A framework to build and run data pipelines and workflows.
Project description
NoETL
NoETL is an automation framework for orchestrating APIs, databases, and scripts using a declarative Playbook DSL.
Execution is standardized around an MCP-style tool model: consistent tool contracts, structured input/output, and a predictable lifecycle. From an MCP perspective, tools include API endpoints, database operations, and scripts/utilities NoETL orchestrates and optimizes them via playbooks.
With NoETL Gateway, playbooks can be deployed as a distributed backend: developers ship business logic as playbooks, and UIs/clients call stable endpoints without deploying dedicated microservices for each workflow.
Documentation
https://noetl.dev — user-facing site.
NoETL wiki — operator and
developer reference. Pages mirror the code tree under noetl/noetl.
Async batch acceptance and recovery references (on the wiki):
- Batch Events API —
POST /api/events/batchasync acceptance flow - Recovery: Auto-Resume — readiness-gated parent-execution restart at startup
- Command Reaper — runtime re-publish for orphaned / stranded commands
Distributed runtime components
Reference docs for the event-sourced, projection-backed runtime
(implements v2 distributed-runtime spec phases 0–2; spec lives in
noetl/docs at docs/features/noetl_distributed_runtime_spec.md):
- Event Store —
durable append-only event log (port + Postgres adapter),
EventRecordenvelope, optimistic concurrency viaexpected_version. - Projection Store — version-monotonic projection + snapshot store (port + Postgres adapter), query interface for replay state.
- Outbox — transactional
outbox publisher (
python -m noetl.outbox) that drainsnoetl.outboxto NATS with at-least-once retry/backoff. - Projector —
out-of-process projection worker (
python -m noetl.projector), durable NATS pull consumer, shard-stable, Prometheus metrics, replay-state folding shared with the in-process replay API.
Repository model (ai-meta driven)
NoETL development is now coordinated through the ai-meta repository:
- Orchestration/meta: https://github.com/noetl/ai-meta
- Server: https://github.com/noetl/server
- Worker: https://github.com/noetl/worker
- Gateway: https://github.com/noetl/gateway
- CLI: https://github.com/noetl/cli
- Tools: https://github.com/noetl/tools
- End-to-end fixtures: https://github.com/noetl/e2e
- Ops/automation: https://github.com/noetl/ops
- Docs: https://github.com/noetl/docs
ai-meta tracks all component repositories as Git submodules and is the primary place to
coordinate cross-repo changes, pointer bumps, and release choreography.
End-to-end integration playbooks, fixture payloads, local credential templates, notebooks,
and Gateway UI test fixtures live in noetl/e2e.
Distribution channels
- PyPI
noetl(Python): https://pypi.org/project/noetl/
- Rust components
- CLI repo: https://github.com/noetl/cli
- Gateway repo: https://github.com/noetl/gateway
- Server repo: https://github.com/noetl/server
- Worker repo: https://github.com/noetl/worker
- Tools repo: https://github.com/noetl/tools
- APT (Debian/Ubuntu)
- Homebrew
License
Dual License — see LICENSE for details.
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