MLOps
valmi-activation
MLOps | valmi-activation | |
---|---|---|
2 | 1 | |
42 | 126 | |
- | 1.6% | |
0.0 | 9.4 | |
almost 2 years ago | 2 days ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MLOps
- MLOps Template
-
MLOps project based template
Here is the repo https://github.com/kuutsav/MLOps
valmi-activation
What are some alternatives?
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
MLflow - Open source platform for the machine learning lifecycle
portable-data-stack-dagster - A portable Datamart and Business Intelligence suite built with Docker, Dagster, dbt, DuckDB, PostgreSQL and Superset
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
dagster - An orchestration platform for the development, production, and observation of data assets.
pyStudio - The easier way to do machine learning in Python without coding!
dagster-example-pipeline - Template Dagster repo using poetry and a single Docker container; works well with CICD
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.