cf12bcb001d88690f097e651b4cd554d98d088ae
The file is empty.
Description
For a site I was doing spam analysis, how to recognize it. I do this by checking how it is written. How much numbers are used. How many capitals. That's the first indication. I made it originally myself but a few people liked the project and wrote their versions in their preferred language. Very happy about that.
We are bench marking it as challenge, the benchmark is doing analysis for 900 books in txt format. The fastest application wins. By now, every language has as wel won as lost. We keep iterating and making them faster.
Thanks 12bitloat, BordedDev en JestDotty for contribution of their source.
486 MiB
Languages
Rust
73%
C++
12.9%
C
6.8%
Swift
3.4%
Python
2.2%
Other
1.6%