
📊 Phitter: Find the Best Probability Distribution for Your Data
Ever needed to know which statistical distribution best fits your data? 🤔
Phitter is a free, open-source tool that solves it for you. It studies over 80 probability distributions and applies 3 goodness-of-fit tests to find the one that best represents your dataset.
🔬 Tests included:
- Chi-Square
- Kolmogorov-Smirnov
- Anderson-Darling
🐍 Also available as a Python library:
pip install phitterKey features#
- 📊 80+ distributions: continuous and discrete
- 🧪 3 goodness-of-fit tests: Chi-Square, Kolmogorov-Smirnov, and Anderson-Darling
- 📈 Interactive visualizations (histogram + PDF/CDF)
- 📋 Modeling guides and spreadsheets for each distribution
- 🏭 Process simulation and queuing systems (FIFO, LIFO, PBS)
- 🐍 Python library available:
pip install phitter
💡 Quick explanation#
In statistics and data modeling, choosing the right distribution is crucial for making good predictions. Phitter automates that process: upload your data, and it tells you which of the 80+ distributions fits best, with clear visualizations and a guide on how to use it in real projects.
More information at the link 👇
Also published on LinkedIn.

