Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub / zenml-io / zenml-gitflow
A repository that showcases how you can use ZenML with Git
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zenml-io%2Fzenml-gitflow
Stars: 58
Forks: 2
Open Issues: 0
License: None
Language: Python
Repo Size: 17.4 MB
Dependencies:
773
Created: over 1 year ago
Updated: 3 months ago
Last pushed: 3 months ago
Last synced: 3 months ago
Files
Loading...
Readme
Loading...
Dependencies
- actions/checkout v3 composite
- actions/setup-python v4 composite
- aws-actions/configure-aws-credentials v1 composite
- azure/setup-kubectl v3 composite
- syphar/restore-pip-download-cache v1 composite
- syphar/restore-virtualenv v1 composite
.github/workflows/staging.yaml
actions
- actions/checkout v3 composite
- actions/setup-python v4 composite
- azure/setup-kubectl v3 composite
- google-github-actions/auth v1 composite
- google-github-actions/setup-gcloud v1 composite
- syphar/restore-pip-download-cache v1 composite
- syphar/restore-virtualenv v1 composite
pyproject.toml
pypi
- autoflake ^1.4 develop
- black 22.3.0 develop
- codespell ^2.1.0 develop
- flake8 ^3.9.2 develop
- interrogate ^1.4.0 develop
- isort ^5.9.3 develop
- pre-commit ^2.14.0 develop
- python >=3.7.1,<3.9
- zenml 0.21.1
requirements-aws.in
pypi
- deepchecks ==0.8.0
- kfp ==1.8.16
- kserve ==0.9.0
- mlflow >=1.2.0,<1.26.0
- mlserver >=0.5.3
- mlserver-mlflow >=0.5.3
- protobuf >=3.7.0,<4.0.0
- s3fs >2022.3.0,<=2022.11.0
- sagemaker ==2.117.0
- scikit-learn *
- torch-model-archiver *
- torchvision ==0.14.0
requirements-base.in
pypi
requirements-gcp.in
pypi
- deepchecks ==0.8.0
- gcsfs *
- google-cloud-aiplatform >=1.11.0
- google-cloud-functions >=1.8.3
- google-cloud-scheduler >=2.7.3
- google-cloud-secret-manager *
- kfp ==1.8.16
- mlflow >=1.2.0,<1.26.0
- mlserver >=0.5.3
- mlserver-mlflow >=0.5.3
- protobuf >=3.7.0,<4.0.0
- scikit-learn *
- shapely <2.0
- torchvision ==0.14.0
- deepchecks ==0.8.0
- mlflow >=1.2.0,<1.26.0
- mlserver >=0.5.3
- mlserver-mlflow >=0.5.3
- protobuf >=3.7.0,<4.0.0
- scikit-learn *
- torchvision ==0.14.0