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zio/zio

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4,347 stars·1,410 forks·Scala·apache-2.0·26 viewszio.dev↗

Zio

ZIO is a functional effect system for the JVM that models asynchronous and concurrent programs as pure, composable values with typed error handling and dependency injection. Its core identity is built on fiber-based concurrency, where lightweight, non-blocking fibers execute millions of concurrent tasks with structured lifecycle management, and a dual-channel error model that separates expected business failures from unexpected system defects at compile time. The system provides effect-typed dependency injection through a layer-based dependency graph, pull-based reactive stream processing with integrated backpressure, and software transactional memory for atomic, lock-free concurrent state management.

What distinguishes ZIO is its comprehensive approach to building resilient applications. It offers deterministic time simulation for testing asynchronous logic, a type-safe dependency injection system that wires service layers into a composable graph resolved at compile time, and a rich set of concurrency primitives including fibers, promises, queues, semaphores, and hubs. The platform includes a full streaming subsystem with channels, sinks, and pull-based streams, alongside sophisticated error recovery mechanisms that allow retry with configurable schedules, fallback on failure, and cause inspection for debugging. ZIO also provides a testing environment with controlled time, injectable service dependencies, and support for parallel test execution, flaky test retry, and property-based testing.

The broader capability surface covers resource management with scopes and finalizers, application monitoring through metrics and logging, configuration reading from environment variables and system properties, and integration with legacy code through callback wrapping and Future conversion. ZIO includes scheduling and automation features for repeating or retrying effects with exponential backoff, fixed intervals, and schedule composition, as well as state management with fiber-local storage, concurrent counters, and patch-based updates. The platform supports service lifecycle management with on-demand and scheduled reloading, and provides observability through fiber lifecycle tracking, distributed request tracing, and metric export to backends like Prometheus.

Documentation and installation guidance are available through the project's official website and GitHub repository, which include comprehensive API references, guides, and examples for getting started with the effect system.

