🔍 Fitting distributions with distfit in Python#
In data science, choosing the right distribution for your data can mean the difference between a mediocre model and one that is truly useful.
distfit ⭐ is a Python library that automates this process: it compares multiple distributions, selects the best one, and evaluates how well it fits your data.
✨ Key points
- 📊 Automatic distribution fitting
- ⚙️ Statistical comparison among multiple alternatives
- 🚀 Ideal for anomaly detection, risk modeling, and exploratory analysis
- 🐍 Easy to integrate into any Python workflow
🧩 In a few words#
Imagine you have a dataset and want to know what shape it has: does it look like a bell curve? an exponential distribution? something stranger?
distfit tests many possible shapes and tells you which fits best. This lets you better understand your data and make more informed decisions without being a statistics expert.
More information at the link 👇
Also published on LinkedIn.
