Skip to main content

omniload

Copy data between any source and any destination.

License Downloads / month Python versions

About

omniload is a polyglot data loader framework based on dlt, the open-source Python library for building data pipelines. dlt does the heavy lifting (schema inference, normalization, and incremental load state); omniload wraps it behind a single CLI and a URI scheme, so you can copy data between any source and any destination without writing pipeline code, either from your shell or the Python API.

omniload provides the same efficient incremental data loading modes inherited by dlt: append, merge, and delete+insert.

Install

Container

For running omniload in a container environment, use the provided OCI images.

docker run --rm ghcr.io/panodata/omniload:latest version

Package

For running or installing the omniload Python package, we are recommending to use uv. 12

uvx omniload

Alternatively, if you like to install it account-wide on your system:

uv tool install omniload

Synopsis

CLI

Instruct omniload to read from the PostgreSQL table public.some_data, and write to the BigQuery warehouse table omniload.some_data.

omniload ingest \
    --source-uri 'postgresql://admin:admin@localhost:8837/web?sslmode=disable' \
    --source-table 'public.some_data' \
    --dest-uri 'bigquery://<your-project-name>?credentials_path=/path/to/service/account.json' \
    --dest-table 'omniload.some_data'

Python API

Using omniload.run_ingest, you can run the same ingestion from your own application. The keyword arguments map one-to-one to the CLI options, and it returns the dlt LoadInfo for the run (or None for a dry run).

from omniload import run_ingest

info = run_ingest(
    source_uri="sqlite:///./source.db",
    dest_uri="duckdb:///./warehouse.duckdb",
    source_table="main.some_table",
    dest_table="public.some_table",
)
print(info)

See the Python API documentation for dry runs, error handling, and passing enum options as strings.

Handbook

Please visit the quickstart documentation, or inspect the list of supported sources and destinations.

Project

Contribute

Contributions are very much welcome. Please visit the sandbox documentation to learn how to spin up a development environment on your workstation and submit patches, or create a ticket to report a bug or propose a feature.

Status

Breaking changes should be expected until a 1.0 release, so version pinning is strongly recommended, especially when using this software as a library. For example:

pip install 'omniload[full]==0.0.42'

License

The project is licensed under the MIT License, see the LICENSE file for details. Some components are licensed under the Apache 2.0 license, see the NOTICE file for details.

Acknowledgements

This project would not have been possible without the amazing work by the authors and contributors to SQLAlchemy, dlt, and ingestr, turtles all the way down. Kudos.

  1. You can install uv using pip install uv, or another method that matches your operating system. ↩

  2. While installing omniload with vanilla pip is possible, it is an order of magnitude slower. ↩

Metadata

Release files for omniload 0.21.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for omniload 0.21.0
File Size Uploaded Provenance
omniload-0.21.0.tar.gz 411.9 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for omniload 0.21.0
File Interpreter ABI Platform
omniload-0.21.0-py3-none-any.whl Python 3 none any Details

Total release size: 954.1 kB

Release files / omniload-0.21.0.tar.gz

Download URL omniload-0.21.0.tar.gz
Size 411.9 kB
Tags Source
SHA-256 checksum
How to use checksums
35654e978917f159fc6871ea72ff2935ac7d4f4465f6414ca415ddc376bd49ce
BLAKE2b-256 checksum
How to use checksums
3ad4e4f7f27ce7f46ac2f925ae8d818f00c142ce05f48e19e96c33f6144aa4d1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 23, 2026.

Transparency log

Release files / omniload-0.21.0-py3-none-any.whl

Download URL omniload-0.21.0-py3-none-any.whl
Size 542.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
31a18ed6911fdc4a2277be64a7724b07bec8aea05723953e61126e3d9b8339c5
BLAKE2b-256 checksum
How to use checksums
9c93bb5a12055caa246e902d6ccc45a61461f01fc0022fa0000e93a95bc749d3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 23, 2026.

Transparency log

Security for omniload 0.21.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for omniload-0.21.0.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 23, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page