pubsub2inbox
Pubsub2Inbox is a versatile, multi-purpose tool to handle Pub/Sub messages and turn them into email, API calls, GCS objects, files or almost anything. (by GoogleCloudPlatform)
pyDag
Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag (by Wittline)
| pubsub2inbox | pyDag | |
|---|---|---|
| 1 | 2 | |
| 32 | 24 | |
| - | - | |
| 8.4 | 0.0 | |
| 12 days ago | over 1 year 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.
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.
pubsub2inbox
Posts with mentions or reviews of pubsub2inbox.
We have used some of these posts to build our list of alternatives
and similar projects.
-
What is the best approach to send SCC findings to a specific email?
Also, you might want to check this : https://github.com/GoogleCloudPlatform/pubsub2inbox
pyDag
Posts with mentions or reviews of pyDag.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-15.
-
Data Engineering Projects for Beginners
Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag
- How to build a DAG based Task Scheduling tool for Multiprocessor systems using python
What are some alternatives?
When comparing pubsub2inbox and pyDag you can also consider the following projects:
dataproc-templates - Dataproc templates and pipelines for solving simple in-cloud data tasks
distance-metrics - Distance metrics are one of the most important parts of some machine learning algorithms, supervised and unsupervised learning, it will help us to calculate and measure similarities between numerical values expressed as data points
gcp-flowlogs-reader - Command line tool and Python library for working with Google Cloud VPC Flow Logs
docker-livy - Dockerizing and Consuming an Apache Livy environment
dimutex - asyncio Python library for distributed mutex with GCS as a backend
livyc - Apache Spark as a Service with Apache Livy Client