https://github.com/crate/mlflow-cratedb
MLflow adapter for CrateDB.
https://github.com/crate/mlflow-cratedb
cratedb cratedb-client cratedb-cloud cratedb-connector cratedb-driver cratedb-integration machine-learning machine-learning-training ml-models ml-training mlflow mlflow-compatible mlflow-server mlflow-storage mlflow-tracking model-tracking model-training
Last synced: 2 months ago
JSON representation
MLflow adapter for CrateDB.
- Host: GitHub
- URL: https://github.com/crate/mlflow-cratedb
- Owner: crate
- License: apache-2.0
- Created: 2023-09-07T10:29:01.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2026-03-26T21:14:15.000Z (3 months ago)
- Last Synced: 2026-03-26T22:51:03.150Z (3 months ago)
- Topics: cratedb, cratedb-client, cratedb-cloud, cratedb-connector, cratedb-driver, cratedb-integration, machine-learning, machine-learning-training, ml-models, ml-training, mlflow, mlflow-compatible, mlflow-server, mlflow-storage, mlflow-tracking, model-tracking, model-training
- Language: Python
- Homepage: https://cratedb.com/docs/guide/domain/ml/#mlflow
- Size: 234 KB
- Stars: 1
- Watchers: 5
- Forks: 1
- Open Issues: 21
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGES.md
- License: LICENSE
Awesome Lists containing this project
README
# MLflow adapter for CrateDB
[](https://github.com/crate/mlflow-cratedb/actions/workflows/main.yml)
[](https://codecov.io/gh/crate/mlflow-cratedb/)
[](https://pypi.org/project/mlflow-cratedb/)
[](https://github.com/crate/mlflow-cratedb/blob/main/LICENSE)
[](https://pypi.org/project/mlflow-cratedb/)
[](https://pypi.org/project/mlflow-cratedb/)
[](https://pypi.org/project/mlflow-cratedb/)
## About
An adapter for [MLflow] to use [CrateDB] as a storage database for [MLflow
Tracking]. MLflow is an open source platform to manage the whole ML lifecycle,
including experimentation, reproducibility, deployment, and a central model
registry.
## What's inside?
A few monkey patches that amalgamate MLflow with the necessary changes to
support CrateDB. The patches are curated until the adapter can eventually
be upstreamed into MLflow mainline as another storage database type.
## Install
Install the most recent version of the `mlflow-cratedb` package.
```shell
uv pip install --upgrade mlflow-cratedb
```
To verify if the installation worked, you can inspect the version numbers
of the software components you just installed.
```shell
mlflow-cratedb --version
mlflow-cratedb cratedb --version
```
## Documentation
The [MLflow Tracking] subsystem is about recording and querying experiments, across
code, data, config, and results.
The MLflow adapter for CrateDB can be used in different ways. Please refer
to the [handbook], and the documentation about [container usage].
For more general information, see [Machine Learning with CrateDB]
and [examples about MLflow and CrateDB].
## Development
For joining the development, or for making changes to the software, read about
how to [install a development sandbox].
## Project Information
### Resources
- [Source code](https://github.com/crate/mlflow-cratedb)
- [Documentation](https://github.com/crate/mlflow-cratedb/tree/main/docs)
- [Python Package Index (PyPI)](https://pypi.org/project/mlflow-cratedb/)
### Contributions
This library is an open source project, and is [managed on GitHub].
Every kind of contribution, feedback, or patch, is much welcome. [Create an
issue] or submit a patch if you think we should include a new feature, or to
report or fix a bug.
### Development
In order to set up a development environment on your workstation, please head
over to the [development sandbox] documentation. When you see the software
tests succeed, you should be ready to start hacking.
### License
The project is licensed under the terms of the Apache License 2.0, like [MLflow]
and [CrateDB], see [LICENSE].
### Acknowledgements
[Siddharth Murching], [Corey Zumar], [Harutaka Kawamura], [Ben Wilson], and
all other contributors for conceiving and maintaining [MLflow].
[Andreas Nigg] for contributing the [tracking_merlion.py] and [tracking_pycaret.py]
ML experiment programs, using [Merlion] and [PyCaret].
[Andreas Nigg]: https://github.com/andnig
[Ben Wilson]: https://github.com/BenWilson2
[container usage]: https://github.com/crate/mlflow-cratedb/blob/main/docs/container.md
[Corey Zumar]: https://github.com/dbczumar
[CrateDB]: https://github.com/crate/crate
[CrateDB Cloud]: https://console.cratedb.cloud/
[Create an issue]: https://github.com/crate/mlflow-cratedb/issues
[development sandbox]: https://github.com/crate/mlflow-cratedb/blob/main/docs/development.md
[examples about MLflow and CrateDB]: https://github.com/crate/cratedb-examples/tree/main/topic/machine-learning/mlflow
[handbook]: https://github.com/crate/mlflow-cratedb/blob/main/docs/handbook.md
[Harutaka Kawamura]: https://github.com/harupy
[install a development sandbox]: https://github.com/crate/mlflow-cratedb/blob/main/docs/development.md
[LICENSE]: https://github.com/crate/mlflow-cratedb/blob/main/LICENSE
[Machine Learning with CrateDB]: https://cratedb.com/docs/guide/solution/machine-learning/
[managed on GitHub]: https://github.com/crate/mlflow-cratedb
[Merlion]: https://github.com/salesforce/Merlion
[MLflow]: https://mlflow.org/
[MLflow Tracking]: https://mlflow.org/docs/latest/tracking.html
[PyCaret]: https://pycaret.org/
[Siddharth Murching]: https://github.com/smurching
[tracking_merlion.py]: https://github.com/crate/mlflow-cratedb/blob/main/examples/tracking_merlion.py
[tracking_pycaret.py]: https://github.com/crate/mlflow-cratedb/blob/main/examples/tracking_pycaret.py