ShypdShypd.ai
💻

Coding & Development

Browsing page 345 of AI tools for Coding & Development. Sorted by confidence score — our independent quality rating.

mcp-server-chart

mcp-server-chart

59%

mcp-server-chart is a Model Context Protocol (MCP) server designed for generating a wide array of charts using the AntV visualization library. This open-source tool supports over 25 different visual charts, making it suitable for various chart generation and data analysis tasks. It can be integrated with desktop applications like Claude, VSCode, and Cursor, or deployed via HTTP, SSE, or Streamable protocols for use with platforms like Aliyun and Dify. Key features include the ability to generate diverse chart types such as area, bar, boxplot, column, line, pie, scatter, and more, as well as specialized diagrams like fishbone, mind maps, and network graphs. Users can also filter available tools and configure private deployments for enhanced control over their chart generation services.

Rails Blocks update (ViewComponents are finally available)

Rails Blocks update (ViewComponents are finally available)

59%

Rails Blocks offers a comprehensive library of UI components designed for modern Ruby on Rails web applications. These components are built with Rails conventions in mind, ensuring seamless integration with Turbo Drive, Turbo Frames, and Turbo Streams. Each component is fully responsive and supports both light and dark modes out of the box. The library leverages Stimulus controllers for interactivity, allowing developers to build dynamic web applications without extensive JavaScript. All components are provided in a copy-and-paste format, giving users full control to customize styles, behavior, and markup to fit their specific needs while maintaining consistency across their application. Recent updates include the availability of Shared Partials and ViewComponents for all component sets, along with Markdown documentation.

GhostCoder

GhostCoder

59%

GhostCoder is an AI-powered coding assistant designed to help users excel in technical interviews and solve LeetCode problems. It offers discreet, undetectable assistance during live coding sessions, ensuring privacy by running locally with user-supplied AI API keys. The tool features click-free interaction and global hotkeys, eliminating the need for key presses or mouse clicks, making it invisible during screen sharing. It supports major AI platforms like OpenAI, Google Gemini, and Anthropic Claude, allowing users to leverage their own API keys and only pay for their AI usage. GhostCoder is offered as a one-time purchase, providing unlimited use on a single device with no subscriptions or hidden fees, and includes one year of free updates.

parameter_efficient_instruction_tuning

parameter_efficient_instruction_tuning

59%

parameter_efficient_instruction_tuning is an open-source repository dedicated to the systematic comparison of various parameter-efficient fine-tuning (PEFT) methods for instruction tuning tasks. The project utilizes the SuperNI dataset as its primary benchmark for training and evaluation. Implementations of PEFT methods are adapted from well-known libraries such as adapter-transformers and peft. The repository includes bash scripts for running experiments, optimized for the hfai HPC platform, supporting features like experiment configuration, checkpoint management, and training state validation. It also addresses platform-specific considerations like PyTorch and CUDA compatibility, making it a valuable resource for researchers and developers working on efficient large language model fine-tuning.

FireRedASR

FireRedASR

59%

FireRedASR is a family of open-source, industrial-grade automatic speech recognition (ASR) models developed by FireRedTeam. It provides robust support for Mandarin, various Chinese dialects, and English, setting new state-of-the-art benchmarks for Mandarin ASR. A key differentiator is its outstanding capability in recognizing singing lyrics. The tool offers two main variants: FireRedASR-LLM, designed for SOTA performance and seamless end-to-end speech interaction using an Encoder-Adapter-LLM framework, and FireRedASR-AED, which balances high performance with computational efficiency through an Attention-based Encoder-Decoder architecture. It also includes modules for VAD, LID, and Punc, making it a comprehensive ASR system.

mcp-context-forge

mcp-context-forge

59%

mcp-context-forge is an open-source AI Gateway, registry, and proxy designed to federate Model Context Protocol (MCP) servers, A2A servers, and REST/gRPC APIs into a unified endpoint. It offers centralized governance, discovery, and observability across AI infrastructure, optimizing agent and tool calling. Key capabilities include a Tools Gateway for MCP, REST, and gRPC translation, an Agent Gateway for A2A protocol and OpenAI/Anthropic routing, and an API Gateway with rate limiting, authentication, and retries. The tool supports extensive plugin extensibility with over 40 integrations and provides OpenTelemetry tracing for comprehensive observability. It runs as a fully compliant MCP server, deployable via PyPI or Docker, and scales to multi-cluster Kubernetes environments with Redis-backed federation and caching.