Features

  • Effect Modeling - Models computations as pure, composable values with typed errors and dependencies.
  • Fiber-Based Concurrent Execution - Runs millions of lightweight, non-blocking fibers with structured lifecycle management.
  • Schedule-Based Repetitions - ZIO re-executes a successful effect at intervals defined by a configurable schedule, continuing until the schedule halts.
  • Schedule-Based Retries - ZIO re-attempts a failed effect at intervals defined by a configurable schedule, continuing until the schedule halts or the effect succeeds.
  • Channel FlatMap Sequencings - Provides flatMap-based channel sequencing that uses completion values to determine the next channel.
  • Terminal Value Channel Sequencings - Uses the completion value of one channel to determine the next channel to execute.
  • Inner Channel Concatenations - Flattens channels that emit other channels into a single sequential output stream.
  • Sequential Channel Pipings - Pipes output from one channel as input to the next, enabling sequential data transformation.
  • Sequential Channel Zippings - Combines two channels sequentially, pairing their outputs into a tuple.
  • Concurrent Stream Merging - Implements concurrent merging of multiple channels, emitting values as they become available.
  • Schedule Composition - ZIO combines multiple schedules using combinators to create complex timing policies for repeating or retrying effects.
  • Automatic Resolution & Parallel Initialization - Application dependencies are constructed as typed layers that compose horizontally and vertically, with automatic resolution and parallel initialization at startup.
  • Infallible Dependency Layers - ZIO constructs a reusable dependency that requires no inputs and cannot fail, producing a service for injection into an application.
  • Layer-Based Graph Constructions - ZIO constructs the application's dependency graph by composing ZLayer values manually or automatically to satisfy service requirements.
  • Retry-on-Change Coordination - Aborts and re-executes a transaction when a condition is unmet, retrying only after underlying data changes.
  • Software Transactional Memory Retries - ZIO automatically re-executes a transaction from the start when a conflicting change is detected, ensuring eventual success without busy-waiting.
  • Sequential Channel Map Concatenations - Maps each element to a new channel and concatenates the inner channels in order.
  • Atomic Transaction Execution - Executes blocks of operations as atomic, indivisible units with automatic rollback on failure.
  • Stream Processing - Provides asynchronous stream processing for handling continuous data flows without blocking.
  • Transactional Data Structures - ZIO provides transactional data structures like references, queues, maps, and arrays that participate in atomic, lock-free concurrent operations.
  • Scoped Context Managers - ZIO scopes a capability like file access or state to a specific region of code and eliminates it automatically when the region completes.
  • Parallel Channel Map Merges - Maps each element to a new channel and runs all inner channels concurrently, merging their outputs.
  • Environment Service Accessors - ZIO reads a specific member of a service from the environment, returning either a plain value or an effectful result.
  • Reactive Stream Processing - Provides pull-based reactive streams with integrated backpressure and composable sinks.
  • Service Lifecycle Managers - ZIO controls the creation and release lifecycle of services, ensuring proper resource cleanup.
  • Messaging Queues - ZIO transfers data between concurrent producers and consumers using an asynchronous, non-blocking queue.
  • Infallible Stream Definitions - Provides infallible stream creation as a fundamental part of its reactive stream processing capabilities.
  • Infallible Effect Aliases - Provides a type alias for effects that cannot fail and require no environment.
  • Combined Filtering and Transformation - Provides a combined filtering and transformation operation on stream elements via pattern matching.
  • Pull-Based Processing - Streams emit elements on demand with integrated backpressure, using a pull model where consumers control the flow and producers respond to downstream demand.
  • Effect Zipping - Zips two effects into a tuple, combining their success values while preserving error handling.
  • Effect-Based - ZIO starts an application from a main entry point, executing the top-level effect and managing the runtime lifecycle.
  • Task Racing - Runs two effects in parallel and returns the first successful result.
  • Compile-Time Dependency Resolution - ZIO verifies all required services are provided during compilation, preventing runtime errors from missing dependencies.
  • Configuration Readers - ZIO reads configuration values of common types like integers, strings, and booleans from environment variables and system properties.
  • Horizontal Layer Compositions - Provides horizontal layer composition as a fundamental part of its dependency injection system.
  • Non-Blocking Sleep - Provides a non-blocking sleep primitive that pauses fibers without blocking threads.
  • Parallel Task Execution - Executes multiple effects concurrently and combines results, interrupting on failure.
  • Service Dependency Wiring - Provides a type-safe, layer-based dependency injection system for composing service dependencies.
  • Pure Interface Definitions - ZIO defines service traits that never include implementation dependencies in their type signature, keeping the interface pure and reusable.
  • Typed Service Recipes - ZIO assembles a service from its required inputs using a typed recipe that can produce the service or fail during construction.
  • Stream Retries - Provides mechanisms for resetting data streams and restarting requests when network errors occur.
  • Fiber-Based Background Tasks - Forks fibers to run tasks in the background, returning handles for awaiting or cancellation.
  • Fiber Terminations - Terminates a fiber immediately with guaranteed resource cleanup.
  • Safe Fiber Interruptions - Provides a safe, reliable mechanism for terminating running fibers.
  • Interface-Based Decoupling - ZIO programs to interfaces rather than concrete classes so different implementations can be swapped in without changing dependent code.
