Machine Learning Orchestration
DBND is an agile pipeline framework that helps date engineering teams track and orchestrate their data processes. Used for processes ranging from data prep, machine learning model training, experimentation, testing, and production, DBND is easy to use and natively provides teams visibility, reproducibility, and dynamic orchestration for your projects.
DBND simplifies the process of building, running, and tracking data pipelines
from dbnd import task @task def say_hello(name: str = "databand.ai") -> str: value = "Hello %s!" % name return value
And provides way for tracking your critical pipeline metadata
from dbnd import log_metric, log_dataframe log_dataframe("my_dataset", my_dataset) log_metric("r2", r2)
The Latest and Greatest
pip install dbnd
If you would like access to our latest features, or have any questions, feedback, or contributions we would love to here from you! Get in touch through email@example.com
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