TransNetV2

TransNetV2

59%

TransNetV2 is an open-source neural network designed for fast and effective shot boundary detection in videos. This repository provides the code for TransNet V2, an advanced deep network architecture that significantly improves upon previous methods for identifying shot transitions. It is particularly useful for tasks like video editing and content analysis, enabling automated segmentation of video content. The project includes resources for both inference and training, with a PyTorch version available for inference. While training datasets can be large, users can leverage pre-trained models and instructions in the inference folder to detect shots in their own videos without needing to retrain the network.

Mirai

Mirai

59%

Mirai is an AI platform designed to convert, optimize, distribute, and run AI models with the fastest inference engine on Apple Silicon. It allows developers to deploy models on Mac, iPhone, and iPad, ensuring offline and private execution. Mirai offers one-line model conversion, quantization with high quality, and supports various architectures. It leverages the full potential of Apple Silicon's Neural Engine and unified memory bandwidth for real-time generation on devices. The platform supports use cases like text summarization, classification, routing, and translation, with upcoming voice features. Mirai also enables seamless distribution, zero inference cost, and keeps data on the device, making it ideal for applications requiring privacy and low latency.

WebcamGPT

WebcamGPT

59%

WebcamGPT is an innovative AI tool that enables real-time interaction with video streams directly from your webcam. Users can send images captured from their webcam along with text prompts to receive AI-generated responses. This functionality allows for dynamic conversations with visual input, making it suitable for various interactive applications. To utilize WebcamGPT, users must provide their own OpenAI API key, integrating their existing AI capabilities with the tool's real-time video processing. The application is hosted on Hugging Face Spaces by Roboflow, indicating its accessibility and potential for community-driven development and experimentation.

evalscope

evalscope

59%

EvalScope is a powerful and easily extensible open-source framework designed for efficient large model evaluation and performance benchmarking. Developed by the ModelScope Community, it offers a one-stop solution for developers to assess general model capabilities, conduct multi-model performance comparisons, and perform stress tests. Key features include comprehensive evaluation benchmarks like MMLU, C-Eval, and GSM8K, support for various model types including LLM, VLM, Embedding, Reranker, and AIGC, and seamless integration with multiple evaluation backends such as OpenCompass and VLMEvalKit. The framework also provides powerful tools for inference performance testing, interactive WebUI visualization for multi-dimensional model comparison, and an Arena Mode for multi-model battles. Its highly extensible architecture allows for easy addition of custom datasets, models, and evaluation metrics.

Rabot

Rabot

59%

Rabot is a Vision AI platform designed for warehouse pack stations, offering comprehensive quality control and operational insights. It records and AI-analyzes every order packed, providing verifiable proof, preventing errors, and improving overall performance. The platform has processed over 113 million items and integrates with more than 62 Warehouse Management Systems (WMS) without requiring WMS changes or API modifications. Rabot helps businesses cut costs by optimizing shipping, guides teams to reduce ramp-up time, resolves disputes with video evidence, and ensures operations compliance. It offers products like Pack, Scan, and Ship Right, with capabilities such as Pulse for single-screen operation and Workflows for enforcing rules.

I built an AI-assisted roadmap tool to prioritize SaaS features

I built an AI-assisted roadmap tool to prioritize SaaS features

59%

BuildVote is an AI-powered platform designed to help product teams and indie makers gather feedback, prioritize features, and manage their product roadmap effectively. It allows users to collect feedback from their audience, let them vote on proposed features, and then share a clear product roadmap. The platform leverages AI to provide intelligence for prioritizing features, ensuring that development efforts are focused on what truly matters to customers. This tool is ideal for those looking to build products that resonate with their user base by actively listening to their needs and incorporating their input into the development cycle. It aims to streamline the feedback-to-roadmap process, making it easier to ship valuable features.

