MLflow¶
MLflow is a platform to streamline machine learning development, including tracking experiments,packaging code into reproducible runs, and sharing and deploying models.
https://mlflow.org
Available modules¶
The overview below shows which MLflow installations are available per target architecture in EESSI, ordered based on software version (new to old).
To start using MLflow, load one of these modules using a module load command like:
(This data was automatically generated on Fri, 06 Feb 2026 at 13:12:13 UTC)
| aarch64/generic | aarch64/a64fx | aarch64/neoverse_n1 | aarch64/neoverse_v1 | aarch64/nvidia/grace | x86_64/generic | x86_64/amd/zen2 | x86_64/amd/zen3 | x86_64/amd/zen4 | x86_64/intel/cascadelake | x86_64/intel/haswell | x86_64/intel/icelake | x86_64/intel/sapphirerapids | x86_64/intel/skylake_avx512 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MLflow/2.18.0-gfbf-2023b | x | x | x | x | x | x | x | x | x | x | x | x | x | x |
| MLflow/2.10.2-gfbf-2023a | x | x | x | x | x | x | x | x | x | x | x | x | x | x |
MLflow/2.18.0-gfbf-2023b¶
This is a list of extensions included in the module:
alembic-1.14.0, cachetools-5.5.0, databricks_sdk-0.36.0, docker-7.1.0, google-auth-2.35.0, graphene-3.4.1, graphql-relay-3.2.0, graphql_core-3.2.5, gunicorn-23.0.0, mlflow-2.18.0, mlflow_skinny-2.18.0, opentelemetry_api-1.27.0, opentelemetry_sdk-1.27.0, opentelemetry_semantic_conventions-0.48b0, pyasn1-modules-0.4.1, rsa-4.9, sqlparse-0.5.1
MLflow/2.10.2-gfbf-2023a¶
This is a list of extensions included in the module:
docker-7.0.0, entrypoints-0.4, gunicorn-21.2.0, Markdown-3.5.2, mlflow-2.10.2, querystring_parser-1.2.4, sqlparse-0.4.4