dagster-example-pipeline
portable-data-stack-dagster
| dagster-example-pipeline | portable-data-stack-dagster | |
|---|---|---|
| 1 | 1 | |
| 64 | 116 | |
| - | - | |
| 0.0 | 6.2 | |
| about 2 years ago | 10 days ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
dagster-example-pipeline
-
Developing in Dagster
The associated code repo can be found here
portable-data-stack-dagster
What are some alternatives?
mlrun - MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
airflow-docker - This is my Apache Airflow Local development setup on Windows 10 WSL2/Mac using docker-compose. It will also include some sample DAGs and workflows.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
dagster - An orchestration platform for the development, production, and observation of data assets.
AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
jupysql - Better SQL in Jupyter. 📊
canarypy - CanaryPy - A light and powerful canary release for Data Pipelines
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
aws-data-wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL). [Moved to: https://github.com/aws/aws-sdk-pandas]
superset - Apache Superset is a Data Visualization and Data Exploration Platform