RatS is a Python project for analyzing and transferring ratings between movie tracking and rating websites. It uses a browser to log in, so lists marked as private can also be read, and it runs on the command line with Python3, Firefox and Xvfb on Linux. The project states it is still under development.
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Ray is an AI compute engine consisting of a core distributed runtime and AI libraries for scaling AI and Python applications. It runs on any machine, cluster, cloud provider, and Kubernetes, and is installed with pip install ray.
Tutorial on Python time-series model deployment.
Python project for creating a persona-style summary from public Reddit account activity.
A Python implementation of Restricted Boltzmann Machines. It lets users initialize an RBM with a chosen number of visible and hidden units, train it on a matrix of training examples, run visible or hidden data, and let the network run freely. It is released under an MIT license.
Deep learning based facial detector for Python coming with facial landmarks.
Rockpool is a Python package for developing signal processing applications with spiking neural networks. It allows users to build networks, simulate, train and test them, and deploy them in simulation or on event-driven neuromorphic compute hardware. It provides layers with simulation backends including Brian2, Torch, JAX, Numba and raw numpy.
Scalene is a Python profiler that measures CPU, GPU and memory usage. It identifies inefficiencies and can request optimization suggestions from AI providers, including Amazon Bedrock, Microsoft Azure, OpenAI and local models via Ollama. It can be used at the command line or as a Visual Studio Code extension, and installs via pip or conda.
Scikit-Image is an open-source Python library for image processing. Hosted on GitHub, the project provides installation resources, license information, and documentation for users, and accepts community contributions to the codebase.
Scikit-Opt is an open-source Python library that implements a range of optimization algorithms. Its features include genetic algorithms, particle swarm optimization, simulated annealing, ant colony optimization, immune algorithm, artificial fish swarm algorithm, differential evolution, and tools for the traveling salesman problem. The project is hosted on GitHub and accepts community contributions.
Scikit-Survival is a Python library that implements survival analysis functionality built on top of the scikit-learn framework. It is hosted as a public open source repository on GitHub for community contributions.
Serpent.AI is a Python-based Game Agent Framework intended to help users create artificial intelligences and bots that learn to play video games. The project was marked as end of life in November 2018, with a revival update released in May 2020.
Python-free Rust inference server with OpenAI API compatibility and hot model swapping.
A pure Rust tokenizer library that reads tokenizers directly from GGUF model files, requiring no Python, C++ or separate tokenizer files. It supports SPM, BPE, WPM, RWKV and UGM tokenizers tested token-for-token against llama.cpp, and offers batch encoding with optional Rayon parallelism. MIT licensed.
simulate-sdk is a Python SDK for the Simulate pillar of Future AGI. It runs voice and text agents against persona-driven scenarios, captures transcripts and audio, and passes results into the Evaluate pillar for scoring. The repository was archived by the owner on Sep 29, 2026, and is now read-only.
SiteDorks is an open-source Python tool that automates search engine dork queries across Google, Bing, Ecosia, DuckDuckGo, Yandex and Yahoo. It includes default lists of 638 categorized dorkable websites and bug bounty programs, supports custom site lists, and allows query splitting for search engines with character limits. The tool is designed for reconnaissance, penetration testing and security research tasks.
Open-source Python library designed to make it extremely easy to build and run agents using just a few lines of code.
A Python tool that restores timestamps, location, and captions to exported Snapchat Memories and Chat Media — compatible with Apple Photos and Windows File Explorer.
A Python script for parsing your chat history and visualizing your location history on Snapchat
🔥 Python tool to automatically recover Snapchat streaks
Python scripts for exporting memories and conversations from your Snapchat account
Snorkel is a system for quickly generating training data with weak supervision, released under an Apache-2.0 license and written in Python. The project started at Stanford in 2015 to programmatically label, build, and manage training data. The team now focuses on Snorkel Flow, an end-to-end AI application development platform based on the core ideas behind Snorkel.
Somoclu is a massively parallel implementation of self-organizing maps, using multicore CPUs, MPI for cluster workload distribution, and CUDA acceleration. It supports OpenMP, MPI, and CUDA, runs on Linux, macOS, and Windows, and offers planar and toroid maps, rectangular and hexagonal grids, and Gaussian and bubble neighborhood functions. Both dense and sparse input data are supported, with interfaces for Python, R, Julia, and MATLAB.
SOMPY is a Python library for self-organizing maps structured similarly to somtoolbox in Matlab. It offers only batch training, PCA or RandomPCA initialization, component plane visualization, hitmap and U-Matrix visualization, and 1-d or 2-d SOM with rectangular, planar grid. It supports function approximation and predictions, mostly using Sklearn.