A volatile, in memory storage driver for localForage.
Volatile redis clustering implementation
volatile memory DB for local mocking
Volatile Vaults SDK
A pi extension that prevents volatile runtime data from being persisted to settings.json
Volatile namespaces for Primus
Universal volatile state manager — persistent, toggleable patch layers for any file
In-memory, volatile key-value store database.
Interactive CLI for screening volatile cryptocurrencies across exchanges.
ES6 Map object whose values are deleted after a TTL
Volatile Vaults SDK
Volatile wrapper around extratorrent.cc
Family→ID resolver for LLM provider models. Stable family references (e.g. anthropic:opus) resolved to volatile concrete model IDs with deprecation + price-ceiling awareness. Per ADRs 0007, 0010.
Just a tiny wrapper around volatile ampersand states
A volatile, in-memory key-value JSON store.
minimal in memory completely volatile cache store with a "stale concept"
Very quick and simple non-volatile cache
A volatile, in-memory file store.
This application enables users to track their cryptocurrency investments, monitor market prices, and analyze portfolio performance, empowering them to make informed decisions in the volatile crypto market.
A volatile, in-memory key-value JSON cache.
Ｄｏｗｎｌｏａｄ ｅｂｏｏｋ ｐｄｆ ｍｏｂｉ ｅｐｕｂ Bree Dahlia Volatile is available now
A tiny JS library which provides an elegant UI for user to input one time passcode (OTP). It features robust checks to handle edge cases for the highly volatile user inputs. We provide default UI but you can customize the appearance as you like.
ECMAScript reserved words checker
TickMap & TickSet are variations of Map and Set whose contents are cleared every tick. Useful for eg memoization based on highly volatile data.
Volatile wrapper types for raw pointers
OptionStratLib is a comprehensive Rust library for options trading and strategy development across multiple asset classes.
A coupling analysis tool for Rust projects - measuring the 'right distance' in your code
A comprehensive Rust library for time series analysis and forecasting including moving average, exponential smoothing, autoregressive, and GARCH models
Primitive volatility vocabulary for RustUse quantitative crates
A zero-cost, type-safe DSL for MMIO and volatile register mapping with compile-time access control (RO/RW/WO).
OptionChain-Simulator is a lightweight REST API service that simulates an evolving option chain with every request. It is designed for developers building or testing trading systems, backtesters, and visual tools that depend on option data streams but want to avoid relying on live data feeds.
Arbitrage-free SVI volatility surfaces in pure Rust. Raw, Jump-Wings and SSVI parametrisations, calibration, and static-arbitrage checks. Zero dependencies.
Terminal environment variable manager with TUI and CLI
Rolling statistics for technical analysis in backtesting and live trading systems.
A library for managing volatile memory
Volatile access to memory mapped hardware registers
Implements key-based cache that can have a least-recently-used or time-to-live expiration strategy
A Ruby wrapper for Volatile, a key-value pair API that everyone can use.
Provides volatile counter cache logic to ActiveRecord::Base.
The command line tool calculates the SCV metric for a Git repo
Calculate greeks (iv, delta, gamma, vega, rho, theta)
Pure-Ruby implementation of Black-Scholes European and CRR Binomial American option pricing with delta, gamma, theta, vega, rho, and Brent's-method implied volatility. No Python, no QuantLib system dep, no native code.
High method and class churn has been shown to have increased bug and error rates. This gem helps you know what is changing a lot so you can do additional testing, code review, or refactoring to try to tame the volatile code.
The VolatileDB gem allows you to specify a key and an action yielding a particular piece of data. This data will be stored in the /tmp folder of the file system you are currently running on. Data is accessible by key. Data will be read and written to storage using File.read() and File.open() -- that's it. It's up to the consuming application to serialize and deserialize data correctly. All VolatileDB does is push and pull data to the FS. If the underlying file supporting the data is found to be missing, it will be re-initialized. This gets to the main idea behind VolatileDB: use it to persist data that is transient and can be re-seeded periodically as conditions change.
High method and class churn has been shown to have increased bug and error rates. This gem helps you know what is changing a lot so you can do additional testing, code review, or refactoring to try to tame the volatile code.
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