Projects sharing features with Chronic

Date and time formatting for humans.

Time calculations using business hours.

A collection of Ruby methods to deal with statutory and other holidays. You deserve a holiday!

Tiny DSL for idiomatic date parsing and formatting in Ruby

TZInfo - Ruby Timezone Library

A dirt simple library for parsing and formatting human readable dates

This is now the home of Tickle, previously found at github.com/noctivityinc/tickle

Groupdate is a PostgreSQL time series aggregator and date grouping tool. It provides a set of SQL functions to group and aggregate temporal records into discrete buckets, such as days, weeks, or months, to calculate sums and averages for reports. The project focuses on ensuring continuous timelines through time series gap filling, which inserts default values for periods where no data exists. It also includes a temporal data formatter that converts grouped date-time keys into localized strings or custom formatting patterns. The tool covers broad temporal data operations, including time range

⌛ Ruby library to compute distance of dates in words. Originally built for Jekyll.

Accurate current and historical timezones for Ruby with support for Geonames and Google latitude - longitude lookups.

Recurring events library for Ruby. Enumerable recurrence objects and convenient chainable interface.

This project is a digital book directory and academic literature library. It serves as a curated collection of multidisciplinary texts and research materials organized by subject and publication year. The system uses a subject-based content catalog to arrange electronic books into specific domains. It employs visual markers and symbol-based encoding to distinguish between free and paid content. The directory provides capabilities for technical literature discovery and academic reading list management. Users can browse materials by subject and filter titles by recency using publication dates.

This project is a comprehensive resource directory for web data extraction, providing a curated collection of tools and libraries for parsing data, automating browsers, and managing network operations. It serves as a guide for extracting structured information from HTML, XML, JSON, and PDF formats. The toolkit focuses on advanced data collection strategies, including headless browser automation to interact with JavaScript and a suite of network utilities for DNS resolution and WebSocket connections. It specifically covers methods for bypassing bot protections through proxy pool management, us

Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis

Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer

This project is a curated collection of programming exercises designed to build proficiency in numerical computing and data manipulation. It provides a structured learning path for mastering multidimensional array operations, vectorized arithmetic, and statistical analysis. The repository focuses on developing practical expertise in array-based workflows, emphasizing techniques such as memory management, efficient data processing, and the replacement of explicit loops with vectorized operations. Users engage with hands-on challenges that cover the full lifecycle of numerical data, from initia