tiny little promises, cooked to perfection.
Augur JavaScript API
Augur UI React Components
Augur UI
Augur Node
Core augur contracts and deployment process
TypeScript client library for Augur microservices API endpoints
Augur contract addresses, transactions, and error codes
Shared tooling configuration presets for Augur ecommerce sites
Shared React UI components for Augur ecommerce sites (Radix + Tailwind)
Augur HTTP API server. Drop-in Fastify wrapper around @augur-rag/core with OpenAPI docs and trace explorer compatibility.
Cross-platform React Query hooks and Zustand stores for Augur ecommerce sites
Server-side utilities for Augur ecommerce sites (Redis caching, SDK helpers, auth)
React Native/Expo adapters for Augur ecommerce apps (offline sync, biometrics, push)
Shared types, cache configuration, and utility functions for Augur ecommerce sites
Shared Tailwind CSS v4 theme with HSL variables for Augur ecommerce sites
Universal foundation for Augur packages — proxy infrastructure, cache keys, method classification, shared types
Web client for Augur, a prediction markets platform
Augur Test
Augur SDK
Augur SDK Lite
Webserver for the Augur UI
Core augur contracts and deployment process
Ethers.JS Provider Implementation for Augur API
Reverse engineering assistant that extracts strings and related pseudocode from a binary file.
A time-series toolkit for forecasting, outlier detection, clustering and more.
A high-level API for the augurs forecasting library.
Multiple Seasonal-Trend decomposition with LOESS (MSTL) using the augurs time series library.
Prophet: time-series forecasting at scale, in Rust.
Time series clustering.
ETS models for augurs
Core data structures and traits for the augurs time series library.
JavaScript bindings for the augurs time series library.
Seasonality detection using periodograms
Test framework and data for the augurs library.
Changepoint detection using Bayesian Online Change Point Detection and more.
This gem turns a twitter feed into a fortune file that you can use with the fortune program
Generate a 4 word password from words of size 3-8 characters, with frequencies in the 30th-60th percentile. This range gives a nice set of uncommon but not completely alien words. $ chbs generate --verbose -W 3..8 -P 30..60 Corpus size: 6396 candidate words of 33075 total Entropy: 48 bits (2^48 = 281474976710656) Years to guess at 1000 guesses/sec: 8926 magnate-thermal-sandbank-augur With the --verbose flag, the utility will calculate a time-to-guess based on a completely arbitrary 1000 guesses/sec. If you'd like a more secure password, either relax the various filtering rules (-W and -P), add more words to the password, or use a larger corpus. By default we use the American TV Shows & Scripts corpus taken from Wiktionary. Others provided: * Project Gutenberg 2005 corpus taken from Wiktionary. * 1 of every 7 of the top 60000 lemmas from wordfrequency.info (6900 actual lemmas after processing) See http://xkcd.com/936/ for the genesis of the idea. Data sources: http://en.wiktionary.org/wiki/Wiktionary:Frequency_lists http://wordfrequency.info/
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