Search Results for "without code" - Page 29
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Showing 2663 open source projects for "without code"
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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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Harness
A meta-skill that designs domain-specific agent teams
...Harness also abstracts the complexity of agent design, making it easier for developers to deploy multi-agent systems without extensive configuration. Its approach emphasizes modularity and reuse, allowing generated agents and skills to be applied across different projects. Overall, Harness acts as an automation layer for building and managing complex agent ecosystems. -
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templUI
A growing collection of beautifully designed UI components for Go
...It provides a growing collection of beautifully designed, production-ready components styled with Tailwind CSS, allowing developers to construct modern web interfaces without relying on heavy frontend frameworks. One of its defining principles is code ownership, meaning developers can either import components directly or copy them into their projects using a CLI, ensuring full control over customization and long-term maintenance. The library avoids JavaScript frameworks entirely, instead relying on lightweight, vanilla implementations that prioritize speed and simplicity. templUI also emphasizes security and compliance, with features such as CSP-friendly rendering and no inline scripts, making it suitable for enterprise environments. -
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ChatGPT Exporter
Export and Share your ChatGPT conversation history
ChatGPT Exporter is a browser-based userscript tool designed to export ChatGPT conversations into multiple structured and shareable formats, enabling users to preserve, analyze, and reuse AI-generated content outside the ChatGPT interface. It integrates directly into the ChatGPT web environment, typically via tools like Tampermonkey, and adds export functionality without requiring backend services or complex setup. The tool supports a wide range of output formats including plain text, HTML, Markdown, JSON, and even image-based exports, making it suitable for documentation, knowledge management, and data analysis workflows. One of its key strengths is its ability to preserve formatting such as code blocks, tables, and structured responses, ensuring that exported content remains usable and readable. ... -
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Toad
Unified terminal AI tool for exploring and editing codebases
Toad is an open source, terminal-first AI interface designed to unify multiple coding agents into a single workflow. It allows developers to interact with AI models directly inside the command line, making it easier to explore, understand, and modify codebases without leaving the terminal. Built in Python, it focuses on transparency and control by letting users load context intentionally and inspect how the AI processes files. Toad supports structured conversations, enabling navigation through code with clear references instead of opaque outputs. Inspired by notebook-style workflows, it allows reuse of previous interactions and exporting of results. ... -
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builder.io
Visual Development for React, Vue, Svelte, Qwik, and more
...The platform combines a drag-and-drop visual editor with an API-driven content system that can deliver structured content to any front-end framework or application. Builder allows developers to integrate their existing components and design systems while enabling designers and marketers to modify layouts and publish content without writing code. Through its headless architecture, content and layouts can be delivered across websites, mobile applications, and other digital channels. The system also includes optimization tools that allow teams to experiment with layouts, personalize content, and iterate on user experiences quickly. -
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MiniMind-V
"Big Model" trains a visual multimodal VLM with 26M parameters
MiniMind-V is an experimental open-source project that aims to train a very small multimodal vision–language model (VLM) from scratch with extremely low compute and cost, making research and experimentation accessible to more people. The repository showcases training workflows and code designed to produce a 26-million parameter model—including both image and text capabilities—using minimal resources in very little time, reflecting a trend toward democratizing AI research. MiniMind-V combines techniques from modern vision-language modeling but focuses on efficiency and simplicity so that individuals or small teams can explore multimodal learning without massive GPU clusters. ... -
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CutLER
Code release for Cut and Learn for Unsupervised Object Detection
CutLER is an approach for unsupervised object detection and instance segmentation that trains detectors without human-annotated labels, and the repo also includes VideoCutLER for unsupervised video instance segmentation. The method follows a “Cut-and-LEaRn” recipe: bootstrap object proposals, refine them iteratively, and train detection/segmentation heads to discover objects across diverse datasets. The codebase provides training and inference scripts, model configs, and references to... -
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CSS Inspiration
Curated collection of interesting, creative, or inspiring CSS effects
