canarypy VS prefect-deployment-patterns

Compare canarypy vs prefect-deployment-patterns and see what are their differences.

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canarypy prefect-deployment-patterns
2 1
3 93
- -
7.3 0.0
10 months ago over 1 year ago
Python Python
MIT 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.

canarypy

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

prefect-deployment-patterns

Posts with mentions or reviews of prefect-deployment-patterns. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-26.
  • [D] Should I go with Prefect, Argo or Flyte for Model Training and ML workflow orchestration?
    3 projects | /r/MachineLearning | 26 Sep 2022
    Have you used infrastructure blocks in Prefect? You could easily build a block for Sagemaker deploying infrastructure for the flow running with GPUs, then run other flow in a local process, yet another one as Kubernetes job, Docker container, ECS task, AWS batch, etc. Super easy to set up, even from the UI or from CI/CD. There are a bunch of templates and examples here: https://github.com/anna-geller/prefect-deployment-patterns

What are some alternatives?

When comparing canarypy and prefect-deployment-patterns you can also consider the following projects:

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

Taipy - Turns Data and AI algorithms into production-ready web applications in no time.

Udacity-Data-Engineering-Projects - Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.

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

buildflow - BuildFlow, is an open source framework for building large scale systems using Python. All you need to do is describe where your input is coming from and where your output should be written, and BuildFlow handles the rest. No configuration outside of the code is required.