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Showing 1270 open source projects for "so"
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Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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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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This app was made/ is being developed for the students of my college by me to make them easy to view their own college progress data like Attendance, Notice from college, Fee due, etc (Attendance for now, wait for updates in future). I am working alone on this project so expect slow updates.
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Python Handout
Turn Python scripts into handouts with Markdown and figures
...Handout supports embedding executable exercises where learners can type code, run it in place, and receive immediate feedback inline; it also integrates seamlessly with charting libraries so that data visualizations can be interactive rather than static. With customizable styling and extension hooks, authors can tailor the interactive elements to match the look and feel of their content. -
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SkyWater PDK
Open source process design kit for usage with SkyWater Technology
...It provides the essential artifacts for digital and analog flows: SPICE models, DRC/LVS rules, extraction decks, and technology files for open tools like Magic and KLayout. Standard-cell libraries and IO pads are included so digital designers can use open synthesis and place-and-route to reach a manufacturable GDS. Because the PDK is open, it becomes a common target for community reference designs, open tapeouts, and teaching curricula. Documentation and example flows show how to assemble complete toolchains, from RTL to sign-off, using open EDA components. ... -
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Nyaa.si Batch Uploader
Mass upload torrents to normal and sukebe versions of Nyaa.si
Note: I am NOT the coder for this software but the only client of the one who coded this in 2017 from a forum, and I have not heard back from him since. So regarding help on this I will do the best that I can... This software will let you upload torrents to nyaa.si and sukebe.nyaa.si in batch quantities instead of manually doing one by one. -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no 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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Terminal File Encrypter
Command Line File Encrypter / Decrypter, Using AES256-CBC Cryptography
...To Uninstall - Open CMD / Terminal window, first type "pip3 list" without quotes. You Should See Terminal File Encrypter listed. Please Note pip3 may list the name differently for example it may have underscores, etc in the name. If so to uninstall you will need to type in the way it shows in the list. Type "pip3 uninstall Terminal File Encrypter" without quotes. -
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API Correios
API correios.com.br in Python
...The library abstracts the raw SOAP or REST endpoints exposed by Correios, providing Pythonic methods to perform common tasks like tracking a package by its code or computing shipping cost/lead time between postal codes. It handles serialization and mapping of API responses into Python objects so developers don’t manually parse raw XML or JSON. With this tool, developers building Brazilian market e-commerce or logistics solutions can integrate postal services smoothly. Because it is open source, improvements can be contributed to support new endpoints, changes in the postal service API, or additional features like caching or async requests. -
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micrograd
A tiny scalar-valued autograd engine and a neural net library
...On top of the core autograd “Value” concept, the project includes a small neural network library that lets you define and train simple models with a PyTorch-like feel, including multilayer perceptrons. The repository is intentionally compact and readable, prioritizing clarity over performance so learners can follow every step of gradient flow and parameter updates. It is commonly used as a learning bridge between basic calculus intuition and full-scale deep learning frameworks, helping developers understand why autodiff libraries behave the way they do. -
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Pinject
A pythonic dependency injection library
...Instead of global singletons, you declare providers (bindings) that describe how to construct objects, and Pinject resolves the graph by inspecting call signatures. Its container supports constructor injection and fine-grained scoping so you can share expensive resources while keeping tests isolated. The library leans on Python’s introspection to minimize boilerplate, making it natural to adopt in codebases that already rely on type hints or keyword arguments. Because bindings are just Python functions and classes, refactoring remains straightforward and the DI graph is easy to reason about. ... -
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CQ Games Project
Play a selection of Games including classics and originals!
Play Hangman, Battleships, Snake, a totally original Role-Playing Game (RPG) and Puzzle Games. Certain games can be played against an AI, with two players locally, or with increasing levels of difficulty! This honestly had hundreds of hours of development so i hope you enjoy! Python 3 required to play. -
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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Zappa
Serverless Python
...If the queue of incoming requests grows too large, some requests will time out. With Zappa, each request is given its own virtual HTTP "server" by Amazon API Gateway. AWS handles the horizontal scaling automatically, so no requests ever time out. Each request then calls your application from a memory cache in AWS Lambda and returns the response via Python's WSGI interface. After your app returns, the "server" dies. -
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FuzzyWuzzy
Fuzzy string matching in Python
We’ve made it our mission to pull in event tickets from every corner of the internet, showing you them all on the same screen so you can compare them and get to your game/concert/show as quickly as possible. Of course, a big problem with most corners of the internet is labeling. One of our most consistently frustrating issues is trying to figure out whether two ticket listings are for the same real-life event (that is, without enlisting the help of our army of interns). -
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Aida Lib
Aida is a language agnostic library for text generation
...The context, represented by the class Ctx, is useful to create rules that depends on what has been written before. Each object or literal that is passed to Aida is remembered by the context. Creating a reference expression is a common use-case, so we have a helper function called create_ref. You can compose operations on your text with some handy operators. -
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hyperjson
Python module for reading/writing JSON data using Rust's serde-json
A hyper-fast, safe Python module to read and write JSON data. Works as a drop-in replacement for Python's built-in json module. This is alpha software and there will be bugs, so maybe don't deploy to production just yet. -
