Showing 1-20 of 1,599,999 packages
One Dionys (Data Anonymization Tools) - Tools to anonymize user data in web applications, ensuring privacy and compliance with data privacy regulations.
Data anonymization library for Angular
Piwik Pro SDK for React Native
n8n community node for PII and HIPAA data anonymization using Aparavi DTC API. Detect and censor personally identifiable information and healthcare data in n8n workflows.
coreenmo (Data Anonymization Tools) - Tools to anonymize user data in web applications, ensuring privacy and compliance with data privacy regulations.
Anonymize sensitive data in a controlled, pseudo-random way
CAP LLM Plugin helps developers create tailored Generative AI based CAP applications
lib to anonymize informations
Opinionated library to work with Google Datastore, implements CommonDB
Anonymize-NLP is a lightweight and robust package for text anonymization. It uses Natural Language Processing (NLP) and Regular Expressions (Regex) to identify and mask sensitive information in a string.,
The most comprehensive tabular data analysis package for Vue.js - Advanced AI, ML, Statistical Analysis, and Data Science capabilities
A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with Canvas LMS. This server provides tools for managing courses, announcements, rubrics, assignments, modules, pages, and student data through the Canvas API.
A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with Canvas LMS. This server provides tools for managing courses, announcements, rubrics, assignments, modules, pages, and student data through the Canvas API.
On-device PII anonymization module for high-privacy AI workflows
The compat-data to determine required Babel plugins
A simple key/value storage using files to persist the data
Define a data property on an object. Will fall back to assignment in an engine without descriptors.
react-native-related-digital
Open Web data by the Mozilla Developer Network
Get the byteOffset out of a DataView, robustly.