...The collection ranges from micro-interactions and loaders to 3D transforms, complex backgrounds, hover states, and text effects, each presented as a small, self-contained demo. Source code is front and center, encouraging developers to study, copy, and tweak snippets for their own projects. Many examples lean on contemporary features—custom properties, filters, blend modes, gradients, and keyframes—serving as both inspiration and a practical cookbook. Because each demo focuses on a single idea, it’s an effective way to learn new techniques without wading through a full framework. ... -
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HASH
The best way to use and work with blocks
This is HASH's public monorepo which contains our public code, docs, and other key resources. HASH is a platform for decision-making, which helps you integrate, understand and use data in a variety of different ways. HASH does this by combining various different powerful tools together into one simple interface. These range from data pipelines and a graph database, through to an all-in-one workspace, no-code tool builder, and agent-based simulation engine. These exist at varying stages of... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Magic Enum C++
Static reflection for enums (to string, from string, iteration)
Static reflection for enums (to string, from string, iteration) for modern C++, work with any enum type without any macro or boilerplate code. magic_enum does not pretend to be a silver bullet for reflection for enums, it was originally designed for small enum. If you are using vcpkg on your project for external dependencies, then you can use the magic-enum package. If you are using Conan to manage your dependencies, merely add magic_enum/x.y.z to your conan's requires, where x.y.z is the release version you want to use. -
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The Go Cloud Development Kit
Library and tools for open cloud development in Go
...It does this by providing stable, idiomatic interfaces for common uses like storage and databases. Think database/sql for cloud products. The project works well with a code generator called Wire. It creates human-readable code that only imports the cloud SDKs for services you use. This allows the Go CDK to grow to support any number of cloud services, without increasing compile times or binary sizes, and avoiding any side effects from init() functions. The Go CDK builds at the latest stable release of Go. ... -
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Serverless Java container
A Java wrapper to run Spring, Spring Boot, Jersey, and other apps
The AWS Serverless Java Container library is a framework that allows developers to run existing or new Java web applications—built with frameworks such as Spring, Jersey, Spark, Struts—inside AWS Lambda with minimal modifications. It bridges the gap between traditional servlet or web-framework models and serverless functions by mapping HTTP events from API Gateway into requests your framework understands and routing responses back appropriately. This means you can keep much of your familiar... -
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SST
Build serverless apps. Set breakpoints and test your functions locally
SST is an open-source serverless application platform that deploys to your AWS account, helping you go from idea to IPO. Work on your local Lambda functions lives, without mocking or redeploying your app. Higher-level CDK constructs are made specifically for building serverless apps. Manage the resources in your application with the SST Console. Traditionally, we’ve built and deployed web applications where we have some degree of control over the HTTP requests that are made to our server.... -
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DataLoader
Generic utility to use with an application's data fetching layer
DataLoader is a generic utility to be used as part of your application's data fetching layer to provide a simplified and consistent API over various remote data sources such as databases or web services via batching and caching. A port of the "Loader" API originally developed by @schrockn at Facebook in 2010 as a simplifying force to coalesce the sundry key-value store back-end APIs which existed at the time. At Facebook, "Loader" became one of the implementation details of the "Ent"... -
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dsh-web
DeepSeek Harness (DSH) Web
dsh-web is a plugin ecosystem that expands the DeepSeek Harness Web GUI into a broader AI development workstation. Its capabilities are packaged as independent plugins that can be installed, replaced, or extended without modifying the DSH source code. The suite adds performance monitoring, agent presets, a task board, mobile remote control, SSH operations, image understanding, and an enhanced workspace panel. Tasks can be organized on a multi-column board and scheduled for real execution through cron expressions. Remote features support paired mobile or desktop access, while SSH tools provide terminals, file transfers, tunnels, and multi-host commands. ... -
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Precedent
An opinionated collection of components, hooks, and utilities
...ESLint and Prettier enforce consistent code quality, and Vercel Analytics can measure traffic with privacy-conscious reporting. Developers can clone it with create-next-app or deploy it directly to Vercel and then replace the example interface with their own product. -
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autoresearch
AI agents autonomously run and improve ML experiments overnight
autoresearch is an experimental framework that enables AI agents to autonomously conduct machine learning research by iteratively modifying and training models. Created by Andrej Karpathy, the project allows an agent to edit the model training code, run short experiments, evaluate results, and repeat the process without human intervention. Each experiment runs for a fixed five-minute training window, enabling rapid iteration and consistent comparison across architectural or hyperparameter changes. The system centers on a simple workflow where the agent modifies a single training file while human researchers guide the process through a program.md instruction file. ... -
