xAI Python SDK is the official Python library for building applications with xAI’s APIs. It is a gRPC-based SDK designed for Python 3.10 and above, with both synchronous and asynchronous clients for different application styles. Developers can use it to generate text, images, videos, and structured outputs through xAI’s model services. The package is built for direct integration into Python projects, making it useful for backend apps, automation scripts, AI tools, research prototypes, and production workflows. It uses xAI’s native gRPC interface, which is intended for high-performance communication with the API. The SDK is especially useful for developers who want a first-party, Python-native way to work with Grok and related xAI services without manually handling low-level API calls. -
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yesitsme
Simple OSINT script to find Instagram profiles by name
yesitsme is a Python-based OSINT utility designed to help investigators identify potential Instagram accounts associated with a specific person using limited identifying data. The script works by querying indexed public information and comparing obfuscated email addresses and phone numbers against user-provided inputs to estimate match confidence. It is intended to automate a time-consuming manual investigation process by aggregating candidate usernames and classifying them into match levels such as high, medium, or low. The tool requires an Instagram session cookie to operate and includes configurable timeout controls to help avoid detection or rate limiting during searches. Its minimal codebase and straightforward command-line interface make it accessible for researchers, security analysts, and digital investigators performing social media intelligence work.
