FAERS Explorer
A live interactive Streamlit dashboard over the FDA Adverse Event Reporting System. Pick any drug and see its top reported reactions, reports per year, and age/sex demographics — with a built-in panel on why these counts measure attention, not harm.
What it does
You pick a drug and the dashboard returns:
- Its top reported adverse reactions (by report count)
- Reports filed per year
- Age and sex breakdown of reporters
There is also a built-in panel explaining what these numbers actually measure. FAERS counts are driven by who files reports, not by how often an adverse event occurs in patients. More reports for a drug does not mean the drug is more dangerous — it can mean it is more widely used, more scrutinised, or that a safety signal has already been publicised. The dashboard makes that explicit.
Why I built it
I kept reading pharmacovigilance literature that cited FAERS counts without that caveat. I wanted a tool that showed the data and the caveat together, so the interpretation is part of the interface.
Stack
Python · pandas · matplotlib · Streamlit · openFDA API