aws-data-wrangler VS dagster-example-pipeline

Compare aws-data-wrangler vs dagster-example-pipeline and see what are their differences.

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] (by awslabs)

dagster-example-pipeline

Template Dagster repo using poetry and a single Docker container; works well with CICD (by MileTwo)
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aws-data-wrangler dagster-example-pipeline
1 1
3,559 64
- -
10.0 0.0
9 months ago about 2 years ago
Python 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.

aws-data-wrangler

Posts with mentions or reviews of aws-data-wrangler. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-20.

dagster-example-pipeline

Posts with mentions or reviews of dagster-example-pipeline. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-25.

What are some alternatives?

When comparing aws-data-wrangler and dagster-example-pipeline you can also consider the following projects:

boto3 - AWS SDK for Python

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.

Trapheus - This tool automates restoration of RDS database instances from snapshots into any dev, staging or production environments. It supports individual RDS Snapshot as well as cluster snapshot restore operations.

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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).

ray_snowflake - Ray Data Connector for Snowflake

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

demo-code - Bits of code I use during live demos

canarypy - CanaryPy - A light and powerful canary release for Data Pipelines

aws-simple-websocket - Using AWS's API Gateway + Lambda to run a simple websocket application. For learning/testing.

portable-data-stack-dagster - A portable Datamart and Business Intelligence suite built with Docker, Dagster, dbt, DuckDB, PostgreSQL and Superset