Coding & Development
Browsing page 330 of AI tools for Coding & Development. Sorted by confidence score — our independent quality rating.
Lobe
Lobe offers a free, easy-to-use tool for Mac and PC that enables users to train custom machine learning models by providing examples. While the desktop application is no longer under active development, the project provides various open-source repositories to support developers. These include a Python toolset for working with Lobe models, iOS and web starter projects for integrating trained models into applications, and tools for creating image-based datasets. The project also includes a kit in partnership with Adafruit for bringing machine learning ideas to life, making it a valuable resource for developers looking to implement custom ML solutions.
Dosu
Dosu reimagines knowledge management for the AI era by offering automatic knowledge capture that provides teams and agents with up-to-date information. It integrates seamlessly into existing workflows, documenting insights from coding agent sessions and updating documentation whenever source code changes. This self-documenting approach reduces token usage, increases agent speed, and maintains consistent implementations. Dosu supports various platforms like GitHub, GitLab, Slack, MS Teams, Notion, Confluence, and Coda, allowing users to sync existing documentation and maintain it in-place. It's designed for individual developers, engineering teams, and OSS maintainers, offering solutions for efficient coding, knowledge transfer, and community guidance.
Aleria
Aleria is an AI platform designed to build and operate sovereign AI systems, enabling enterprises to transform their data into operational intelligence. It offers a comprehensive ecosystem including AI Employees (role-based agents that execute tasks), custom platforms, and advanced AI models for language, computer vision, and voice. Aleria integrates with various data sources like SAP, Oracle, and Salesforce, providing deep analytics, predictive modeling, and a governed datalake. A key differentiator is its focus on sovereignty, allowing deployment on-premise or in private clouds with full data isolation and no external API calls, making it ideal for mission-critical environments where security and data governance are paramount.
Altra
Altra offers radically powerful AI-driven tools for cloud and digital transformation, specifically tailored for system integrators and service providers. Its product suite includes Dr Migrate, which performs deep, rapid AI assessments for cloud migration, provides application treatment recommendations, and optimizes cloud resource allocation for cost efficiency. SensorMine, another key product, enables the creation and deployment of IoT solutions with rapid time-to-value, leveraging a SaaS architecture and pre-built industry solution kits. Altra also provides rugged 'Nexus' sensors and advanced analytics with AI-driven data visualization for intelligent monitoring. The platform focuses on automation, real-time insights, active guidance, and cost optimization to unlock opportunities and empower fearless transformation.
Doczilla
Doczilla offers a high-performance API designed for efficient PDF and screenshot creation, ensuring scalable and reliable document delivery for developers and businesses. The platform simplifies document generation by allowing users to create, save, and manage templates using a robust HTML editor and a Handlebars-based templating system. This streamlines workflows, enabling the definition of templates once and rendering them repeatedly. Doczilla supports various image formats like PNG, JPEG, and WebP for screenshots and can convert password-protected web pages to PDFs using basic authentication. It prioritizes security, never storing data longer than necessary, and offers flexible API responses, including immediate direct responses or structured webhook callbacks. The service is designed to scale effortlessly, handling everything from hundreds to millions of documents.
Fiddler AI
Fiddler AI provides an AI Control Plane designed for enterprise agents, offering comprehensive observability, security, and governance across the entire agentic lifecycle. The platform features Agentic Observability for end-to-end visibility and control, Fiddler Trust Service for secure in-environment evaluation and guardrails, and industry-leading guardrails to protect agentic applications. It also supports AI Governance, Risk Management, and Compliance, helping enterprises mitigate bias and build responsible AI cultures. Fiddler AI integrates with major platforms like Amazon SageMaker, Google Cloud Vertex AI, NVIDIA NIM, Databricks, and Datadog, ensuring high-performing AI solutions at scale.
CaptureKit
CaptureKit offers a robust Screenshot API designed for developers to automate website screenshots, content extraction, and AI analysis. It enables users to capture pixel-perfect images in various formats like PNG, JPEG, WebP, or PDF, with options for full-page capture, CSS selector targeting, and device emulation. Beyond screenshots, CaptureKit can extract metadata, links, clean Markdown, or HTML from any URL, and integrate AI analysis for summaries, categories, and contact signals. The platform boasts edge caching, fast response times, and a global infrastructure that handles headless browsers and scaling, allowing developers to focus on their applications rather than browser management. It integrates with popular tools like Zapier, n8n, Make, and various LLMs, making it versatile for different workflows.
Picsellia
Picsellia is an end-to-end MLOps platform specifically designed for computer vision applications. It provides a comprehensive solution for managing the entire lifecycle of vision AI, from data collection and organization to model deployment and monitoring. Key features include a Datalake for centralizing visual data, advanced annotation tools with AI assistance, experiment tracking for model training, and robust deployment options. The platform supports various industries like manufacturing, agriculture, and energy, enabling teams to build and scale AI applications efficiently. Picsellia is ISO 27001 certified and offers flexible deployment options including cloud, on-premise, and hybrid configurations.
