Showing 123 open source projects for "minimal project"

View related business solutions
  • Stop Cyber Threats with VM-Series Next-Gen Firewall on Azure Icon
    Stop Cyber Threats with VM-Series Next-Gen Firewall on Azure

    Native application identity and user-based security for your Azure cloud

    Gain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
    Get a free trial
  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

    You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
    Try free now
  • 1
    TG WS Proxy

    TG WS Proxy

    Local MTProto proxy server for partial bypassing of Telegram loading

    TG WS Proxy is a lightweight proxy server designed to enable Telegram connectivity over WebSocket, particularly in environments where direct access to Telegram servers is restricted. It allows Telegram clients to communicate through alternative transport layers, bypassing network limitations or censorship mechanisms. The project focuses on simplicity and efficiency, providing a minimal setup that can be deployed quickly on various platforms. It supports secure communication and can be integrated into existing proxy infrastructures. The tool is particularly useful in regions with network restrictions, enabling continued access to Telegram services. It also offers flexibility in configuration, allowing users to adapt it to different network conditions.
    Downloads: 5,240 This Week
    Last Update:
    See Project
  • 2
    Status

    Status

    Minimal docker container status panel

    A minimal docker container management panel written in Python / Flask. Before installing this project, please, make sure you have installed docker and docker-compose.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Retrobios

    Retrobios

    Complete BIOS and firmware packs for RetroArch, Batocera, Recalbox

    Retrobios is a low-level systems programming project focused on recreating or emulating BIOS-like functionality for legacy or experimental computing environments. It is designed to provide a minimal firmware layer that initializes hardware and prepares systems to boot, often used for educational purposes or retrocomputing experiments. The project likely explores how early computing systems managed hardware abstraction, memory initialization, and device communication before modern operating systems take control. ...
    Downloads: 13 This Week
    Last Update:
    See Project
  • 4
    simple-modern-uv

    simple-modern-uv

    A minimal, modern Python project template

    simple-modern-uv is a minimal yet production-ready Python project template that uses the uv toolchain to streamline dependency management, virtualenvs, and packaging. It aims to be “small but serious,” giving you the essentials—testing, linting, type checking, formatting, GitHub Actions—without burying you in boilerplate. The layout is opinionated around a pyproject.toml so configuration is centralized and easy to inspect.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Try Google Cloud Risk-Free With $300 in Credit Icon
    Try Google Cloud Risk-Free With $300 in Credit

    No hidden charges. No surprise bills. Cancel anytime.

    Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
    Start Free
  • 5
    autoresearch for AMD

    autoresearch for AMD

    AI agents running research on single-GPU nanochat training

    autoresearch for AMD is a framework for autonomous scientific experimentation in machine learning, enabling AI agents to iteratively improve models through a continuous loop of hypothesis generation, experimentation, and evaluation. The system is built around a minimal structure that includes a data preparation module, a training script that can be modified, and a program specification that guides the agent’s decision-making process. During each iteration, the agent edits the training code,...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Mini Agent

    Mini Agent

    A minimal yet professional single agent demo project

    Mini-Agent is a minimal yet production-minded demo project that shows how to build a serious command-line AI agent around the MiniMax-M2 model. It is designed both as a reference implementation and as a usable agent, demonstrating a full execution loop that includes planning, tool calls, and iterative refinement. The project exposes an Anthropic-compatible API interface and fully supports interleaved thinking, letting the agent alternate between reasoning steps and tool invocations during long, complex tasks. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    Sunfish

    Sunfish

    Sunfish: a Python Chess Engine in 111 lines of code

    ...Despite being only around a hundred lines of core logic, the engine achieves competitive performance, reaching ratings above 2000 on online platforms. It implements classic chess engine techniques such as alpha-beta pruning and efficient board representation while maintaining readability and simplicity. The project is often used as an educational tool for understanding game AI, search algorithms, and evaluation functions without the complexity of larger engines. It includes a simple UCI-compatible interface, allowing it to be integrated with graphical chess interfaces or used in terminal-based gameplay. The codebase is intentionally minimal, making it ideal for experimentation, modification, and learning purposes.
    Downloads: 6 This Week
    Last Update:
    See Project
  • 8
    autoresearch-mlx