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Toaster Frame
Android toast frame, dedicated to treating various difficult problems
...It focuses on ensuring that toast notifications display correctly even on heavily customized Android skins. The library is designed for easy integration, allowing developers to replace default toast usage with minimal code changes. It also supports styling and positioning improvements that make transient user feedback more predictable. In practice, Toaster is useful for Android teams that want consistent UI feedback without building a custom notification system from scratch. -
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Claude Relay Service
Claude Code image, a one-stop open source transit service
claude-relay-service is an open-source proxy and relay platform that enables unified access to multiple AI model providers through a single self-hosted gateway. The project is designed to help users centralize subscriptions and API usage for services such as Claude, OpenAI, Gemini, and related tools. It acts as a middleware layer that forwards requests while managing authentication, routing, and cost-sharing scenarios. The system is particularly useful for teams or communities that want to... -
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CCC
Claude Opus 4.6 wrote a dependency-free C compiler in Rust
Claude’s C Compiler is a remarkable experiment in automated software generation: a full C compiler written from scratch in Rust entirely by an AI model (Claude Opus 4.6) with minimal human intervention, capable of targeting multiple architectures like x86-64, i686, ARM, and RISC-V. The project implements every part of a traditional compiler — the lexer, parser, intermediate representation, optimizer, code generator, assembler, linker, and debug info emitter — without relying on any external toolchain, producing standalone executables in the ELF format. While still early and not fully validated for correctness, it demonstrates the frontier of what sophisticated AI can build in complex, systems-level software domains, including the potential to compile real operating systems and large software projects. -
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Moss
Rust Linux-compatible kernel
Moss Kernel is an open-source operating system kernel project designed to explore modern OS design and provide a foundation for experimental system research and development. Rather than replicating traditional monolithic kernels exactly, it emphasizes modularity, safety, and simplicity by incorporating well-structured subsystems for memory management, scheduling, and device abstraction that are easy for contributors to understand and extend. The kernel uses Rust as its primary implementation... -
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Zen C
Write like a high-level language, run like C
...It provides a clean syntax and semantics that closely mirror classic C while enforcing stricter rules to eliminate common pitfalls like undefined behaviors or hidden conversions that often cause bugs. Zen-C includes a lightweight compiler front-end and runtime that can target multiple platforms, enabling users to compile and run code on both desktop and embedded environments without heavy tooling. Because it prioritizes clarity and predictability, the language makes it easier for learners to understand core systems concepts while still accessing low-level memory control and performance. -
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Vibecraft
Manage Claude Code in style
Vibecraft is a creative AI platform that generates stylized music, beats, and sound textures guided by high-level prompts, allowing musicians and content creators to explore new sonic possibilities without deep expertise in audio synthesis. It uses generative modeling techniques to interpret input descriptors such as genre, mood, tempo, instrument palette, and creative themes, then outputs sequences that can serve as sketches, loops, or full musical ideas. The workflow prioritizes... -
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CheckCle
CheckCle is a self-hosted, open-source monitoring platform
...Rather than manually configuring multiple tools, developers define a simple config file that tells checkcle which checks to run and what standards to enforce, letting teams maintain consistent code quality across languages and toolchains. The output is concise and machine-friendly, making it easy to integrate with automated reporting systems or tailor failure thresholds to your team’s taste. It also provides ways to cache or skip previously passed checks to speed up iterative workflows without sacrificing reliability. -
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workerd
The JavaScript / Wasm runtime that powers Cloudflare Workers
...Designed to host serverless applications written to the Workers platform API (including fetch() and Web standard libraries), workerd enables developers to self-host edge-style workloads in local data centers or development environments, or to test Workers code offline before deploying to the cloud. It emphasizes performance, predictable deployment semantics, and secure isolation, and it uses a capability-based configuration model to bind external resources and services into worker applications in a composable way. The architecture promotes homogeneous deployment of “nanoservices,” which are lightweight components that can be distributed and scaled without complex orchestration, and it supports backward compatibility.
