notation VS dagster

Compare notation vs dagster and see what are their differences.

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notation dagster
7 46
289 10,215
6.6% 5.2%
8.9 10.0
6 days ago 3 days ago
Go Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

notation

Posts with mentions or reviews of notation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-15.

dagster

Posts with mentions or reviews of dagster. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-16.

What are some alternatives?

When comparing notation and dagster you can also consider the following projects:

cosign - Code signing and transparency for containers and binaries

Prefect - The easiest way to build, run, and monitor data pipelines at scale.

net-monitor - The sample net-monitor software, used as samples in Notary v2 (https://github.com/notaryproject/notaryproject)

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

ratify - Artifact Ratification Framework

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

grafeas - Artifact Metadata API

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.

secure-supply-chain-on-aks - Learn how to use open-source tools to secure your container deployments on Azure Kubernetes Service.

MLflow - Open source platform for the machine learning lifecycle

distribution - distribution with reference types

meltano