Udacity-Data-Engineering-Projects VS canarypy

Compare Udacity-Data-Engineering-Projects vs canarypy and see what are their differences.

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Udacity-Data-Engineering-Projects canarypy
5 2
1,295 3
- -
0.0 7.3
over 1 year ago 10 months ago
Python Python
GNU General Public License v3.0 or later MIT License
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.

Udacity-Data-Engineering-Projects

Posts with mentions or reviews of Udacity-Data-Engineering-Projects. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-30.

canarypy

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

What are some alternatives?

When comparing Udacity-Data-Engineering-Projects and canarypy you can also consider the following projects:

hydra - Hydra: Column-oriented Postgres. Add scalable analytics to your project in minutes.

dagster-example-pipeline - Template Dagster repo using poetry and a single Docker container; works well with CICD

data-engineering-zoomcamp - Free Data Engineering course!

pyStudio - The easier way to do machine learning in Python without coding!

data-engineering-book - Accumulated knowledge and experience in the field of Data Engineering

prefect-deployment-patterns - Code examples showing flow deployment to various types of infrastructure

ask-astro - An end-to-end LLM reference implementation providing a Q&A interface for Airflow and Astronomer

dagster - An orchestration platform for the development, production, and observation of data assets.

pg-counter-metrics - PG Counter Metrics ( PGCM ) is a tool for publishing PostgreSQL performance data to CloudWatch. By publishing to CloudWatch, dashboards and alarming can be used on the collected data.

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

Data-Engineering-Projects - Personal Data Engineering Projects

youtube_data_analysis - Created an optimised pipeline to provide accurate data for analysis, then used snowsight (provided by Snowflake) to create a dashboard.