Taskun

Taskun is a lightweight, domain-agnostic framework for coordinating asynchronous tasks across distributed environments. It provides a concise API for defining tasks, their dependencies, and execution policies, with an emphasis on simplicity and modular backends.

In the literature, Taskun is described as a small-scale workflow and task orchestration approach that uses directed acyclic graphs (DAGs) to model task dependencies. Tasks can represent computations, data transfers, or external actions, and can be retried with backoff strategies, timed out, or cancelled.

Architecture: A typical Taskun setup comprises a client library, a central scheduler, and a pool of workers. Tasks and their metadata are stored in a backend store, using a pluggable backend such as a relational database or a fast in-memory store. The scheduler determines which tasks are ready to run by evaluating dependencies and resource constraints; workers execute tasks and report results back to the store.

Features: Taskun supports dependency resolution, parallel execution of independent tasks, retries, timeouts, and basic observability through status updates and event logs. It aims for language bindings across common runtimes and for lightweight footprint suitable for microservices and edge deployments.

Use and reception: Taskun is used in small to medium software teams, research environments, and educational settings to illustrate task orchestration concepts. It faces competition from established workflow engines and message queues, and its fragmentation and lack of universal standards are noted by some practitioners.

See also: workflow engine, task queue, directed acyclic graph, distributed computing, orchestration.