MLflow Migration

The MLflow Migration package provides tools to copy MLflow objects (runs, experiments or registered models) from one MLflow tracking server (Databricks workspace) to another. Using the MLflow REST API, the tools export MLflow objects to an intermediate directory and then import them into the target tracking server.

Reference notes

This is a technical fork of the original MLflow Export Import released under a new name and intended for publication on PyPI.

Documentation

Documentation published at https://mlflow-oidc.github.io/mlflow-migration/

Documentation source is available in the docs directory.

Installation

Install the package using pip:

pip install mlflow-migration

License

This project is licensed under the Apache License 2.0. See the LICENSE file for details.

Metadata

Release files for mlflow-migration 1.2.2

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

Source distribution (sdist)

Source distribution for mlflow-migration 1.2.2
File	Size	Uploaded
mlflow_migration-1.2.2.tar.gz	637.3 kB	Aug 24, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for mlflow-migration 1.2.2
File	Interpreter	ABI	Platform	Reset
mlflow_migration-1.2.2-py3-none-any.whl 105.4 kB Aug 24, 2026	Python 3	none	any	Details

Total release size: 742.7 kB

Release files / mlflow_migration-1.2.2.tar.gz

Download URL	mlflow_migration-1.2.2.tar.gz
Size	637.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`1bc9b343110fe1e049ea3832fefcbb8176c5b1b8214ce86324101bbba7a09eb7`
BLAKE2b-256 checksum How to use checksums	`9a4209c229fcb708e894298ea0d8ac556163def320d41ad85d51c7a14f8fedb0`
Upload date	Aug 24, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

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.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/mlflow-oidc/mlflow-migration
Publishing commit: github.com/mlflow-oidc/mlflow-migration/tree/f9e5f3b07a60b03a6bb78a602e800a83498dbc65

Workflow

Publishing configuration: github.com/mlflow-oidc/mlflow-migration/blob/f9e5f3b07a60b03a6bb78a602e800a83498dbc65/.github/workflows/pypi.yml
Publishing logs: github.com/mlflow-oidc/mlflow-migration/actions/runs/32777152116/attempts/1

Artifact

Subject: mlflow_migration-1.2.2.tar.gz
SHA-256 checksum: 1bc9b343110fe1e049ea3832fefcbb8176c5b1b8214ce86324101bbba7a09eb7 Verifying attestations

Release files / mlflow_migration-1.2.2-py3-none-any.whl

Download URL	mlflow_migration-1.2.2-py3-none-any.whl
Size	105.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`76ab5855ea40a0ee0a2d7ec96b1fe1ae6ebb6f8f0fa9b060d6af864ba2462545`
BLAKE2b-256 checksum How to use checksums	`b53f1427f0d38d71bc5bf1d175ecd6e6a6cb967080dc1e410d9b970ab79944a0`
Upload date	Aug 24, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/mlflow-oidc/mlflow-migration
Publishing commit: github.com/mlflow-oidc/mlflow-migration/tree/f9e5f3b07a60b03a6bb78a602e800a83498dbc65

Workflow

Publishing configuration: github.com/mlflow-oidc/mlflow-migration/blob/f9e5f3b07a60b03a6bb78a602e800a83498dbc65/.github/workflows/pypi.yml
Publishing logs: github.com/mlflow-oidc/mlflow-migration/actions/runs/32777152116/attempts/1

Artifact

Subject: mlflow_migration-1.2.2-py3-none-any.whl
SHA-256 checksum: 76ab5855ea40a0ee0a2d7ec96b1fe1ae6ebb6f8f0fa9b060d6af864ba2462545 Verifying attestations