Search Results for "compact framework"
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Showing 76 open source projects for "compact framework"
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1
Fat-Free Framework (FatFree)
A powerful yet easy-to-use PHP micro-framework
Fat-Free Framework (F3) is a lightweight, modular PHP micro-framework designed to build web applications with minimal effort. It provides a set of essential tools for routing, templating, database interaction, and caching while keeping the core codebase compact and efficient. F3 is suitable for developers who want to create small to medium-sized applications without the overhead of larger frameworks. -
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ZeroClaw
Fast, small, and fully autonomous AI assistant infrastructure
...The framework features a compact single binary with fast cold and warm startup times and very low memory overhead, making it suitable even for resource-constrained hardware like small servers or edge devices. Security is a first-class concern, with sandbox controls, encrypted secrets, allowlisted operations, and scoped filesystem access by default, helping reduce risk when running autonomous agents. -
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Bottle
bottle.py is a fast and simple micro-framework for python applications
Bottle is a minimalist web framework for building small web applications and APIs in Python. It is distributed as a single file with no external dependencies, making it perfect for rapid development, prototyping, or embedded use. Despite its small size, Bottle supports routing, templates, request handling, and plugin support, offering a full-featured toolkit in an extremely compact package. -
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svelte-jsoneditor
Web-based tool to view, edit, format, repair, query, & transform JSON
A web-based tool to view, edit, format, transform, and validate JSON. The library is written with Svelte, but can be used in plain JavaScript too, and in any framework (SolidJS, React, Vue, Angular, etc). View and edit JSON, has a low-level text editor and high-level tree view and table view. Format (beautify) and compact JSON. Sort, query, filter, and transform JSON. JSON schema validation and pluggable custom validation. Color highlighting, undo/redo, search and replace. Utilities like a color picker and timestamp tag. ... -
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5
1D Visual Tokenization and Generation
This repo contains the code for 1D tokenizer and generator
...The repo also bundles a full generative modeling pipeline (e.g. the framework “MaskGen” / “TA-TiTok”) that demonstrates how this 1D tokenizer can be used in text-to-image generation or image reconstruction tasks. -
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model2Vec
Fast State-of-the-Art Static Embeddings
model2vec is an innovative embedding framework that converts large sentence transformer models into compact, high-speed static embedding models while preserving much of their semantic performance. The project focuses on dramatically reducing the computational cost of generating embeddings, achieving significant improvements in speed and model size without requiring large datasets for retraining. -
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rr
Record and Replay Framework
rr aspires to be your primary C/C++ debugging tool for Linux, replacing — well, enhancing — gdb. You record a failure once, then debug the recording, deterministically, as many times as you want. The same execution is replayed every time. rr also provides efficient reverse execution under gdb. Set breakpoints and data watchpoints and quickly reverse-execute to where they were hit. rr works on real applications and is used by many developers to fix real bugs. It makes debugging hard bugs much... -
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Solon
Java enterprise application development framework
Solon is a full-scenario Java enterprise application framework that positions itself as a lean, high-performance alternative to heavy stacks. It advertises large concurrency gains, lower memory use, much faster startup, and dramatically smaller packages while remaining compatible from Java 8 through Java 24. The framework focuses on restrained APIs and an open ecosystem, with modules that cover web, data, cloud, and microservice patterns. Its messaging emphasizes “replaceable Spring”... -
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Nano-vLLM
A lightweight vLLM implementation built from scratch
...Its API closely mirrors that of the original vLLM framework, allowing developers familiar with vLLM to adopt the tool with minimal changes. -
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10
Airframe
Essential Building Blocks for Scala
Airframe is an essential building block for developing applications in Scala, including logging, object serialization using JSON or MessagePack, dependency injection, HTTP server/client with RPC support, functional testing with AirSpec, etc. Airframe RPC supports seamless integration of servers and clients using Scala as RPC interfaces. AirSpec is a simple unit testing framework for Scala and Scala.js. You can use public methods in your classes as test cases. There is no need to remember... -
11
zclaw
Your personal AI assistant at all-in 888KiB
zclaw is a highly compact personal AI assistant framework designed to run on constrained embedded hardware such as the ESP32. The project focuses on delivering core assistant capabilities within an extremely small footprint, demonstrating how AI-driven automation can operate on microcontrollers. It includes support for GPIO control, scheduled tasks, memory handling, and other embedded automation features that enable real-world device interaction. -
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ReClip
Download videos from almost any website
ReClip is a lightweight, self-hosted media downloader that provides a simple web-based interface for downloading videos and audio from a wide range of online platforms. Built around the yt-dlp engine, it supports over a thousand websites, including major platforms like YouTube, TikTok, and Instagram, allowing users to retrieve media content in various formats. The application emphasizes simplicity and minimalism, featuring a clean interface built with plain HTML, CSS, and JavaScript without... -
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LatentMAS
Latent Collaboration in Multi-Agent Systems
LatentMAS is an advanced framework for multi-agent reinforcement learning (MARL) that uses latent variable modeling to bridge perception and decision-making in environments where agents must coordinate under uncertainty. It provides mechanisms for agents to learn high-level latent representations of states, which simplifies complex sensory inputs into compact, actionable embeddings that facilitate both individual policy learning and inter-agent coordination. -
14
LLM101n
LLM101n: Let's build a Storyteller
LLM101n is an educational repository that walks you through building and understanding large language models from first principles. It emphasizes intuition and hands-on implementation, guiding you from tokenization and embeddings to attention, transformer blocks, and sampling. The materials favor compact, readable code and incremental steps, so learners can verify each concept before moving on. You’ll see how data pipelines, batching, masking, and positional encodings fit together to train a... -
15
Browser Harness
Self-healing browser harness that enables LLMs to complete any task
Browser Harness is a self-healing browser control system built to give language models direct and flexible access to a real Chrome browser through the Chrome DevTools Protocol. Its main philosophy is minimalism: instead of imposing a rigid framework, it exposes a very thin bridge so the agent can perform browser tasks with almost no abstraction in the way. A defining part of the project is that the agent can write or extend missing helper functions during a task, which is why the repository describes it as self-healing. The implementation is intentionally compact, with a small set of core files handling installation, day-to-day usage, helper methods, and the daemon layer that maintains the CDP websocket bridge. ... -
16
101 FastAPI Tips
FastAPI Tips by The FastAPI Expert!
