prefect-deployment-patterns VS blueprint-examples

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

blueprint-examples

This is where you can find officially supported Cloudify blueprints that work with the latest versions of Cloudify. Please make sure to use the blueprints from this repo when you are evaluating Cloudify. (by cloudify-community)
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prefect-deployment-patterns blueprint-examples
1 1
93 27
- -
0.0 7.4
over 1 year ago 4 months ago
Python Python
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.

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

blueprint-examples

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

What are some alternatives?

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

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

blog_flask - A blog created using python flask and bootstrap

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

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

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.

box - box is a text-based visual programming language inspired by Unreal Engine Blueprint function graphs.

weather_data_pipeline - This is a PySpark-based data pipeline that fetches weather data for a few cities, performs some basic processing and transformation on the data, and then writes the processed data to a Google Cloud Storage bucket and a BigQuery table.The data is then viewed in a looker dashboard

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

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

esdc-ce - Danube Cloud :: Community Edition

f1-data-pipeline - F1 Data Pipeline

WALKOFF - A flexible, easy to use, automation framework allowing users to integrate their capabilities and devices to cut through the repetitive, tedious tasks slowing them down. #nsacyber