Results for sqrl

SQRL (A Safe, Stateful Rules Language for Event Streams) - engine

SQRL (A Safe, Stateful Rules Language for Event Streams) - internal shared code

SQRL (A Safe, Stateful Rules Language for Event Streams) - functions for querying data

SQRL (A Safe, Stateful Rules Language for Event Streams) - functions for loading data

SQRL (A Safe, Stateful Rules Language for Event Streams) - functions intended for command line tools

SQRL (A Safe, Stateful Rules Language for Event Streams) - functions for storing state in redis

SQRL (A Safe, Stateful Rules Language for Event Streams) - functions for working with text

Tag-aware linter, formatter, and Prettier plugin for Squirrelly (.sqrl) templates

SQRL authentication

SQRL (A Safe, Stateful Rules Language for Event Streams) - helpers for writing tests

SQRL (A Safe, Stateful Rules Language for Event Streams) - command line tools

# `sqrl-example-functions` package

``` const sqrl = require('@ashnazg/squirrelnado'); require('@ashnazg/squirrelnado-psql')(sqrl); require('@ashnazg/squirrelnado-difftable')(sqrl);

- update `MessageTypes.ts` according to your needs - bump up version in `package.json` - `npm run build` (fix errors if any appear) - `npm publish` - now in other projects do `yarn install @agency-azul/sqrl-messages@latest` to get a new version

In memory SQRL store

Data store for SQRL using DynamoDb

SQRL store for Postgres

Server side implementation of GRC's SQRL authentication protocol for Node.js. See https://www.grc.com/sqrl/sqrl.htm

ExpressJS and PassportJS implementation of the Secure Quick Reliable Login protocol from Gibson Research

This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app).

This authenticator is meant to be used with [Scatter](https://get-scatter.com/) and [Universal Authenticator Library](https://github.com/EOSIO/universal-authenticator-library). When used in combination with them, it gives developers the ability to request

This package includes some sample code to fetch live changes happening on Wikipedia and output them including the diff of what changed.

Run a pipeline of analytics descibed as metadata of a datapackage, give them some inputs and package the outputs adding resources to the data package.

This package is part of the datasqrl website. It is responsible for displaying the deployment graph.