May sound trivial, but for me it's a simple charting tool.
I'm quite big on QA, but it's always been a problem for us, due to lack of tools. We have tons (millions) of time series being churned into proprietary files (neither of which can readily change). We've always had issues analysing these, be it analytically or visually. Two years ago, I wrote a parser in Python, which feeds the data into a browser interface. There, one can select values in a few () dropdowns - which denote dimensions, compare multiple files across these dimensions, and further manipulate these subsets of data. But the core are simple line charts from these data slices.
The whole thing is under 500 SLOC, it's blazing fast and it lets users cut through our data in no time. It has helped streamline our verification workflows, catch bugs, and allowed our clients to better understand the large amounts of data we send their way.