> For the complete documentation index, see [llms.txt](https://ixe.gitbook.io/swordfish/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ixe.gitbook.io/swordfish/overview.md).

# Overview

It is also written with performance in mind, by being written in Rust (which is blazingly fast:tm:) and with multi-threading as well as asynchronous execution with Tokio, it achieves very high performance when analyzing cards.

For instance, a drop analysis by "Apricot v6 Engine" would take 1.5-3s if it is fast, or even up to \~20s, and sometimes refuses to analyze. This would only take 300-700ms for Swordfish to do the analysis and sometimes the results are better than the mentioned engine.

About the database, MongoDB is used as it is so easy for me to work with, and it also performs very well with indexes. And the crucial part that helps this bot prevent most of the analysis failures is the database lookup by RegEx which is useful in this case.


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