mlflow-duckdb
An MLflow plugin that enables logging and loading of artifacts and models using DuckDB as a lightweight, serverless backend for portable experiment tracking.
Overview
This is the initial release of mlflow-duckdb, published to reserve the package name on PyPI and lay the groundwork for future development.
The goal of this plugin is to integrate DuckDB with MLflow to support lightweight, local experiment tracking without requiring a server or cloud storage.
More features and documentation will be added in upcoming releases.
1 maintainer
Release files for mlflow-duckdb 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlflow_duckdb-0.1.2.tar.gz | 6.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlflow_duckdb-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.9 kB
Release files / mlflow_duckdb-0.1.2.tar.gz
| Download URL | mlflow_duckdb-0.1.2.tar.gz |
|---|---|
| Size | 6.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.1.3 CPython/3.12.10 Linux/6.11.0-1014-azure
|
Release files / mlflow_duckdb-0.1.2-py3-none-any.whl
| Download URL | mlflow_duckdb-0.1.2-py3-none-any.whl |
|---|---|
| Size | 6.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
2e8cbdc3ae89bc0de7caf1589eadeb644b7b0fd5d6e0138b84ca4b1cde361dc5
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.1.3 CPython/3.12.10 Linux/6.11.0-1014-azure
|
