patterns-devkit
flowrunner
| patterns-devkit | flowrunner | |
|---|---|---|
| 5 | 3 | |
| 106 | 8 | |
| 0.0% | - | |
| 2.9 | 5.9 | |
| about 1 year ago | 10 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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patterns-devkit
flowrunner
-
Python Package to build ETL flows/dags
Repo link: https://github.com/prithvijitguha/flowrunner
What are some alternatives?
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Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
SmartPipeline - A framework for rapid development of robust data pipelines following a simple design pattern
hamilton - A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
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).