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ETLantic

One typed pipeline model. Many execution backends.
Typed contracts. Deterministic plans. Pluggable execution.

CI status PyPI version Supported Python versions Project status: beta MIT license

Quickstart · Documentation · Is ETLantic for me? · Python API · CLI


ETLantic is a Python library for defining data pipelines as typed contracts and graphs, validating them before they run, and producing a deterministic plan that a plugin executes (local Python, Polars, Pandas, SQL, PySpark, DataFusion, or DuckDB) or an orchestrator compiles (Airflow). It is not dbt, not a dataframe engine, and not a hosted scheduler.

Quickstart

ETLantic requires Python 3.11 or newer. In an activated virtual environment:

python -m pip install 'etlantic==0.53.0'
python -m etlantic --version
mkdir my-pipeline
cd my-pipeline
python -m etlantic init --with-toml
python -m etlantic validate pipeline.py:SamplePipeline --profile development
python -m etlantic run pipeline.py:SamplePipeline --profile development

The run should succeed and write Ada and Grace to data/out.json. See the full Quickstart for setup details and expected output.

If init refuses the directory, use an empty folder (or --force only after you have reviewed what it overwrites). Pin every official plugin to the same version as core (etlantic-polars==0.53.0 with etlantic==0.53.0). Mixed plugin versions fail closed — see Troubleshooting.

What it provides

  • Typed Data, Transformation, Extract, Load, and Pipeline building blocks.
  • Validation before execution or publication, with human, JSON, and SARIF diagnostics.
  • Deterministic plans that can be inspected, fingerprinted, diffed, run, or compiled.
  • Contract generation for ODCS, DTCS, and DPCS artifacts.
  • Pluggable execution across local Python, Polars, Pandas, SQL, and PySpark, DataFusion, and DuckDB, plus orchestration integrations.

Define transformation logic once with @Transformation.portable. ETLantic's qualified relational baseline runs that definition across all seven engines. Use @Transformation.implementation(...) only as an explicit escape hatch for behavior outside the portable surface: native bodies are tied to one engine and will not be eligible for adaptive execution.

Application code should use the curated public facade:

import etlantic as etl

The public CLI (see the CLI reference):

  • Authoring: init, doctor, validate, inspect, plan, profile, run, compile, generate, diff
  • Ops: plugin, schema, reliability, erasure, viz, report, watch, stream, schedule, scheduler, worker
  • Agents: context, proposal

Execution options

Core has no dataframe, database, Spark, or orchestrator dependency. Install only the integrations a pipeline needs:

Capability 0.53
Local Python + JSON/CSV etlantic
Polars or Pandas etlantic[polars] or etlantic[pandas]
SQL or PySpark etlantic[sql] or etlantic[pyspark]
Airflow or Prefect etlantic[airflow] or etlantic[prefect]

Prefer portable transformations and set portable_transform_policy="require" so unsupported semantics fail during validation or planning. In controlled deployments, pin ETLantic and official plugins to the same release. See engine selection and compatibility.

Security and production posture

ETLantic is Beta, community-supported, with no SLA. Use it for documented single-tenant pilots. You can embed an HTTP control plane (etlantic-fastapi) with Supported isolation profiles (isolated-deployment, dedicated-schema). There is no hosted multi-tenant SaaS. See Capabilities and the control-plane program.

Plans and reports contain secret references, never resolved secret values. Production profiles require an explicit non-empty plugin_allowlist; an allowlist controls selection but is not a sandbox. Schema history stores fingerprints and metadata, never source rows.

Review the production readiness and security model before a pilot.

Learn more

These links use the Read the Docs stable alias, which remains on the latest published release. The immutable patch-release tree is at v0.53.0.

Contributing

See CONTRIBUTING.md for development setup and pull-request guidance. Use GitHub Issues for bugs and questions, and follow the private instructions in SECURITY.md to report vulnerabilities.

ETLantic is available under the MIT License.

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