101 FastAPI Tips is a curated collection of practical FastAPI advice from a developer deeply involved in the FastAPI ecosystem. Rather than being a full framework or application template, it works as a compact learning resource for improving real FastAPI projects. The tips cover performance, async behavior, WebSocket patterns, project structure, dependency choices, testing habits, and production-minded design decisions. It is especially helpful for developers who already know the basics and want to avoid subtle mistakes that can hurt scalability, reliability, or maintainability. ... -
17
find-my-way
A crazy fast HTTP router
A crazy fast HTTP router, internally uses a highly performant Radix Tree (aka compact Prefix Tree), supports route params, wildcards, and it's framework is independent. You can set a custom length for parameters in parametric (standard, regex and multi) routes by using maxParamLength option, the default value is 100 characters. If you are using a regex-based route, find-my-way will throw an error if detects potentially catastrophic exponential-time regular expressions (internally uses safe-regex2). ... -
18
Zeek
Zeek is a powerful network analysis framework
Zeek has a long history in the open source and digital security worlds. Vern Paxson began developing the project in the 1990s under the name “Bro” as a means to understand what was happening on his university and national laboratory networks. Vern and the project’s leadership team renamed Bro to Zeek in late 2018 to celebrate its expansion and continued development. Zeek is not an active security device, like a firewall or intrusion prevention system. Rather, Zeek sits on a “sensor,” a... -
19
pytudes
Python programs, usually short, of considerable difficulty
...Many examples emphasize clarity and compactness rather than framework-heavy engineering. pytudes is best understood as a learning library, a coding style reference, and a set of practical programming studies. -
20
GuitarPedal
Linus learns analog circuits
...The project demonstrates how to read audio input, process it through simple transformations, and write the result out in real time with minimal latency. It emphasizes straightforward, inspectable DSP so developers can follow the math and tweak parameters without a giant framework in the way. The codebase favors portability and simplicity, focusing on a handful of canonical effects rather than a sprawling plugin architecture. It doubles as a teaching aid for musicians who code, showing how buffers, sampling rates, and numerical stability affect tone. While not a full multi-FX suite, it offers a compact sandbox for experimenting with guitar processing on modest hardware. -
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litlyx
Analytics for developers, setup Analytics in 30 seconds
...Their cleaning kit is compact, portable, and designed to be effective for everyday use, ensuring that users can maintain clear vision without the hassle of disposable wipes or sprays. -
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Instant Neural Graphics Primitives
Instant neural graphics primitives: lightning fast NeRF and more
...The system implements several neural graphics primitives including neural radiance fields, signed distance functions, neural images, and neural volumes. These representations are trained using a compact neural network combined with a multiresolution hash encoding that dramatically accelerates both training and rendering processes. The framework is capable of reconstructing detailed 3D scenes from images and generating realistic views of those scenes in real time. Compared with earlier neural radiance field approaches, instant-ngp significantly reduces training time and computational requirements, enabling models to be trained within seconds or minutes on modern GPUs. -
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Chat with LLMs Everywhere
Run PyTorch LLMs locally on servers, desktop and mobile
TorchChat is an open-source project from the PyTorch ecosystem designed to demonstrate how large language models can be executed efficiently across different computing environments. The project provides a compact codebase that illustrates how to run conversational AI systems using PyTorch models on laptops, servers, and mobile devices. It is intended primarily as a reference implementation that shows developers how to integrate large language models into applications without requiring a... -
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Vision Transformer Pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA
...It breaks down the model into patch embedding, positional encoding, multi-head self-attention, feed-forward blocks, and a classification head so you can understand each component in isolation. The code is intentionally compact and modular, which makes it easy to tinker with hyperparameters, depth, width, and attention dimensions. Because it stays close to vanilla PyTorch, you can integrate custom datasets and training loops without framework lock-in. It’s widely used as an educational reference for people learning transformers in vision and as a lightweight baseline for research prototypes. ... -
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llama2.c
Inference Llama 2 in one file of pure C
...The goal of llama2.c is to demonstrate how a compact and transparent implementation can perform meaningful inference even with small models, emphasizing simplicity, clarity, and accessibility. The project builds upon lessons from nanoGPT and takes inspiration from llama.cpp, focusing instead on minimalism and educational value over large-scale performance.