  • Type-Level Dependency Declarations - Declares service dependencies at the type level for compile-time safety and automatic tracking.
  • Resilient Application Patterns - Provides application-level patterns that use automatic retries to handle intermittent failures in logic.
  • Environment Service Retrieval - Retrieves service implementations from the execution environment using type-safe accessors.
  • In-Memory Queue Capacity Strategies - ZIO creates bounded or unbounded queues with back-pressure, dropping, or sliding strategies to manage memory and flow.
  • Sequential - Chains effects sequentially with flatMap, passing results and short-circuiting on failure.
  • In-Memory Publish-Subscribe Hubs - ZIO publishes values from one or more producers to many subscribers through an asynchronous, non-blocking message hub.
  • In-Memory Queue Batch Enqueueing - ZIO adds multiple values to a queue in a single operation, suspending only when the queue is full.
  • Callback Wrapping - ZIO wraps legacy callback-based asynchronous code into a composable effect that supports error handling and for-comprehension syntax.
  • Daemon Fibers - Spawns fibers that run as daemons, outliving their parent scope until application shutdown.
  • Blocking I/O Offloading - Ships a dedicated blocking thread pool to offload synchronous I/O and CPU-heavy calls.
  • Concurrency Primitives - Provides low-level synchronization primitives like semaphores and mutexes for building concurrent applications.
  • Effectful Comprehensions - Enables imperative-style composition of asynchronous effects using Scala's for-comprehension syntax.
  • Untyped Defect Terminations - Provides a mechanism to immediately terminate an effect with an untyped defect for non-recoverable errors.
  • Typed Failure Recovery - Attempts a primary effect and runs a fallback effect to produce a result when the primary fails.
  • Effectful Stream Modeling - Models streams as effectful programs that emit values with typed errors and environment requirements.
  • Infallible Effect Execution - Executes effects with a Nothing error type, guaranteeing at compile time that no error will occur.
  • Infallible Effect Execution with Environment - Executes infallible computations that require an environment, guaranteeing no failure.
  • Custom Environment Execution - ZIO builds a runtime that holds a user-supplied environment and uses it to execute effects that depend on that context.
  • Effect Repetition Policies - Re-executes a failing effect according to a configurable schedule until success or policy exhaustion.
  • Fixed Count Repetitions - ZIO repeats an effect a specified number of times and then stops.
  • Infinite Repetitions - ZIO repeats an effect indefinitely, producing the current repetition count.
  • Transparent Async Composition - ZIO writes sequential-looking code that transparently handles both synchronous and asynchronous execution paths.
  • Fiber-Based Virtual Threads - Executes lightweight virtual threads that scale to hundreds of thousands of instances.
  • Fiber Executions - Launches lightweight fibers that execute tasks in parallel with safe concurrency guarantees.
  • Fiber Lifecycle Managers - Manages concurrent work units as fibers with supervision, interruption, and composition.
  • Typed Concurrent Computations - Models concurrent work with typed error and success values for safe composition.
  • Lazy Effect Modeling - Represents programs as lazy data structures that describe computations, interpreted later by a runtime.
  • Service Layer Initializers - Provides parallel initialization of service layers to shorten application startup time.
  • Program Entry Points - ZIO defines a class with a run method that the JVM calls automatically, turning a ZIO effect into a standalone executable.
  • Runtime Effect Execution - Implements operators that directly execute side effects when called, producing results immediately.
  • Default Runtime Execution - ZIO creates a runtime from a shared default and calls its synchronous or asynchronous execution methods to run effects anywhere in legacy code.
  • Transactional Alternatives - Provides compositional alternative logic for STM transactions, falling back on retry.
  • Service Replacements - Provides service replacement within dependency injection layers as part of its DI system.
  • Dependency Requirement Pass-Through - Preserves intermediate service dependencies through composed layers in its dependency injection system.
  • Algebraic Data Types - Models domain data using product and sum types for type-safe, boilerplate-free representations.
  • Type-Level Service Maps - Maintains a type-safe mapping from service interfaces to implementations for on-demand retrieval.
  • Asynchronous Service Initialization - ZIO creates service instances from asynchronous or effectful computations using ZLayer.fromZIO or ZLayer.apply.
  • Asynchronous Workflow Management - Describes a unit of computation as a typed blueprint that either fails with an error or succeeds with a value.
  • Transactional Memory Compositions - Combines multiple memory operations into atomic, isolated units for lock-free concurrent state management.
  • Concurrency Semaphores - ZIO limits concurrent access to a resource by acquiring and releasing permits, suspending fibers when permits are unavailable.
  • Fiber Context Propagation - ZIO passes the parent fiber's FiberRef value to a newly forked child, giving it an independent copy to modify.
  • FiberRef State Inheritances - ZIO preserves the parent fiber's current FiberRef value in child fibers, keeping the ThreadLocal synchronized for each forked fiber.
  • Fiber Data Exchange - ZIO transfers values between concurrent fibers through an in-memory queue with back-pressure, offer, and take operations.
  • Fiber Interruptions - Provides non-blocking fiber interruption that lets the caller proceed immediately.
  • Fiber Outcome Capture - Retrieves the full exit status of a fiber, distinguishing success, failure, and interruption.
  • Promise-Based - ZIO allows one fiber to produce a value that many other fibers can await, enabling safe one-time synchronization points.
  • Concurrent Effect Combinators - Builds complex concurrent logic by combining small transactional steps with combinators.
  • Conditional Retry Policies - Repeats a failing effect until its error satisfies a predicate, with optional effectful checks.
