patterns-devkit VS versatile-data-kit

Compare patterns-devkit vs versatile-data-kit and see what are their differences.

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patterns-devkit versatile-data-kit
5 52
106 410
0.0% 1.0%
2.9 9.7
about 1 year ago 3 days ago
Python Python
BSD 3-clause "New" or "Revised" License 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.

patterns-devkit

Posts with mentions or reviews of patterns-devkit. We have used some of these posts to build our list of alternatives and similar projects.

versatile-data-kit

Posts with mentions or reviews of versatile-data-kit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-23.

What are some alternatives?

When comparing patterns-devkit and versatile-data-kit you can also consider the following projects:

pyspark-example-project - Implementing best practices for PySpark ETL jobs and applications.

data-engineering-zoomcamp - Free Data Engineering course!

Dataplane - Dataplane is a data platform that makes it easy to construct a data mesh with automated data pipelines and workflows.

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

pipebird - Pipebird is open source infrastructure for securely sharing data with customers.

quadratic - Quadratic | Data Science Spreadsheet with Python & SQL

SmartPipeline - A framework for rapid development of robust data pipelines following a simple design pattern

pyramid-jsonapi - Auto-build JSON API from sqlalchemy models using the pyramid framework

hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

dbt-data-reliability - dbt package that is part of Elementary, the dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

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).

hamilton - A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton