Best AI tools for< Dry-run Commit >

DryRun Security is a contextual security analysis tool designed to help organizations identify and mitigate risks in their codebase. By providing real-time insights and feedback, DryRun Security empowers security leaders, AppSec engineers, and developers to proactively secure their code and streamline compliance efforts. The tool goes beyond traditional pattern-matching approaches by considering codepaths, developer intent, and language-specific checks to uncover vulnerabilities in context. With customizable code policies and natural language enforcement, DryRun Security offers a user-friendly experience for enhancing code security and collaboration between security and development teams.

BrainAccess is an AI-enabled electroencephalography (EEG) and hyperscanning solution designed for research, brain-computer interface development, neuromarketing, and beyond. It offers dry-contact EEG electrodes, wireless connectivity, and a compact form factor for portable applications. The software supports Lab Streaming Layer (LSL) protocol, enabling synchronized EEG measurements with stimulus onsets or sensor data. BrainAccess also facilitates hyperscanning, allowing synchronized brain activity measurements from multiple individuals. The user-friendly software development kit supports multiple programming languages for device control and EEG application development.

Speechify is the #1 rated AI text to speech app in its category with over 250,000 5 star reviews. It is available as a Chrome extension, iOS app, Android app, Microsoft Edge Add-on, and web app. Speechify can convert any text into natural-sounding AI voice in over 50 languages and accents. It can also read aloud any PDF, doc, or web page. Speechify is used by students, professionals, readers, and those who struggle to read. It can help with reading comprehension, focus, and retention. Speechify is also a great tool for people with disabilities such as dyslexia, ADHD, and dry eyes.

ACE Studio is an AI Vocal Workstation that allows users to generate vocals from various professional AI vocalists by typing MIDI and lyrics. It simplifies the production of lead vocals, harmonies, backing vocals, and choirs. The platform features a next-generation AI Singing Synthesis Engine that aims to deliver natural and expressive vocal performances. Users can access over 41 AI pro-singers in English, Chinese, and Japanese for music production. ACE Studio offers tools for editing and controlling vocal emotions, converting dry vocals into MIDI clips, blending voices, and customizing AI voice models.

aicommit is a small command line tool for generating commit messages that follow the repository's existing style. It helps users create commit messages with intention, context, and external references to aid understanding of code changes. The tool offers flags like `-c` for adding context and supports retrying and dry-running commit messages. Users can also provide context to the AI for better message generation and save API key to disk for convenience. aicommit reads a `COMMITS.md` file to determine the style guide, following it if available.

Autolabel is a Python library designed to label, clean, and enrich text datasets using Large Language Models (LLMs). It provides a simple 3-step process for labeling data, supports various NLP tasks, and offers features like confidence estimation, explanations, and state management. Users can access Refuel hosted LLMs for labeling and confidence estimation, and the library supports commercial and open source LLMs from providers like OpenAI, Anthropic, HuggingFace, and Google. Autolabel aims to streamline the labeling process for machine learning tasks by leveraging state-of-the-art LLM techniques and minimizing costs and experimentation time.

KubeDoor is a microservice resource management platform developed using Python and Vue, based on K8S admission control mechanism. It supports unified remote storage, monitoring, alerting, notification, and display for multiple K8S clusters. The platform focuses on resource analysis and control during daily peak hours of microservices, ensuring consistency between resource request rate and actual usage rate.

Fabric is an open-source framework for augmenting humans using AI. It provides a structured approach to breaking down problems into individual components and applying AI to them one at a time. Fabric includes a collection of pre-defined Patterns (prompts) that can be used for a variety of tasks, such as extracting the most interesting parts of YouTube videos and podcasts, writing essays, summarizing academic papers, creating AI art prompts, and more. Users can also create their own custom Patterns. Fabric is designed to be easy to use, with a command-line interface and a variety of helper apps. It is also extensible, allowing users to integrate it with their own AI applications and infrastructure.

fount is a character card frontend page that decouples AI sources, AI characters, user personas, dialogue environments, and AI plugins, allowing them to be freely combined to spark infinite possibilities. It serves as a bridge connecting imagination and reality, a lighthouse guiding characters and stories, and a free garden for AI sources, characters, personas, dialogue environments, and plugins to grow and bloom. It integrates AI sources without the need for reverse proxy servers, improves web experience with features like multi-device synchronization and unfiltered HTML rendering, and extends companionship beyond the web by connecting characters to Discord groups and providing gentle reminders through fount-pwsh. For character creators, fount offers infinite possibilities with JavaScript or TypeScript code customization, execution of code without filtering, loading npm packages, and creating custom HTML pages. It encourages extension through modularization and community contributions.

JavaScript tokenizer for LLaMA 3 designed for client-side use in the browser and Node, with TypeScript support. It accurately calculates token count, has 0 dependencies, optimized running time, and somewhat optimized bundle size. Compatible with most LLaMA 3 models. Can encode and decode text, but training is not supported. Pollutes global namespace with `llama3Tokenizer` in the browser. Mostly compatible with LLaMA 3 models released by Facebook in April 2024. Can be adapted for incompatible models by passing custom vocab and merge data. Handles special tokens and fine tunes. Developed by belladore.ai with contributions from xenova, blaze2004, imoneoi, and ConProgramming.

Evedel is an Emacs package designed to streamline the interaction with LLMs during programming. It aims to reduce manual code writing by creating detailed instruction annotations in the source files for LLM models. The tool leverages overlays to track instructions, categorize references with tags, and provide a seamless workflow for managing and processing directives. Evedel offers features like saving instruction overlays, complex query expressions for directives, and easy navigation through instruction overlays across all buffers. It is versatile and can be used in various types of buffers beyond just programming buffers.

