Horsies
PostgreSQL-backed background task queue and workflow engine for Python.
Full Documentation | PyPI | GitHub
Why Postgres
Every guarantee horsies makes is a Postgres primitive, not a client-side convention:
- Claiming: one server-side function under
FOR UPDATE SKIP LOCKED; a claim-generation fence rejects stale attempts, including a worker re-claiming its own requeued task. - Finalization: row lock → immutable attempt-history append → state transition, one transaction.
- Recovery: all state is rows and timestamps; the reaper reconstructs and repairs after a worker dies mid-flight — nothing in-flight exists only in a broker's memory.
- Workflows: fan-in, completion, and subworkflow cascades are multi-row transitions under a documented lock order.
- Dispatch: LISTEN/NOTIFY push — no polling.
- Inspection: history is plain tables — SQL,
EXPLAIN, your existing backups; Syce reads the same rows.
Measured hot-path latencies: performance.
Monitoring
Horsies includes Syce, a terminal-based UI for monitoring your cluster in real-time.
Testing & Correctness
3,200+ test functions across unit, real-Postgres integration, e2e
worker-process, and PgBouncer contract suites — a 2.2:1 test-to-source line
ratio, weighted toward failure paths: crash recovery, claim fencing,
cancel/completion races, rolling upgrades, and EXPLAIN ANALYZE plan
assertions pinning the hot-path statements to their indexes. The
claim/finalize semantics are additionally cross-validated against an
independent Rust reimplementation of the engine.
Pre-1.0 is an API-contract statement, not an engine-maturity statement: breaking API changes may still land in minor releases and are documented in the changelog.
1 maintainer
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