  • Predicate-Based Retries - Provides a retry mechanism that repeats a failing effect while its error satisfies a predicate.
  • Constructor Injection - ZIO accepts all service dependencies through the class constructor rather than pulling them from the environment at runtime.
  • Effectful Constructor Wiring - ZIO passes dependencies into a service's class constructor and creates a ZLayer that effectfully retrieves those dependencies from the environment.
  • Contextual Capability Composition - ZIO combines workflows that require local capabilities as first-class values that naturally compose without explicit parameter passing.
  • Domain Type Definitions - Extracts core domain models and packages them with orthogonal operators into single data types.
  • Dynamic Dependency Overriding - ZIO replaces a subset of global dependencies for a specific part of the application, similar to method overriding in OOP.
  • Global Dependency Provision - ZIO supplies all required services to the entire application at once at the program's entry point.
  • Dependency-Free Stream Definitions - Provides dependency-free stream creation as a fundamental part of its reactive stream processing capabilities.
  • Deterministic Simulation Environments - Ships a deterministic simulation environment with controlled time and injectable services.
  • Domain Error Mapping - Provides translation of error types between different logical domains to ensure exhaustive failure handling.
  • Dual-Channel Error Models - Expected business failures and unexpected system defects are separated into distinct type channels, enabling compile-time tracking and targeted recovery without exception handling.
  • Channel Type Conversions - Ships a full set of channel-to-stream, channel-to-sink, and channel-to-queue conversions for interoperability.
  • Effect State Management - ZIO reads and writes a typed value during an effect's execution, providing a state monad-like experience built on fiber-local storage.
  • Effectful State Updates - Enables atomic state changes that depend on side effects like database queries within functional effects.
  • Expected and Unexpected Failure Separation - Separates recoverable errors from unrecoverable defects at compile time using a dual-channel model.
  • Defect Signaling - Provides mechanisms for triggering untyped errors that bypass standard recovery channels to indicate non-recoverable system failures.
  • Expected Error Handling - Provides expected error handling to catch and recover from anticipated failures using typed channels.
  • Defect to Failure Conversion - Converts untyped system defects into typed failures for recovery within the effect system.
  • Defect Sandboxing - Provides defect sandboxing to isolate unrecoverable failures within bounded application regions.
  • Fallback Defect Unrefinement - Provides fallback defect unrefinement to convert selected defects into typed errors with a fallback mapping.
  • Failure to Defect Conversion - ZIO translates an effect's typed failure into an unchecked defect that terminates the running fiber, for errors that cannot be recovered from.
  • Defect to Typed Error Unrefinement - Ships a mechanism to convert specific defects into typed, recoverable errors.
  • Error Type Transformations - Ships error type transformations to align error types across composed effects.
  • Exhausted Retry Fallbacks - Runs a fallback effect when all retry attempts fail, using the last error and schedule output.
  • Error Type Refinement - Provides filtering logic that allows specific error types to propagate while terminating the fiber for others.
  • Effect Error to Either Exposures - Converts a fallible effect into an infallible one that produces a Scala Either, moving errors into the success channel.
  • Cumulative Error Collection - Runs effects concurrently and gathers all failures into a combined cause without interrupting other effects.
  • Error Propagation Systems - Implements typed error propagation through effect pipelines without handling.
  • Error Recovery - Provides error recovery with retry, fallback, and alternative logic for declared failures.
  • All Error Catchers - Catches every recoverable error from an effect and runs a fallback effect, potentially changing the error type.
  • Specific Error Catchers - Catches only specific types of recoverable errors from an effect and runs a fallback effect for those cases.
  • Success and Failure Processing - Provides operators that consume both success and failure channels of an effect to determine a final result.
  • Failure Cause Extraction - Provides extraction of the detailed cause of a failure from the error channel into the success channel for analysis.
  • All Cause Recoveries - Provides operators that catch failures, defects, and fiber interruptions together and run a fallback effect.
  • Error Cause Mapping - Provides error cause mapping to transform failure causes without exposing them in the success channel.
  • Failure-to-Success Lifting - Lifts potential failures into the success channel as Either values, making effects infallible.
  • Fiber Lifecycle Management - ZIO monitors the creation and termination of fibers, collecting their status into a visible value for inspection.
  • Fiber Result Awaiting - Waits for a forked fiber to complete and retrieves its success value.
  • Fiber-local State Management - Isolates state per lightweight fiber to prevent interference between concurrent execution units.
  • Fiber State Merging - ZIO combines a child fiber's state with its parent's state when the child fiber joins, using a merge strategy defined by the state type.
  • Cross-Fiber State Sharings - Provides mutable references that multiple concurrent fibers can safely read and update.
  • Automatic Graph Resolutions - ZIO assembles a tree of service layers by declaring their inter-dependencies, then resolves the graph automatically at startup.
  • Composable Graph Operators - ZIO combines service constructors with operators like ++ and >>> to build typed, composable dependency graphs.
  • Effectful Dependency Builders - ZIO uses ZLayer to create services that require effectful initialization, supporting concurrency and resource safety during construction.
  • Macro-Based Graph Resolvers - ZIO generates the full dependency graph from provided layers using macros, eliminating manual assembly of services.