VideoTuna is a codebase for text-to-video applications that integrates multiple AI video generation models for text-to-video, image-to-video, and text-to-image generation. It provides comprehensive pipelines in video generation, including pre-training, continuous training, post-training, and fine-tuning. The models in VideoTuna include U-Net and DiT architectures for visual generation tasks, with upcoming releases of a new 3D video VAE and a controllable facial video generation model.

The user interface (and the main server) of the simulator of aids and social benefits for young people. It is based on the free socio-fiscal simulator Openfisca.

Obsei is an open-source, low-code, AI powered automation tool that consists of an Observer to collect unstructured data from various sources, an Analyzer to analyze the collected data with various AI tasks, and an Informer to send analyzed data to various destinations. The tool is suitable for scheduled jobs or serverless applications as all Observers can store their state in databases. Obsei is still in alpha stage, so caution is advised when using it in production. The tool can be used for social listening, alerting/notification, automatic customer issue creation, extraction of deeper insights from feedbacks, market research, dataset creation for various AI tasks, and more based on creativity.

Groq Cloud runs LLM models fast and cheap. Llama 3, Mixtrel, Gemma, and more at hundreds of tokens per second, at cents per million tokens.

PlayWord is a tool designed to supercharge web test automation experience with AI. It provides core features such as enabling browser operations and validations using natural language inputs, as well as monitoring interface to record and dry-run test steps. PlayWord supports multiple AI services including Anthropic, Google, and OpenAI, allowing users to select the appropriate provider based on their requirements. The tool also offers features like assertion handling, frame handling, custom variables, test recordings, and an Observer module to track user interactions on web pages. With PlayWord, users can interact with web pages using natural language commands, reducing the need to worry about element locators and providing AI-powered adaptation to UI changes.

llm2sh is a command-line utility that leverages Large Language Models (LLMs) to translate plain-language requests into shell commands. It provides a convenient way to interact with your system using natural language. The tool supports multiple LLMs for command generation, offers a customizable configuration file, YOLO mode for running commands without confirmation, and is easily extensible with new LLMs and system prompts. Users can set up API keys for OpenAI, Claude, Groq, and Cerebras to use the tool effectively. llm2sh does not store user data or command history, and it does not record or send telemetry by itself, but the LLM APIs may collect and store requests and responses for their purposes.

Shell-AI (`shai`) is a CLI utility that enables users to input commands in natural language and receive single-line command suggestions. It leverages natural language understanding and interactive CLI tools to enhance command line interactions. Users can describe tasks in plain English and receive corresponding command suggestions, making it easier to execute commands efficiently. Shell-AI supports cross-platform usage and is compatible with Azure OpenAI deployments, offering a user-friendly and efficient way to interact with the command line.

Flux All-In-One is a lightweight distribution optimized for running the GitOps Toolkit controllers as a single deployable unit on Kubernetes clusters. It is designed for bare clusters, edge clusters, clusters with restricted communication, clusters with egress via proxies, and serverless clusters. The distribution follows semver versioning and provides documentation for specifications, installation, upgrade, OCI sync configuration, Git sync configuration, and multi-tenancy configuration. Users can deploy Flux using Timoni CLI and a Timoni Bundle file, fine-tune installation options, sync from public Git repositories, bootstrap repositories, and uninstall Flux without affecting reconciled workloads.

DIAL Chat is a default UI for AI DIAL, recommended for learning the capability of the headless system. It offers various features like IDP support, model comparison, DIAL extensions, conversation replays, and branding. Managed as a monorepo by NX tools, it provides documentation for DIAL Chat, Theming, Overlay, and Visualizer Connector. Users can find a user guide for the AI DIAL Chat application in the AI DIAL repository.

Terraform Provider for CAST AI is a tool that allows users to manage their CAST AI resources using Terraform. It provides a seamless integration between Terraform and CAST AI platform, enabling users to define and manage their infrastructure as code. The provider supports various features such as setting up cluster configurations, managing node templates, and configuring autoscaler policies. Users can easily install the provider, pass API keys, and leverage the provider's functionalities to automate the deployment and management of their CAST AI resources.

Eval-Scope is a framework for evaluating and improving large language models (LLMs). It provides a set of commonly used test datasets, metrics, and a unified model interface for generating and evaluating LLM responses. Eval-Scope also includes an automatic evaluator that can score objective questions and use expert models to evaluate complex tasks. Additionally, it offers a visual report generator, an arena mode for comparing multiple models, and a variety of other features to support LLM evaluation and development.

Gives you a Joker for Dry January, but only if you can convince her...

Constructs and iteratively improves DryMerge YAML workflows.

Dry-witted 1950s space adventure.

dry-humor, story-driven, introspective conversations

Provides dry, accurate answers in a formal tone.

A helpful Assistant with a bit of dry British humour.

Recommends Japanese sake based on meal descriptions or photos.Sake is difficult because there are different kinds of sake, such as sweet and dry. Therefore, they suggest what kind of sake is recommended for the current meal.

Informative and expert advice on clothes dryers and their usage.

Zapytaj AI jak osuszać pomieszczenia. Po wiecej informacji wejdź na osuszaniemuru.pl

Exactly like "Laundry Buddy", but evil 😈

Ask me anything about stains, settings, sorting and everything laundry.

Provides detailed information on the fan industry.

Expert on Atopic Dermatitis research, focusing on scientifically validated information.