StableVITON

StableVITON

59%

StableVITON is an open-source AI tool designed for virtual try-on applications, leveraging a latent diffusion model to learn semantic correspondence. This capability allows it to generate highly realistic images of clothing on a person, making it valuable for fashion design, e-commerce, and visual content creation. The tool provides options for both paired and unpaired inference, as well as a repaint option to preserve unmasked regions. It requires specific dataset structures for training and inference, including image, densepose, agnostic, and cloth data. StableVITON also supports fine-tuning with ATV loss for enhanced person texture, making it a robust solution for advanced virtual try-on needs.

wasi-nn

wasi-nn

59%

wasi-nn is a proposed WebAssembly System Interface (WASI) API designed for performing machine learning (ML) inference within WebAssembly environments. It aims to simplify the integration of existing ML models, such as those from TensorFlow, ONNX, and OpenVINO, into WASI applications. The API focuses on ease of use by allowing users to load models as opaque byte sequences and achieve high performance through hardware acceleration like GPUs, TPUs, and FPGAs. While primarily focused on inference, the project acknowledges future potential for ML training. It is currently in Phase 2 of development, emphasizing a framework- and model-agnostic approach to support diverse ML frameworks and formats.

AI Event Designer - Party Plan

AI Event Designer - Party Plan

59%

AI Event Designer - Party Plan is an iOS mobile application designed to streamline event planning and decor visualization using artificial intelligence. Users can effortlessly create stunning event designs, ranging from weddings to corporate gatherings, by simply uploading a single photo. The app leverages AI to analyze the image and generate a comprehensive event style, offering creative suggestions for themes, decorations, and overall ambiance. This intelligent tool acts as a virtual party stylist, enabling users to bring their event visions to life quickly and creatively, making complex planning accessible and enjoyable for everyone.

Lightrun

Lightrun

59%

Lightrun is an AI SRE platform designed to enhance production reliability by providing live runtime context for incident investigation and resolution. It enables developers, SREs, and AI agents to autonomously prevent and remediate software issues from code to production. The platform offers features like sandboxed instrumentation for logs, traces, metrics, and snapshots, allowing for deep code research and real-time end-to-end remediation. Lightrun helps reduce Mean Time To Resolution (MTTR) by triaging alerts, inspecting live execution, generating runtime evidence, and correlating it with code and infrastructure changes to prove root causes. It also facilitates autonomous remediation, offering fix recommendations and postmortems, and allows for validation of changes before release and testing on production traffic. The platform integrates with various tools and supports multiple programming languages and IDEs, ensuring security and compliance with standards like ISO 27001 and SOC 2 Type II.

toad

toad

59%

Toad offers a unified interface for interacting with AI models directly from your terminal, supporting a wide range of coding agents such as Claude, Gemini, Codex, and OpenHand. It uniquely blends a traditional shell-based workflow with powerful agentic AI, allowing users to seamlessly integrate AI capabilities into their command-line environment. Key features include an AI "App store" for discovering and installing agents, a fully integrated shell with interactive commands and tab completion, a Markdown prompt editor with syntax highlighting, and a fuzzy file picker. Toad also provides beautiful diffs, elegant Markdown rendering, intuitive settings, concurrent sessions, and session resume functionality. It runs on Linux and macOS, with Windows support via WSL currently, and native Windows support on the roadmap.

seldon-server

seldon-server

59%

Seldon-server is an open-source machine learning platform designed to help data science teams deploy models into production within a Kubernetes cluster. While this specific project is archived and superseded by Seldon Core, it laid the groundwork for serving a wide range of ML models, including those built with TensorFlow, Keras, Vowpal Wabbit, XGBoost, and Gensim. It features an API with Predict and Recommend endpoints for supervised machine learning models and high-performance recommendation engines, respectively. Other capabilities include dynamic algorithm configuration for A/B and Multivariate tests, a Command Line Interface (CLI), secure OAuth 2.0 REST and gRPC APIs, and a Grafana dashboard for real-time analytics. Seldon-server supports deployment on-premise or in the cloud (e.g., GCP, AWS, Azure).