  • Automatic Layer Resolutions - ZIO combines multiple service layers into a single dependency graph that resolves automatically at startup.
  • Layered - ZIO constructs higher-level services from lower-level ones using a layered dependency injection mechanism that hides implementation details.
  • Test Service Injections - Swaps real service dependencies with test implementations for deterministic, type-safe testing.
  • Service Layer Composition - Provides a type-safe, composable layer system for wiring service dependencies.
  • Resource Acquisition and Release - Guarantees resource acquisition and release even on failure, interruption, or defects.
  • Composable Scopes - Provides composable scoped resource handles with guaranteed cleanup on scope exit.
  • Scoped Resource Lifting - ZIO acquires and releases resources safely by lifting scoped ZIO effects into layers with ZLayer.scoped.
  • Resource Lifecycle Management - Defines resource lifetimes through scopes with guaranteed finalizer cleanup on scope close.
  • Resource Management Patterns - Automatically acquires and releases resources to prevent leaks on failure or interruption.
  • Guaranteed Finalizers - Guarantees cleanup actions execute when a fiber finishes or is interrupted.
  • Automatic Computation Cancellation - Automatically cancels fibers whose results are no longer needed, preventing resource leaks.
  • Layer-Based Configuration Overrides - ZIO overrides runtime configuration for a region of code by providing configuration layers through provideXYZ operators.
  • Service Implementation Overriding - ZIO supplies distinct concrete instances of the same abstract service to different consumers within the same application.
  • Interface-Based Service Swapping - ZIO defines service interfaces and injects different concrete implementations through layers, enabling modular and testable code without changing application logic.
  • Fallible Effect Execution with Environment - Executes fallible effects that require an environment, handling errors and dependencies.
  • Fallible Task Execution - Runs fallible tasks with no dependencies, simplifying error handling for general-purpose workflows.
  • Discarding Side Effects - Provides operators to zip effects while discarding the result of one side.
  • Recursive State Passing - Passes updated state as arguments to recursive function calls, eliminating mutable variables.
  • Software Transactional Memory - Atomic, lock-free transactions compose memory operations across fibers with automatic retry on conflict, providing consistent shared state without manual synchronization.
  • Fiber Execution Scopes - Attaches fibers to scopes that outlive parents but terminate when the scope closes.
  • Global Daemon Fibers - Forks fibers in the global scope that persist until application shutdown.
  • Parent-Scoped Child Fibers - Automatically interrupts child fibers when the parent completes, preventing leaks.
  • Stream Failure Recovery - Provides mechanisms for handling errors during asynchronous data stream processing by switching to fallbacks.
  • Success Value Filtering - Applies a pure function to the success value of an effect, producing a new effect with the transformed result.
  • Type-Safe Dependency Resolution - Wires service layers into a composable dependency graph resolved at compile time.
  • Effect-Typed Dependency Injections - Services are wired into a composable graph resolved at compile time through type-safe layers that track dependencies in the effect's environment type parameter.
  • Typed Error Management - ZIO catches and recovers from typed errors in a ZIO effect, allowing the program to continue with an alternative value or effect.
  • Uninterruptible Critical Sections - Prevents fiber interruption during critical sections, delaying interruption until completion.
  • Service Layer Initializers - Provides parallel initialization of service layers to shorten application startup time.
  • Application Metric Tracking - ZIO captures counters, gauges, histograms, summaries, and frequencies as ZIO aspects to monitor application health and performance.
  • Automatic Error Logging - ZIO logs every error that escapes a ZIO effect through the runtime system, and allows a custom logging backend to intercept and format those errors.
  • Effect Timeouts - Ships a built-in timeout mechanism that interrupts effects exceeding a configurable duration.
  • Full Cause Inspectors - Provides operators that inspect the complete cause of a failure including typed errors, defects, and interruptions.
  • All Failure Cause Inspectors - ZIO exposes the full cause of an effect—failure, defect, or interruption—as typed data so each can be handled separately.
  • Channel Executors - Provides channel execution primitives that return only the done value.
  • Channel Output Collectors - Provides channel output collection returning both values and done value.
  • Blocking Code Offloading - Offloads blocking operations to a dedicated thread pool to keep the main fiber pool responsive.
  • Blocking Work Offloaders - ZIO runs CPU-heavy or blocking input/output tasks on a separate thread pool so they do not slow down the main execution threads.
  • Retry Policies - Retries failed dependency layer construction with configurable schedules for resilience.
  • Failure Trace Handlers - Provides operators that access the execution trace alongside the failure value for context-aware error handling.
  • Stream Separator Insertions - Provides stream operators that insert separators between elements.
  • Collection Element Transformations - Provides collection element transformations that filter and map elements in a single step.
  • Channel Element Collectors - Provides channel element collection into a single output or terminal value.
  • Collection Constructions - Constructs immutable collections from arrays, iterables, or filling functions without boxing.
  • Timeout Result Producers - ZIO returns a user-specified value instead of None when an effect times out, allowing flexible result types.
  • Patch-Based Concurrent Updates - ZIO uses a Differ to combine independent modifications from multiple fibers into a single, conflict-free result.
  • Channel Output Buffers - Provides configurable output buffering for channel data flow.
