Technology Overview

The open-source foundation powering Reframe.

Architecture

Reframe is built on a modular architecture with specialized libraries:

┌─────────────────────────────────────────────────────────────┐
│                      Reframe Engine                         │
│                                                             │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────────────┐  │
│  │   Dataflow  │  │  Datalogic  │  │      Datafake       │  │
│  │  Workflows  │  │   Rules     │  │   Data Generation   │  │
│  └─────────────┘  └─────────────┘  └─────────────────────┘  │
│                                                             │
│  ┌──────────────────────────────────────────────────────┐   │
│  │  swift-mt-message  │  mx-message  │  quick-xml       │   │
│  │  MT Parsing        │  MX Parsing  │  XML Processing  │   │
│  └──────────────────────────────────────────────────────┘   │
└─────────────────────────────────────────────────────────────┘

Core Libraries

Why These Libraries?

Separation of Concerns

Each library handles a specific responsibility:

• Dataflow: Orchestrates when and how workflows execute
• Datalogic: Evaluates what transformations to apply
• Datafake: Generates realistic test data

Performance

All libraries are:

• Written in Rust for memory safety and speed
• Pre-compiled at startup (zero runtime parsing)
• Thread-safe for concurrent processing

Transparency

All business logic is:

• Defined in JSON (not compiled code)
• Auditable and version-controllable
• Modifiable without rebuilding

Technology Stack

Core

Message Processing

Database & API

Open Source Ecosystem

All components are open source under Apache 2.0:

Each project includes an interactive playground for testing.

Performance Characteristics

Latency

Throughput

Resource Usage

Datalogic →

Dataflow →

Datafake →