EPROLO
EPROLO is a comprehensive, free-forever dropshipping platform designed to empower e-commerce entrepreneurs. It streamlines the entire dropshipping process, from global product sourcing across 107 niches to efficient order fulfillment with 5-15 day delivery times and a 30-day shipping guarantee. A key differentiator is its custom branding service, allowing users to add personalized labels, hangtags, and packaging with no minimum order quantity, helping build a strong brand identity from the first sale. EPROLO also offers 3PL warehousing in key global locations (US, UK, EU, China) to reduce shipping times and costs. With integrations for major e-commerce platforms and dedicated customer support, EPROLO aims to make online selling accessible and profitable for over 1.6 million dropshippers.
CyArt
The live website for CyArt currently displays a bot verification page, making it inaccessible to determine its core functionalities or offerings. Based on the stored description, CyArt is a center providing services in Cyber Security, Artificial Intelligence, Web Development, and Cloud Solutions. It offers industry-guided internships and aims to enhance the community by providing resources for IT sector journeys. Additionally, CyArt offers data operations services. However, without access to the live site, specific features, pricing, or target audience details cannot be confirmed.
Tray
Tray is an AI orchestration platform designed for business automation, agent building, and enterprise integration. It provides a unified platform to run governed AI agents, deploy secure MCP (Multi-Cloud Platform) servers, and infuse intelligence into existing business processes. With over 700 pre-built connectors, Tray helps consolidate point-to-point integrations, reduce integration sprawl, and accelerate development. The platform offers centralized observability, security, and access control across agents, MCP, automation, and integration, making it suitable for global businesses looking to scale their AI initiatives and automate complex workflows.
Harver
Harver offers predictive assessments and automated solutions designed to optimize the hiring process for businesses. The platform helps organizations identify and engage top talent more efficiently, reducing time to hire and improving the quality of hires. Harver's scientifically validated assessments pinpoint candidates with high potential, leading to a significant reduction in employee turnover. It also provides customizable automation to streamline candidate progression, reducing bias and saving resources. With robust business analytics, Harver delivers actionable insights at every stage of recruitment, supporting data-driven decision-making. The tool is particularly effective for volume hiring across various industries, including BPO, contact centers, retail, and tech.
Playo
Playo is an innovative AI gameplay foundation model designed to revolutionize game development by generating full 3D games rapidly. This tool allows users to create intricate game environments and mechanics with unprecedented speed, claiming to produce a complete game in under one minute for just one dollar. Playo aims to significantly lower the barrier to entry for game development, making it accessible to a wider audience. By leveraging advanced AI, it streamlines the entire game creation process, from initial concept to a playable 3D game, enabling rapid prototyping and iteration for developers and enthusiasts alike. This focus on speed and cost-efficiency positions Playo as a powerful solution for quick game generation.
SharpAPI
SharpAPI offers pre-built AI API endpoints designed for developers across various domains including e-commerce, HR, content creation, travel, and SEO. The platform provides clean JSON responses and SDKs for every major programming language, simplifying the integration of AI functionalities into applications. Key features include product description generation, resume parsing, content automation, and sentiment analysis. SharpAPI operates on a credit-based pricing model, where each credit covers a monthly quota of processed words, API calls, and plan features. Users can add or remove credits at any time, with prorated billing adjustments. The tool also offers custom plans for high-volume users and enterprises, ensuring scalability and dedicated support.
Aigility AI
Aigility AI is designed to help enterprises build and ship production-grade, privacy-first AI applications in minutes, not months. The platform aims to be a universal layer for fast, private, and domain-specific AI, eliminating trade-offs, data leaks, and brittle workflows. It focuses on uniting speed, privacy, domain intelligence, reliability, and reusability within a single platform. Aigility AI is currently in early access, with a focus on delivering enterprise-level AI solutions that are both efficient and secure, catering to the needs of businesses looking to integrate advanced AI capabilities without compromising data integrity or development timelines.
dcgan-completion.tensorflow
dcgan-completion.tensorflow is an open-source project for image completion using deep learning, built on TensorFlow. It specifically implements the techniques described in Raymond Yeh and Chen Chen et al.'s paper, "Semantic Image Inpainting with Perceptual and Contextual Losses." The tool is primarily a modification of Taehoon Kim's DCGAN-tensorflow project, sharing its MIT license. It includes a pre-trained model for faces, trained on the CelebA dataset, making it ready for immediate use in specific image completion tasks. This repository is ideal for researchers and developers interested in exploring or applying deep learning for image inpainting.
distributed-llama
Distributed-llama is an open-source project designed to accelerate Large Language Model (LLM) inference by leveraging a cluster of connected home devices. It utilizes tensor parallelism and high-speed synchronization over Ethernet to distribute the computational load, allowing more devices to contribute to faster performance. The tool supports various operating systems including Linux, macOS, and Windows, and is optimized for both ARM and x86_64 AVX2 CPUs. It features a root node responsible for loading models and weights, and worker nodes that process slices of the neural network. Distributed-llama supports a range of Llama and Qwen models, offering commands for inference, chat, and running worker nodes, along with an API server. It also provides options for manual model conversion and supports specific quantization types.