  • Batch Stream Processors - Provides batch stream processing that handles elements as chunks for performance.
  • Scoped Channel Executions - Executes channels within scopes to ensure finalizers run before channel closure.
  • Stream Deduplication - Provides stream deduplication by tracking seen values and passing only unique items downstream.
  • Recursive Channel Composers - Provides recursive channel composition for building complex streaming pipelines.
  • Deep Equality Checks - Checks whether two collections contain the same elements in the same order using structural equality.
  • Automatic Resource Replacement - Provides atomic scoped references that automatically release old resources on update.
  • Safe Swaps - Swaps resources safely in an uninterruptible block, releasing old only after new acquisition.
  • Fiber-Safe Counters - ZIO creates a thread-safe counter that multiple fibers can increment and decrement atomically without race conditions.
  • Concurrent Sink Racing - Provides concurrent sink racing that returns the result of the first sink to complete.
  • Fibonacci Delay Repetitions - ZIO repeats an effect with delays that grow according to the Fibonacci sequence.
  • Stream Fan-Outs - Provides stream broadcasting with backpressure to multiple consumers.
  • Transactional Hubs - Publishes messages to a hub within STM transactions, ensuring atomic delivery to all subscribers.
  • Transactional Subscriptions - Subscribes to a transactional hub to receive messages as a stream within STM transactions.
  • Reentrant Locks - Acquires reentrant locks that the same fiber can re-enter multiple times.
  • Non-Blocking Lock Attempts - Attempts to acquire locks without blocking, returning immediately with success or failure.
  • Reentrant Lock Releases - Releases reentrant locks, decrementing hold counts and waking waiting fibers.
  • Deterministic Time Simulation - The testing environment provides a virtual clock that controls time passage, enabling deterministic validation of asynchronous logic and schedule-based effects without real delays.
  • Callback-to-Effect Adapters - Wraps callback-based asynchronous APIs into composable effects with error handling.
  • Custom Runtime Builds - ZIO builds a custom top-level runtime by unsafely converting a configuration layer for full application-wide customization.
  • Pure Value Effects - Lifts pure values and lazy expressions into the effect system for uniform composition.
  • Fixed Delay Repetitions - ZIO repeats an effect continuously with a fixed delay between each execution.
  • Fixed Interval Repetitions - ZIO repeats an effect at a constant time interval, producing the count of repetitions so far.
  • Effect Type Conversions - Converts standard functional types like Either into managed asynchronous effects.
  • Exponential Backoff Retries - Implements exponential backoff retry with configurable schedules and optional time limits.
  • Fiber-Based - ZIO configures the runtime to use Java virtual threads for the main executor or the blocking executor on JDK 21+.
  • Fiber Status Inspections - ZIO checks whether a fiber is done, running, or suspended to understand its execution state.
  • Collection Format Conversions - Transforms immutable collections into mutable arrays or standard sequences for interoperability.
  • Unsafe Effect Execution - ZIO executes a ZIO effect by feeding it directly into the runtime's unsafe run method for integrating with legacy code.
  • Stream Sinks - Provides stream sinks that process all elements and produce a final result.
  • Parallel Sink Processing - Provides parallel sink processing with concurrent execution and result aggregation into tuples.
  • Conditional Element Droppings - Removes elements from the start of a collection based on count or a predicate.
  • Atomic MVar Updates - Provides atomic updates on single-element blocking buffers for fiber synchronization.
  • Automatic Permit Management - Automatically acquires and releases permits for concurrency control within functional effects.
  • Transactional Permit Acquisitions - ZIO acquires and releases permits atomically within a single transaction to coordinate access to a shared resource.
  • Automatic Permit Wrapping - Wraps arbitrary actions with automatic permit acquisition and release to prevent manual errors.
  • Fiber Synchronization - Synchronizes fibers with single-element buffers that block on put when full and take when empty.
  • Execution Coordination - Coordinates fibers with latches that block until a signal is received.
  • Permit-Based Fiber Blocking - Suspends fibers when permits are unavailable and resumes them once permits become free.
  • Channel Pipers - Provides channel piping for sequential data transformation and flow.
  • Channel Readers - Provides channel primitives for reading data from input ports.
  • Channel Writers - Provides channel primitives for writing data to output ports.
  • Unique Instance Provisioning - Supports creating fresh, independent instances of dependencies on demand.
  • Selective Defect Resurrections - ZIO converts only die causes into typed failures, leaving interruptions untouched for separate handling.
  • Partial Function Unrefinements - ZIO converts selected defects into typed errors using a partial function, leaving unmatched defects unrecoverable.
  • Error Channel Chaining - Provides operators for chaining effects on the error channel, enabling error-driven workflows.
  • Fatal Error Handlers - Provides specialized logic for managing critical system failures and forced shutdowns.
  • Partial Function Refinements - ZIO converts selected typed errors into defects using a partial function, keeping only matched errors in the typed channel.
  • Stream Error Type Conversion - Ships built-in conversion between stream-level error channels and value-level error types like Either.
  • Sequential Error Collections - ZIO combines failures from multiple chained effects into a single cause instead of stopping at the first error.
  • Timeout Error Producers - ZIO produces a specific error or failure cause when an effect exceeds its time limit, enabling precise error handling.
  • Stream Merging - Provides deterministic stream interleaving operators that alternate elements in a fixed order.
  • Cause Exposure Reversals - Provides operators that restore a cause from the success channel back to the error channel.