    autoresearch-mlx

    Apple Silicon (MLX) port of Karpathy's autoresearch

    ...It maintains the core autoresearch structure, where an AI agent iteratively edits a training script, executes experiments under a fixed time budget, and evaluates results based on a defined metric such as validation bits per byte. The system is tailored for Apple hardware, leveraging unified memory and MLX capabilities to achieve efficient training on Mac devices. It includes a minimal and focused project structure consisting of data preparation utilities, a modifiable training file, and a program specification that governs the agent’s behavior. The framework logs experiment results and supports continuous iteration, enabling long-running optimization cycles that can reveal hardware-specific performance patterns.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    kokoro-onnx

    kokoro-onnx

    TTS with kokoro and onnx runtime

    kokoro-onnx is a text-to-speech toolkit that wraps the Kokoro neural TTS model in an easy-to-use ONNX Runtime interface, so you can generate speech from Python with minimal setup. It focuses on running efficiently on commodity hardware, including macOS with Apple Silicon, while still delivering near real-time performance for many use cases. The project ships prebuilt model files and a simple example script, so you can go from installation to producing an audio.wav file in just a few steps. It supports multiple languages and voices, with a curated voice list and configuration via a VOICES file hosted alongside the models. ...
    Downloads: 212 This Week
    Last Update:
    See Project
  • Go From AI Idea to AI App Fast Icon
    Go From AI Idea to AI App Fast

    One platform to build, fine-tune, and deploy ML models. No MLOps team required.

    Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
    Try Free
  • 10
    Machine learning algorithms

    Machine learning algorithms

    Minimal and clean examples of machine learning algorithms

    Machine learning algorithms is an open-source repository that provides minimal and clean implementations of machine learning algorithms written primarily in Python. The project focuses on demonstrating how fundamental machine learning methods work internally by implementing them from scratch rather than relying on high-level libraries. This approach allows learners to study the mathematical and algorithmic details behind widely used models in a transparent and readable way. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 11
    holehe

    holehe

    Check if the mail is used on different sites

    ...It supports more than a hundred websites and is commonly used during reconnaissance, digital investigations, and account exposure assessments. holehe is designed to operate quickly and quietly, emphasizing efficiency and minimal footprint during enumeration tasks. The project can be used both as a standalone command-line tool and as a library embedded into larger automation pipelines. Overall, holehe provides investigators with a focused and scalable method for mapping an email’s online presence.
    Downloads: 40 This Week
    Last Update:
    See Project
  • 12
    Furo

    Furo

    A clean customizable documentation theme for Sphinx

    ...Biased for smaller docsets, intended for smaller documentation sets, where presenting the entire hierarchy in the sidebar is not overwhelming. Furo allows customizing the icons that are presented in the page footer. These icons can be used to link to relevant resources for your project and documentation.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 13
    GPT-API-free

    GPT-API-free

    Free ChatGPT&DeepSeek API Key

    GPT-API-free is a project that provides access to GPT-style APIs without requiring direct integration with paid official endpoints, focusing on accessibility and ease of experimentation. It offers a proxy-based approach that allows developers to interact with language models through a simplified interface, often requiring minimal configuration. The system is designed to lower barriers for developers who want to test or build applications using conversational AI without managing billing or complex authentication flows. ...
    Downloads: 11 This Week
    Last Update:
    See Project
  • 14
    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...
    Downloads: 5 This Week
    Last Update:
    See Project
  • 15
    bu-agent-sdk

    bu-agent-sdk

    An agent is just a for-loop

    ...The SDK emphasizes simplicity and control, avoiding heavy orchestration frameworks and instead letting developers specify exactly what tools an agent can employ and how it should signal task completion. This lightweight design means developers can rapidly prototype AI agent behavior, test custom tools, and integrate models like Anthropic’s Claude with minimal overhead.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 16
    Simple Evals

    Simple Evals

    Lightweight framework for evaluating large language model performance

    ...By emphasizing simplicity, the framework makes it easy to define new tasks, run evaluations, and interpret results in a reproducible way. It is particularly useful for sanity checks, exploratory research, and comparing performance across different models or configurations. The project provides clear structures for defining datasets, metrics, and evaluation logic, while staying minimal enough to adapt for custom use cases. With its straightforward design, simple-evals is well-suited for rapid iteration and for teams that want to integrate evaluation into their model development workflows.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 17
    Agent Lightning