Midjourney: AI App Guidance
Midjourney: AI App Guidance is an unofficial companion app designed to help users unlock the full potential of AI art generation with Midjourney. It addresses common challenges like crafting effective prompts and understanding complex parameters. The app features a Prompt Builder that allows users to construct detailed prompts by selecting subjects, styles, lighting, and camera angles from dropdown menus, automatically formatting the syntax. An interactive Image Weight Balancer visually demonstrates the effect of the --iw parameter, helping users balance text prompts and reference images. For creative blocks, the Inspiration Slot Machine generates unique subject and style combinations. Additionally, an Aspect Ratio Visualizer helps users choose the best frame for their creations, and a Prompt Cleaner & Optimizer refines messy prompts by removing filler words and adding quality boosters.
3D-convolutional-speaker-recognition
3D-convolutional-speaker-recognition is an open-source project providing a TensorFlow implementation of 3D Convolutional Neural Networks for text-independent speaker verification. The project leverages a 3D convolutional architecture to simultaneously capture speech-related and temporal information from speaker utterances, leading to more robust speaker models. It outlines a three-phase Speaker Verification Protocol (SVP) including development, enrollment, and evaluation stages. A key differentiator is its approach to direct speaker model creation, which is shown to significantly outperform traditional d-vector verification systems. The code uses MFECs (Mel-Frequency Energy Coefficients) as input features, discarding the DCT operation of MFCCs to preserve locality for convolutional operations. The implementation details for the 3D convolutional operations using TensorFlow Slim are provided, making it a valuable resource for researchers and developers in the field.
QiO Technologies
QiO Technologies provides advanced AI-driven solutions aimed at enhancing energy efficiency and sustainability across data centers and energy-intensive industrial sectors. The core offering, Foresight, is an autonomous AI platform that connects directly to industrial assets, control systems, and sensors to capture and transform raw data into precise operational fingerprints. It then makes zero-touch, closed-loop adjustments to optimize processes for peak performance, leading to significant reductions in energy consumption and carbon emissions. For data centers, ServerOptix™ offers specialized energy savings. QiO's solutions are proven in various industries including brick, glass, metal, ceramics & tile, paper, and food & beverages, delivering immediate gains without disruption and quick time to value.
jiwer
JiWER is a simple and fast Python package designed for evaluating automatic speech recognition (ASR) systems. It supports several key similarity measures, including word error rate (WER), match error rate (MER), word information lost (WIL), word information preserved (WIP), and character error rate (CER). These measures are computed efficiently using the minimum-edit distance algorithm, powered by the high-performance RapidFuzz library which leverages C++ for speed. The package also defines specific behaviors for empty reference and hypothesis pairs, addressing potential division-by-zero issues and allowing for testing models on silent audio. JiWER is released under the Apache License, Version 2.0, making it a robust and accessible tool for developers working with speech-to-text technologies.
Sevensense
Sevensense offers Visual AI technology designed to empower mobile robots and industrial vehicles to operate effectively in complex, dynamic environments. Their core products, Alphasense Position and Alphasense Tracker, provide industry-grade Visual-SLAM (Simultaneous Localization and Mapping) for autonomous mobile robots (AMRs) and a real-time locating system (RTLS) for manually operated industrial trucks, respectively. This technology allows for unified mapping and spatial awareness across hybrid fleets, enhancing efficiency, reducing operational costs, and improving safety through collision prevention and predictive risk alerts. Sevensense's camera-based positioning eliminates the need for extensive infrastructure, facilitating quick deployment and easy fleet expansion. The system integrates seamlessly with existing FMS, WMS, and ERP systems, transforming vehicle movements into actionable data for smarter operations.
llama2-webui
llama2-webui is an open-source tool designed for running Llama 2 models locally through a Gradio web UI. It offers broad compatibility, supporting all Llama 2 models (7B, 13B, 70B, GPTQ, GGML, GGUF, CodeLlama) and various backends like transformers, bitsandbytes (8-bit inference), AutoGPTQ (4-bit inference), and llama.cpp. The tool can be deployed on Linux, Windows, and Mac, utilizing either GPU or CPU resources. Developers can also leverage `llama2-wrapper` as a local Llama 2 backend for generative agents and applications, and it provides an OpenAI-compatible API for seamless integration with existing clients and libraries. Benchmarking scripts are included to evaluate performance on different devices.
kubewall
kubewall is an open-source, single-binary Kubernetes dashboard designed for multi-cluster management with integrated AI capabilities. It offers a rich, real-time interface for managing and investigating Kubernetes clusters, providing features like live views of cluster resources, pods, and services. The AI integration leverages models such as OpenAI, Claude 4, Gemini, DeepSeek, OpenRouter, Ollama, Qwen, and LMStudio for automated troubleshooting, configuration optimization, and smart recommendations. It supports effortless installation as a lightweight binary on Mac, Windows, or Linux, with no dependencies. Users can access it securely via any browser, with options for HTTPS setup, and benefit from in-depth resource views, powerful search and filtering, and privacy by design with zero cloud dependency. It also includes port forwarding, live refresh, and aggregated pod logs for efficient debugging and monitoring.