  • Success and Failure Partitioning - ZIO separates the outcomes of an effectful transformation into a tuple of collected errors and successes without failing the overall effect.
  • Either Submersions - ZIO converts an Either value in the success channel back into a potential failure in the error channel.
  • Fiber Failure Tracing - Captures the complete chain of errors, defects, and interruptions that caused a fiber to fail.
  • Keyed Resource Pools - Manages reusable resource pools indexed by keys with retrieval and invalidation per key.
  • Dynamic-Size Pools - Creates dynamic-size keyed resource pools with idle expiration and configurable limits.
  • Fixed-Size Pools - Creates fixed-size keyed resource pools with per-key capacity configuration.
  • Singleton Instance Sharing - Reuses a single dependency instance across all consumers to avoid redundant initialization.
  • Multiple Permit Acquisitions - Acquires multiple permits atomically before task execution and releases them automatically.
  • Bounded Stream Buffers - Provides bounded stream buffering with backpressure between producers and consumers.
  • In-Memory Communication Channels - Implements in-memory communication channels with backpressure for producer-consumer data exchange.
  • Execution Order Controls - Controls finalizer execution order with reverse acquisition or parallel execution options.
  • Scoped Lock Execution - Acquires locks for scoped effects and automatically releases them when the scope ends.
  • Scoped Service Instances - Creates isolated service instances to prevent shared mutable state across consumers.
  • Fallback Policies - Switches to alternative service implementations when primary dependency layers fail.
  • Side-Channel Data Accumulation - Provides side-channel data accumulation for tracking state across channel operations.
  • Synchronous Effect Wrapping - Wraps synchronous code that may throw exceptions into safe, composable effects.
  • Stack Trace Recoveries - ZIO catches a typed error along with its stack trace and runs a fallback effect that can inspect the trace.
  • Lifetime Extensions - Extends resource lifetimes across scopes by providing scoped workflows without immediate closure.
  • Stream Aggregation - Groups stream elements into batches, balancing throughput and latency with configurable schedules.
  • Synchronous Aggregators - Provides synchronous stream aggregation using transducers for batching.
  • Stream Element Consumption - Provides stream sinks that consume elements and produce a final result.
  • Stream Element Debouncing - Provides stream debouncing that suppresses elements followed by another within a time window.
  • Stream Element Distribution - Ships a stream element distribution primitive that routes elements to downstream queues via a decision function.
  • Distinct Element Filtering - Provides stream operators that filter out consecutive duplicate elements based on equality.
  • Predicate-Based Filters - Provides stream filtering operators that keep elements matching a predicate.
  • Stream Element Grouping - Provides stream element grouping by key-extraction functions.
  • Stream Element Limiting - Provides stream element limiting operators for taking or skipping elements.
  • Element Batching - Provides stream element batching grouped by size or time intervals.
  • Element Mappings - Provides stream element transformation via pure or effectful functions.
  • Stream Element Observation - Provides stream observation that runs side-effects on each element without altering the stream.
  • Emission Timeouts - Provides time-based constraints on the production of elements within a data stream, failing or switching sources on timeout.
  • Stream Output Discarding - Provides stream output discarding that executes effects while removing all values.
  • Stream Splitting - Ships a stream splitting operator that divides a stream by a predicate.
  • Stream State Accumulation - Provides stream state accumulation that emits every intermediate fold result.
  • Multi-Level Message Emission - ZIO emits log entries at debug, info, warning, error, or fatal severity so developers can filter messages by importance.
  • Fiber Supervision - ZIO attaches a supervisor to a ZIO effect so that all child fibers report their lifecycle events to it.
  • Fiber-Scoped - ZIO attaches custom key-value pairs to log entries to correlate messages across fibers or services.
  • Metric Tagging Utilities - ZIO attaches key-value pairs to a metric so it can be sliced, filtered, and aggregated by those dimensions in monitoring dashboards.
  • JVM Metrics Collectors - ZIO collects standard JVM metrics such as memory usage, garbage collection, thread counts, and class loading for monitoring.
  • Multi-Backend Metric Exporters - ZIO sends captured metric snapshots to external services like Prometheus, Datadog, New Relic, or StatsD for centralized analysis.
  • Prometheus-Formatted HTTP Endpoints - ZIO exposes collected JVM metrics as a Prometheus-formatted endpoint for external scraping and monitoring.
  • Distributed Tracing - ZIO traces a request's path through multiple services in a distributed system to identify bottlenecks and latency hotspots.
  • Automatic Span Timing - ZIO measures the duration of a named code block and includes the elapsed time in every log entry emitted inside it.
  • Test Retry Strategies - Re-executes failing tests up to a configurable number of times to tolerate intermittent failures.
  • Test Environment Provisioning - Sets up a controlled test environment with configurable services and dependencies for isolation.
  • Parallel Test Execution - Executes all tests within a suite concurrently to reduce total execution time.
  • Stream Combinators - Provides stream concatenation and flattening operators for sequential composition.
  • Effect State Inspection - Inspects the outcome of an effect as either a success value or a failure with a full cause chain.
  • Stream Error Cleanups - Provides operators for running cleanup side-effects when a stream fails, without altering the stream's output.
  • Schedule-Based - ZIO re-executes a successful effect on a schedule, but runs a fallback handler if the schedule itself fails.
  • Test Aspects - Provides reusable test aspects that modify test behavior without changing test logic.
  • Functional Reactive Programming - Type-safe library for async and concurrent programming.