Meeting Assistant Flow

Meeting Assistant Flow

59%

Meeting Assistant Flow is an open-source project built on the crewAI framework, designed to streamline the entire meeting lifecycle. It automates critical tasks such as loading meeting notes from a text file, generating actionable tasks from meeting transcripts using AI agents, and integrating these tasks with Trello for project management. Additionally, it saves new tasks to a CSV file and sends Slack notifications to keep teams informed. This flow leverages multiple AI agents to handle different aspects of the meeting workflow, offering a modular and efficient solution for automating meeting management processes. Users can customize agents, tasks, and the flow itself to fit specific organizational needs.

Deeptrace

Deeptrace

59%

Deeptrace functions as an AI Site Reliability Engineer (SRE) and debugging co-pilot, designed to automatically investigate and resolve production alerts. It achieves this by reasoning across logs, traces, metrics, and code, providing clear, evidence-backed root causes within minutes. The tool helps engineering teams reduce MTTR by approximately 50% and save thousands of engineering hours annually by automating alert triage, root cause analysis, and even suggesting fixes. Deeptrace integrates with over 20 tools like GitHub, Datadog, and Slack, and learns over time to refine its understanding of a system, making it smarter with each incident. It also offers a chat interface for natural language questions about production systems.

voicebox

voicebox

59%

voicebox is an open-source voice synthesis studio that leverages Qwen3-TTS to provide a private and customizable environment for voice generation. This tool enables users to clone existing voices, generate new speech, and develop various voice-powered applications directly on their local machines. By running locally, voicebox ensures privacy and offers extensive customization options, making it suitable for developers and content creators who require fine-grained control over their audio output. Its open-source nature fosters community contributions and allows for continuous improvement and adaptation to specific user needs, providing a flexible solution for advanced voice synthesis tasks.

Focoos AI

Focoos AI

59%

Focoos AI reshapes computer vision by offering ultra-efficient models designed to reduce costs, automate hardware integration, and ensure peak performance across various devices. The platform allows ML Engineers to train, deploy, and iterate models faster than ever, supporting both cloud and edge environments. Its models are engineered for speed, delivering up to 10x faster inference and being 4x lighter in compute and memory compared to mainstream alternatives. Focoos AI provides pre-trained, production-ready models that can be instantly deployed and easily fine-tuned. It features an all-in-one platform for managing, comparing, monitoring, and deploying models, alongside an open-source library for community collaboration and local use. The tool emphasizes security, control, and sustainability, making it suitable for applications in manufacturing, smart cities, and autonomous systems.

Dollie

Dollie

59%

Dollie is an AI tool designed to serve as an agency headquarters, integrating client information, expertise, and operational data with various AI tools. It addresses the challenge of AI tools lacking agency-specific context, which often leads to inefficient workflows and rework. By building a comprehensive 'agency brain' that understands clients, sites, standards, and ways of working, Dollie ensures that every AI interaction is informed by the full agency picture. This allows agencies to automate tasks like generating client reports, debugging sites, or onboarding new clients with greater accuracy and less manual intervention. Dollie supports deep integrations with development environments like Cursor, Claude Code, and VS Code, and offers a robust WordPress suite for managing sites, updates, security, and performance.

Fastmode AI

Fastmode AI

59%

Fastmode AI transforms static AI-generated websites into dynamic, production-ready CMS sites in minutes. Users can upload their AI-generated HTML, and Fastmode automatically detects content types, creating structured collections with zero configuration. The platform offers a visual editor, allowing direct, real-time content changes on the live site without backend panels or deployments. It includes robust SEO features like meta tag editing, Open Graph previews, and auto-generated sitemaps. Fastmode also provides hosting with global CDN delivery, SSL, DDoS protection, and GitHub auto-deploy. Agencies and freelancers can white-label the entire platform, offering a branded CMS experience to their clients.