# Calculating Percentiles on Streaming Data Part 5: C++ Library

This is part 5 of my series on calculating percentiles on streaming data.

I have created a reusable C++ library which contains my implementation of the streaming percentile algorithms found within this blog post and published it to GitHub. Here’s what using it looks like:

```
#include <stmpct/gk.hpp>
using namespace stmpct;
double epsilon = 0.1;
gk g(epsilon);
for (int i = 0; i < 1000; ++i)
g.insert(rand());
double p50 = g.quantile(0.5); // Approx. median
double p95 = g.quantile(0.95); // Approx. 95th percentile
```

You can find it here: