Analyze and humanize AI-generated text. Detect AI markers, score detection risk, and get actionable improvement suggestions.
transform humanize time to ms
Convert millisecond durations to English and many other languages.
Humanize a URL: `https://sindresorhus.com` → `sindresorhus.com`
TypeScript definitions for humanize-duration
Convert a camelized/dasherized/underscored string into a humanized one: `fooBar-Baz_Faz` → `Foo bar baz faz`
Javascript string formatter for human readability
Humanize a number (1000000 -> 1,000,000)
Comma delimit an array for human readability, the Oxford comma is optional.
A simple utility library for making the web more humane.
transfer humanize size to byte
String helpers for Ember
TypeScript definitions for humanize-plus
Transforms the input into a human friendly string.
TypeScript definitions for humanize-ms
Generate messages meant to read by humans
Convert any value to a short, human-readable string
Converts miliseconds to human-readable format.
Print logs to the console in a human-readable format.
### Getting started With any of the following options... * Download the latest script file - https://raw.github.com/siddii/angular-timer/master/dist/angular-timer.min.js * Clone the repo - `git@github.com:siddii/angular-timer.git` * Install angular-timer
Grid protocol descriptors automatically generated from the grid-fw repository!
ES6 library to convert millisecond durations to human-readable text.
A tiny module for human readable timespans.
An implementation of Humanize Duration in typescript
Rust runtime for the Humanize plugin workflows
Core library for the Humanize plugin workflows
A CLI tool that make input human-readable
A simple multilingual tokenizer for NLP tasks. This tool provides a CLI and a library for linguistic tokenization which is an anavoidable step for many HLT (human language technology) tasks in the preprocessing phase for further syntactic, semantic and other higher level processing goals. Use it for tokenization of German, English and French texts.
Provides the dedicated ace-hitl package surface for human in the loop (HITL) semantics and CLI workflows.
Tellus: Mother Earth A reverse geocoding utility for terminal. Use any CLI to change a pair of latitude and longitude to human readable addresses. This also works with csv of latitudes and longitudes.
AutoStacker24 is a small ruby gem for managing AWS CloudFormation stacks. It is a thin wrapper around the AWS Ruby SDK. It lets you write simple and convenient automation scripts, especially if you have lots of parameters or dependencies between stacks. You can use it directly from Ruby code or from the command line. It enhances CloudFormation templates by parameter expansion in strings and it is even possible to write templates in YAML which is much friendlier to humans than JSON. You can use autostacker24 cli to convert existing templates to YAML.
Production CLI for ActiveRabbit: status, incidents, explain, trace. Human and machine-readable output (JSON, Markdown). Designed for developers and AI agents.
A simple multilingual tokenizer for NLP tasks. This tool provides a CLI and a library for linguistic tokenization which is an anavoidable step for many HLT (human language technology) tasks in the preprocessing phase for further syntactic, semantic and other higher level processing goals. Use it for tokenization of German, English and French texts.
A simple multilingual tokenizer for NLP tasks. This tool provides a CLI and a library for linguistic tokenization which is an anavoidable step for many HLT (human language technology) tasks in the preprocessing phase for further syntactic, semantic and other higher level processing goals. Use it for tokenization of German, English and French texts.
A simple multilingual tokenizer for NLP tasks. This tool provides a CLI and a library for linguistic tokenization which is an anavoidable step for many HLT (human language technology) tasks in the preprocessing phase for further syntactic, semantic and other higher level processing goals. Use it for tokenization of German, English and French texts.
A simple, local kanban board backed by SQLite. Designed for AI agents and humans to manage tasks, track progress, and collaborate via CLI and TUI.
The app provides a command-line interface (CLI) to an Ollama AI model, allowing users to engage in text-based conversations and generate human-like responses. Users can import data from local files or web pages, which are then processed through three different modes: fully importing the content into the conversation context, summarizing the information for concise reference, or storing it in an embedding vector database for later retrieval based on the conversation.
RCrewAI is a powerful Ruby framework for creating autonomous AI agent crews that collaborate to solve complex tasks. Build intelligent workflows with reasoning agents, tool usage, memory systems, and human oversight. Key Features: • Multi-Agent Orchestration: Create crews of specialized AI agents that work together • Multi-LLM Support: OpenAI GPT-4, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Rich Tool Ecosystem: Web search, file operations, SQL databases, email, code execution, PDF processing • Agent Memory: Short-term and long-term memory for learning from past executions • Human-in-the-Loop: Interactive approval workflows and collaborative decision making • Advanced Task Management: Dependencies, retries, async execution, and context sharing • Hierarchical Teams: Manager agents that coordinate and delegate to specialist agents • Production Ready: Security controls, error handling, comprehensive logging, and monitoring • Ruby-First Design: Built specifically for Ruby developers with idiomatic patterns • CLI Tools: Command-line interface for creating and managing AI crews