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YanDiSH
Yandex Disk Service Helper
It is a front-end for Yandex Disk Service for Linux. There are some front-ends for this service, but none of them satisfied me. Yandex didn't produce it's own Linux Gui client. So, I decided to do it for myself. Also, it is my first step in Python/PyQt. -
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Baselines
High-quality implementations of reinforcement learning algorithms
...If there was an OpenAI “baselines” repo, it might have contained reference implementations for reinforcement learning or model policy baselines to compare new work against. However, I couldn’t locate an active “openai/baselines” in the latest OpenAI repos, so it may have been archived, removed, or merged into other projects. If you meant a different “baselines” (e.g. OpenAI Baselines for reinforcement learning), I can look up that specific one. -
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PBTK Optimizer
Application for optimization of parameters in PBTK models
...Other parameters can be determined through in-vitro experiments or through extrapolation using published equations. When it is impractical to use these methods to estimate a parameter, techniques can be used to optimize parameters so that model results best fit validation data. This tool was designed to optimize a user-specified list of parameters to a user-specified PBTK model. The user also controls validation data and optimization algorithms. In addition to optimized parameters, the tool outputs statistical information about the fit of the optimized model. -
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cocoNLP
A Chinese information extraction tool
...The project blends pattern-based methods with NLP heuristics, giving developers dependable results for real-world texts like chats, comments, and user-generated content. Its API is intentionally simple, so you can drop it into scripts, ETL jobs, or dashboards without deep ML expertise. Because it aims at utility over complexity, it’s useful for prototyping data products or building lightweight text analytics where large models would be overkill. The repository also includes examples and test snippets to help you understand expected inputs and typical outputs, which shortens the learning curve for newcomers. -
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Dragonfire
The open-source virtual assistant for Ubuntu based Linux distributions
Dragonfire is the open-source virtual assistant project for Ubuntu-based Linux distributions. Her main objective is to serve as a command and control interface to the helmet user. So that you will be able to give orders just by using your voice commands and your eye movements. That makes the helmet handsfree. We are planning to ship Dragonfire as a preinstalled software package on DragonOS Linux Distribution. DragonOS will be a Linux distribution specially designed for the helmet. It will contain various software packages for controlling the helmet. ... -
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Miasm
Reverse engineering framework in Python
...Among them, the SSA/Out-of-SSA transformation, expression propagation and high-level operators can be joined to “lift” Miasm IR to a more human-readable language. We use graphviz to illustrate some graphs. Its layout does not always totally conform with a reverse engineering “ideal view”, so please be tolerant of those odd graphs. Miasm is not the first tool to implement this feature. But, well, as the tool already had everything needed to implement DSE, it was just a matter of time before these features landed in the main branch. -
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VulnX
Intelligent Bot, Shell can achieve automatic injection
...Vulnx is An Intelligent Bot Auto Shell Injector that detects vulnerabilities in multiple types of Cms, fast cms detection, information gathering, and vulnerability scanning of the target like subdomains, IP addresses, country, org, timezone, region, and more. Instead of injecting each and every shell manually as all the other tools do, VulnX analyses the target website checking the presence of a vulnerability if so the shell will be Injected by searching URLs with the dorks Tool. Detects CMS (wordpress, joomla, prestashop, drupal, opencart, magento, lokomedia). -
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Scikit-learn Tutorial
An introductory tutorial for scikit-learn
...It is designed for people who already have a working Python environment and some familiarity with NumPy, SciPy, and Matplotlib. The repository specifies a clear list of dependencies so that participants can reproduce the environment used in the tutorial, and many downstream forks keep the content updated for newer versions of scikit-learn. Although the GitHub repository has been archived and is read-only, it is still a valuable snapshot of early, hands-on teaching material for scikit-learn and machine learning in Python. -
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PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data
...Its training loop is built for throughput: asynchronous I/O, memory-mapped tensors, and lock-free updates keep GPUs and CPUs fed even at extreme scale. The toolkit includes evaluation metrics and export tools so learned embeddings can be used in downstream nearest-neighbor search, recommendation, or analytics. In practice, PBG’s design lets practitioners train high-quality graph embeddings. -
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Python Patterns
A collection of design patterns/idioms in Python
...It serves as an educational resource: showing how to implement creational, structural, behavioral, testability, and other patterns in a Pythonic style (or sometimes less so), illustrating trade-offs, different styles, and use cases. It’s intended for learners or developers interested in software architecture or design, rather than as a production library. Includes pattern examples for testability, delegation, flyweight, proxy, etc., plus patterns outside the classical set (registry, specification, etc.) ... -
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BlockCheck
Russian ISP blocking type checker
...It runs tests that help distinguish different blocking methods, such as DNS manipulation, IP blocking, HTTP blocking, TCP reset behavior, and deeper filtering patterns. The repository is now archived and marked as not currently working, so it should be treated as a historical and diagnostic reference rather than a maintained utility. Its value is strongest for people studying network censorship, ISP filtering behavior, and the technical mechanics of access restriction. Because test results could be affected by circumvention tools, the project warns users not to run it while bypass systems are enabled. -
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TF Quant Finance
High-performance TensorFlow library for quantitative finance
...Users can value options and fixed-income instruments, simulate paths, fit curves, and calibrate models while leveraging TensorFlow’s jit compilation and automatic differentiation. The codebase is organized as modular math and finance primitives so you can combine building blocks or target end-to-end examples. It includes Bazel builds, tests, and example notebooks to accelerate learning and adoption in real workflows. With hardware acceleration and differentiable models, it enables modern techniques like gradient-based calibration and end-to-end learning of market dynamics.