somm_airdrop VS bigquery-schema-generator

Compare somm_airdrop vs bigquery-schema-generator and see what are their differences.

somm_airdrop

Sommelier Finance (SOMM) token distribution for the airdrop proposed in Sips-002 (by VolumeFi)

bigquery-schema-generator

Generates the BigQuery schema from newline-delimited JSON or CSV data records. (by bxparks)
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somm_airdrop bigquery-schema-generator
1 1
1 232
- -
0.0 6.3
over 2 years ago 4 months 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.

somm_airdrop

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

bigquery-schema-generator

Posts with mentions or reviews of bigquery-schema-generator. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-15.

What are some alternatives?

When comparing somm_airdrop and bigquery-schema-generator you can also consider the following projects:

BigQuery-Python - Simple Python client for interacting with Google BigQuery.

Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

professional-services - Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.

bq-schema-generator

ethereum-etl - Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