philiprehberger-interval is an open-source Ruby library that provides an interval data type supporting open, closed, and half-open boundaries. Below are 8 frameworks & sdks apps with similar functionality to philiprehberger-interval, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
philiprehberger-counter is an open-source Ruby gem that provides frequency counting, most-common value calculation, merging, and percentage operations for collections. It is designed for Ruby developers needing efficient data analysis tools.
philiprehberger-ip_addr is an open-source Ruby library for parsing, classifying, and manipulating IP addresses and CIDR ranges. It supports IPv4 and IPv6, range operations, and provides utilities for network-related tasks in Ruby projects.
philiprehberger-rate_window is an open-source Ruby library for tracking event rates over configurable time windows. It provides rate calculations, percentiles, and is suitable for monitoring and analytics in Ruby projects.
philiprehberger-approx is an open-source Ruby library that enables epsilon-based approximate equality checks for floats, arrays, and hashes. It is useful for developers needing reliable floating-point comparisons in Ruby projects.
philiprehberger-math_kit is an open-source Ruby library offering statistical analysis, regression, interpolation, rounding, and moving averages. It is intended for Ruby developers needing advanced math functions.
philiprehberger-rate_counter is an open-source Ruby library for measuring event throughput using a sliding window. It provides real-time rate counting, peak rate detection, and snapshot features for developers needing event metrics in Ruby apps.
philiprehberger-stopwatch is an open-source Ruby gem that implements a precision stopwatch with lap timing, pause/resume, and formatted output. It is designed for developers needing accurate timing tools in their Ruby projects.
philiprehberger-rate_limiter is an open-source Ruby gem that provides in-memory rate limiting using sliding window and token bucket algorithms. It is suitable for developers needing to control request rates in Ruby applications.
