ethereum-etl-airflow VS pubsub2inbox

Compare ethereum-etl-airflow vs pubsub2inbox and see what are their differences.

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 (by blockchain-etl)
Ethereum blockchain-analytics data-engineering Cryptocurrency Web3 apache-airflow Crypto data-analytics ETL GCP google-cloud google-cloud-platform on-chain-analysis
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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)
cloud-run gcp-cloud-functions google-cloud google-cloud-platform Pubsub
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ethereum-etl-airflow pubsub2inbox
7 1
387 31
0.5% -
9.0 8.4
6 days ago 17 days ago
Python Python
MIT License Apache License 2.0
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ethereum-etl-airflow

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

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 are some alternatives?

When comparing ethereum-etl-airflow and pubsub2inbox you can also consider the following projects:

badger-multisig - Badger DAO's EVM multisig operations.

dataproc-templates - Dataproc templates and pipelines for solving simple in-cloud data tasks

forseti-security - Forseti Security

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

public-datasets - The list of public blockchain datasets in BigQuery

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

ethers.js-bigquery - ethers.js library, compiled for use in Google BigQuery

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

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.

F2-Data-Pipeline - Pipeline for Automated Updates of Kaggle's "Formula 2 Dataset"

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

ethereum-etl-airflow vs badger-multisig pubsub2inbox vs dataproc-templates ethereum-etl-airflow vs forseti-security pubsub2inbox vs gcp-flowlogs-reader ethereum-etl-airflow vs public-datasets pubsub2inbox vs pyDag ethereum-etl-airflow vs ethers.js-bigquery pubsub2inbox vs dimutex ethereum-etl-airflow vs dataproc-templates pubsub2inbox vs cloud-nebulous-serverless ethereum-etl-airflow vs F2-Data-Pipeline pubsub2inbox vs iris3