Star history

Star history chart for zio/zioStar history chart for zio/zio

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does zio/zio do?

ZIO is a functional effect system for the JVM that models asynchronous and concurrent programs as pure, composable values with typed error handling and dependency injection. Its core identity is built on fiber-based concurrency, where lightweight, non-blocking fibers execute millions of concurrent tasks with structured lifecycle management, and a dual-channel error model that separates expected business failures from unexpected system defects at compile time. The system…

What are the main features of zio/zio?

The main features of zio/zio are: Effect Modeling, Fiber-Based Concurrent Execution, Schedule-Based Repetitions, Schedule-Based Retries, Channel FlatMap Sequencings, Terminal Value Channel Sequencings, Inner Channel Concatenations, Sequential Channel Pipings.

What are some open-source alternatives to zio/zio?

Open-source alternatives to zio/zio include: gevent/gevent — Gevent is a Python coroutine concurrency library and asynchronous task manager designed for high-concurrency I/O… wren-lang/wren — Wren is an embeddable, class-based scripting language and bytecode interpreter. It provides a dependency-free virtual… amphp/amp — Amp is a non-blocking concurrency framework for PHP. It provides a core infrastructure for writing asynchronous… puniverse/quasar — Quasar is a JVM concurrency framework that implements the actor model and a lightweight thread library. It provides… danog/madelineproto — MadelineProto is an asynchronous PHP library that provides a programmatic interface for interacting with the Telegram… janet-lang/janet — Janet is a Lisp-based dynamic programming language featuring a register-based bytecode virtual machine and an…