pubsub2inbox VS dataproc-templates

Compare pubsub2inbox vs dataproc-templates and see what are their differences.

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)

dataproc-templates

Dataproc templates and pipelines for solving simple in-cloud data tasks (by GoogleCloudPlatform)
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pubsub2inbox dataproc-templates
1 1
32 111
- 4.5%
8.4 8.7
12 days ago 5 days 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.

pubsub2inbox

Posts with mentions or reviews of pubsub2inbox. We have used some of these posts to build our list of alternatives and similar projects.

dataproc-templates

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

What are some alternatives?

When comparing pubsub2inbox and dataproc-templates you can also consider the following projects:

gcp-flowlogs-reader - Command line tool and Python library for working with Google Cloud VPC Flow Logs

ethereum-etl-airflow - Airflow DAGs for exporting, loading, and parsing the Ethereum blockchain data. How to get any Ethereum smart contract into BigQuery https://towardsdatascience.com/how-to-get-any-ethereum-smart-contract-into-bigquery-in-8-mins-bab5db1fdeee

pyDag - Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag

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

dimutex - asyncio Python library for distributed mutex with GCS as a backend

forseti-security - Forseti Security

cloud-nebulous-serverless - This repo is for the codelabs (free, online, self-paced tutorials) showing developers how they can deploy the same app locally *and* to all three fully-managed serverless compute platforms from Google Cloud w/just minor config changes.

Patek - A collection of reusable pyspark utility functions that help make development easier!

iris3 - An upgraded and improved version of the Iris automatic GCP-labeling project

bigquery-utils - Useful scripts, udfs, views, and other utilities for migration and data warehouse operations in BigQuery.