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Dataflow-rs

A high-performance rules engine for IFTTT-style automation in Rust with zero-overhead JSONLogic evaluation.



License: Apache 2.0 Rust Crates.io


Dataflow-rs is a lightweight rules engine that lets you define IF → THEN → THAT automation in JSON. Rules are evaluated using pre-compiled JSONLogic for zero runtime overhead, and actions execute asynchronously for high throughput.

Whether you’re routing events, validating data, building REST APIs, or creating automation pipelines, Dataflow-rs provides enterprise-grade performance with minimal complexity.

Key Features

  • IF → THEN → THAT Model - Define rules with JSONLogic conditions, execute actions, chain with priority ordering
  • Async-First Architecture - Native async/await support with Tokio for high-throughput processing
  • Zero Runtime Compilation - All JSONLogic expressions pre-compiled at startup for optimal performance
  • Full Context Access - Conditions can access any field: data, metadata, temp_data
  • Execution Tracing - Step-by-step debugging with message snapshots after each action
  • Built-in Functions - Parse, Map, Validate, Filter, Log, and Publish for complete data pipelines
  • Pipeline Control Flow - Filter/gate function to halt workflows or skip tasks based on conditions
  • Channel Routing - Route messages to specific workflow channels with O(1) lookup
  • Workflow Lifecycle - Manage workflow status (active/paused/archived), versioning, and tagging
  • Hot Reload - Swap workflows at runtime without re-registering custom functions
  • Extensible - Easily add custom async actions to the engine
  • Typed Integration Configs - Pre-validated configs for HTTP, Enrich, and Kafka integrations
  • WebAssembly Support - Run rules in the browser with @goplasmatic/dataflow-wasm
  • React UI Components - Visualize and debug rules with @goplasmatic/dataflow-ui
  • Auditing - Track all changes to your data as it moves through the pipeline

Try It Now

Experience the power of dataflow-rs directly in your browser. Define a rule and message, then see the processing result instantly.

Want more features? Try the Full Debugger UI with step-by-step execution, breakpoints, and rule visualization.

How It Works

┌─────────────────────────────────────────────────────────────────┐
│  Rule (Workflow)                                                │
│                                                                 │
│  IF    condition matches        →  JSONLogic against any field  │
│  THEN  execute actions (tasks)  →  map, validate, custom logic  │
│  THAT  chain more rules         →  priority-ordered execution   │
└─────────────────────────────────────────────────────────────────┘
  1. Define Rules - Create JSON-based rule definitions with conditions and actions
  2. Create an Engine - Initialize the rules engine (all logic compiled once at startup)
  3. Process Messages - Send messages through the engine for evaluation
  4. Get Results - Receive transformed data with full audit trail

Next Steps