steampipe VS XlsxWriter

Steampipe is a tool for querying cloud APIs and other data sources using SQL in a zero-ETL manner.

Readers may also enjoy Steampipe [1], an open source CLI to live query Google Sheets [2] and 140+ other services with SQL (e.g. AWS, GitHub, etc). It uses Postgres Foreign Data Wrappers under the hood and supports joins etc across the services. (Disclaimer - I'm a lead on the project.)

1 - https://github.com/turbot/steampipe

be mindful of its AGPLv3 https://github.com/turbot/steampipe/blob/v0.21.8/LICENSE (AFAIK v0.4.3 is the last MIT release https://github.com/turbot/steampipe/blob/v0.4.3/LICENSE ) and the actual providers are Apache 2 <https://github.com/turbot/steampipe-plugin-aws/blob/v0.131.0...> (but I don't know if provider drift makes them compatible with 0.4 or not)

iasql seems to be AWS only, but good for them for taking this on:

In a prior post I showed how to install Steampipe in AWS CloudShell to instantly query over 460+ resource types from your AWS APIs using SQL, and another post on how to use the Steampipe AWS Compliance mod to assess over 25+ security benchmarks across your AWS accounts.

Readers may find Steampipe's [1] AWS Thrifty Mod [2] useful. It will automatically scan multiple accounts and regions for 50 cost saving opportunities - many of which are looking for over-provisioned or unused resources. For example, it's crazy how much you can save by doing things like just converting your EBS volumes to the newer gp3 type. Combine with Flowpipe [3] to automate checks and actions. It's all open source and extensible.

1 - https://github.com/turbot/steampipe

Steampipe [1] is an open source project [2] that includes an embedded Postgres to instantly query cloud, code & more with SQL. This release expands our plugin ecosystem [3] to be a full Zero-ETL platform. Steampipe plugins can now run natively in your own Postgres as Foreign Data Wrappers [4], as SQLite extensions [5] or as simple data export tools [6]. Please give it a try, we'd love your feedback and contributions!

1 - https://steampipe.io

openpyxl

If you must, use xlsxwriter to write it directly into the Excel spreadsheet. This is kind of a pain. If you can get away with, say, writing the data to a CSV and then copy-pasting it into the Excel sheet, you should do that instead because it's so much more conceptually simple and works directly with the Python data structures that you parsed in Step 3. Automation doesn't have to be completely fire-and-forget to save you a ton of time!

https://xlsxwriter.readthedocs.io/ is what you are looking for most probably. Try using this library instead of pyplot for the above steps

xlsxwriter…

I've been in this situation a few times. I would just open the excel sheet in python using xlsxwriter: https://xlsxwriter.readthedocs.io/

Bam! https://xlsxwriter.readthedocs.io

For the opposite direction, I have had good luck with the XlsxWriter library

https://github.com/jmcnamara/XlsxWriter

I'm less familiar with the R ecosystem, but there are tools in the Python world to go that direction -- https://xlsxwriter.readthedocs.io/