js-csp/js-csp
Js Csp
Js-csp is a concurrency library that implements communicating sequential processes with channels and generator-based routines for asynchronous programming in JavaScript. It provides a framework for building data processing pipelines and managing concurrent workflows, bringing Go-style channels and process coordination primitives to applications.
The library coordinates message passing through buffered channels, stream mixing, multi-channel selection, and pub-sub broadcasting. Communication pathways support unbuffered rendezvous, fixed buffers, sliding windows, and dropping overflow. Operations include non-blocking puts and takes with status indicators, generator-based cooperative multitasking, channel lifecycle management, and concurrent routine spawning.
Additional capabilities cover data processing pipelines, transducer-based stream transformations, value reduction, and stream error handling. Data routing and filtering utilities support conditional splitting, tap broadcasting, and topic-based message dispatch, alongside channel management utilities for continuous piping, automatic collection population, and multi-channel merging.
Features
- Asynchronous JavaScript Programming - Enables writing concurrent JavaScript code using cooperative processes and channels instead of complex callbacks.
- Channel-Based Concurrency - Enables configuring communication pathways between concurrent processes with options for unbuffered synchronization, fixed buffers, sliding windows, and dropping overflow.
- Channel Output Buffers - Coordinates message passing between concurrent processes using unbuffered rendezvous points or configurable fixed, sliding, and dropping memory buffers.
- Sliding and Dropping Buffer Strategies - Sets up buffered communication pathways between asynchronous routines with strategies for sliding windows and overflow handling.
- Data Processing Pipelines - Moves and transforms values between channels using synchronous or asynchronous processing steps with robust error handling.
- Transducers - Applies mapping, filtering, and partitioning transformations directly onto channel streams without creating intermediate arrays.
- Channel Mixing - Combines multiple input channels into a single output channel with fine-grained control to mute, pause, or solo streams.
- Asynchronous Workflow Coordination - Executes concurrent tasks asynchronously using cooperative processes that communicate through shared channels rather than traditional callbacks or locks.
- Tapped Broadcasting Channels - Distributes every item from a source channel to multiple tapped destination channels simultaneously.
- Topic-Based Messaging - Publishes values to a central hub and routes them to specific subscriber channels based on extracted topics.
- Asynchronous Stream Processing Frameworks - Provides an asynchronous framework for building data processing pipelines and managing concurrent workflows.
- Concurrency Libraries - Implements communicating sequential processes with channels and generator-based routines for asynchronous programming.
- Cooperative Multitasking - Pauses and resumes asynchronous execution routines using JavaScript generator functions to coordinate cooperative multitasking without blocking the thread.
- Go-Style Channel Porting Libraries - Brings Go-style channels and process coordination primitives to JavaScript applications.
- Channel Splitting - Divides a single source channel into two separate channels based on a conditional test function.
- Goroutine-Based Concurrency - Facilitates launching generator-based asynchronous routines that coordinate through channel yields and return result channels upon completion.
- Stream Merging - Combines, splits, and broadcasts JavaScript data streams from multiple sources into unified or topic-based subscriber channels.
- Multi-Channel Selection - Waits on a dynamic collection of concurrent channel operations simultaneously to execute the first ready branch or a fallback default.
- Channel Lifecycle Management - Supports closing communication channels to signal completion and safely drain remaining buffered values.
- Accumulated Reductions - Accumulates all values from a source channel into a single computed result using a reducing function.
- Multiplexed Channel Coordination - Combines multiple input streams into a single unified output channel with fine-grained control over muting, pausing, and soloing individual streams.
- Publish-Subscribe Systems - Distributes every single item emitted by a source channel to multiple independent destination channels simultaneously.
- Asynchronous Programming Workflows - Simplifies complex asynchronous control flows using generator functions that pause and resume execution without blocking threads.
- Channel Merging - Combines items from several source channels into a single unified output channel until all inputs close.
- Non-blocking Channel Operations - Provides immediate puts and takes on channels returning status indicators without waiting for a partner process.
- Channel Pipers - Transfers values continuously from a source channel to a target channel and closes the target when the source ends.
- Channel Data Transformation - Applies transducers such as mapping, filtering, removal, flattening, deduplication, and partitioning directly on data streams.
