Python automatic-api Projects
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A couple of reasons which pop to mind:
- Searching a plain text data file is O(n). Searching a SQLite database that has been properly indexed, which is very easy to do nowadays with FTS5, is O(log n) worst case scenario and O(1) in the best case. This doesn't explain why SQLite over a dataframe or anything, but it definitely justifies it over plain text for large email collections.
- SQLite is really easy to write custom views and programs around. Virtually every major programming language can work with it without issue. See also: simonw's wonderful https://datasette.io/ .
- SQLite is an accepted archival format by the Library of Congress, if you ever want to go down the rabbit hole of digital preservation.
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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Project mention: Automatically Generate REST and GraphQL APIs From Your Database | dev.to | 2024-12-19
Some solutions are flexible to handle multiple types of databases. Often allowing you to combine them into a single API. We already mentioned Dreamfactory, but others include Apinizer, Directus, and sandman2.
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