    Agent Lightning

    The absolute trainer to light up AI agents

    ...The project emphasizes minimalist integration, so you can drop this into existing systems without extensive rewrites, focusing instead on iterative performance improvement.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 18
    Agently 4

    Agently 4

    Build GenAI application quick and easy

    Agently is a Python framework for building generative-AI (“GenAI”) applications; it focuses on enabling developers to orchestrate AI agents, workflows, and event-driven logic in a robust, reusable way. With Agently, one can define agents that call different models, chain tasks, trigger workflows based on events, and switch models with minimal code changes. It abstracts away boilerplate around model API calls, tool usage, prompt management, and workflow state. The project aims at production-grade GenAI application development rather than just one-off scripts — you’ll find examples of news gathering, agentic workflows, control systems, etc. It is licensed under Apache-2.0, allowing commercial use and modification. ...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 19
    qxresearch-event-1

    qxresearch-event-1

    Python hands on tutorial with 50+ Python Application

    qxresearch-event-1 is an open-source educational repository that provides a collection of lightweight Python applications designed to demonstrate programming concepts and artificial intelligence techniques in simple and accessible examples. The repository contains dozens of small programs, many implemented with minimal lines of code, covering topics such as machine learning, graphical user interfaces, computer vision, and API integration. Each example is designed to illustrate a single concept or application in a clear and concise manner so that learners can quickly understand the underlying logic. The project emphasizes practical experimentation, allowing beginners to modify and extend the example programs to explore new ideas. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 20
    leafmap

    leafmap

    A Python package for interactive mapping and geospatial analysis

    A Python package for geospatial analysis and interactive mapping in a Jupyter environment. Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the geemap Python package, which was designed specifically to work with Google Earth Engine (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, and JupyterLab. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 21
    Ollama-GUI

    Ollama-GUI

    A single-file tkinter-based Ollama GUI project

    Ollama GUI by chyok is a minimalist desktop-style interface built to simplify interaction with local Ollama models through a graphical environment rather than the command line. It is implemented as a lightweight single-file application using Python and Tkinter, which means it avoids heavy dependencies and can run with minimal setup on most systems. The project focuses on usability, giving users a straightforward chat interface where they can send prompts, view responses, and manage conversations without needing to interact directly with APIs or CLI commands. It includes practical UI enhancements such as progress indicators, stop controls for generation, and contextual menus that streamline everyday workflows. ...
    Downloads: 3 This Week
    Last Update:
    See Project
  • 22
    Nano-vLLM

    Nano-vLLM

    A lightweight vLLM implementation built from scratch

    Nano-vLLM is a lightweight implementation of the vLLM inference engine designed to run large language models efficiently while maintaining a minimal and readable codebase. The project recreates the core functionality of vLLM in a simplified architecture written in approximately a thousand lines of Python, making it easier for developers and researchers to understand how modern LLM inference systems work. Despite its compact design, nano-vllm incorporates advanced optimization techniques such as prefix caching, tensor parallelism, and CUDA graph execution to achieve high performance during model inference. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 23
    SD.Next

    SD.Next

    All-in-one WebUI for AI generative image and video creation

    ...SD.Next is built to run across common desktop platforms and focuses on practicality: install, generate, iterate, and automate with minimal friction.
    Downloads: 16 This Week
    Last Update:
    See Project
  • 24
    fast-stable-diffusion

    fast-stable-diffusion

    Fast-stable-diffusion + DreamBooth

    ...Because it is configured for Colab, the project leverages Colab’s hosted GPUs, making it possible to use Stable Diffusion even without a powerful local GPU.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 25
    Lyra 2

    Lyra 2

    Project Lyra: Open Generative 3D World Models

    The Lyra 2 project is a research-driven framework developed by NVIDIA that focuses on building open generative 3D world models using advanced diffusion-based techniques. It enables the creation of fully explorable 3D environments from minimal inputs such as a single image or video, leveraging self-distillation methods to generate consistent spatial representations.
    Downloads: 1 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • 2
  • 3
  • 4
  • 5
  • Next
MongoDB Logo MongoDB