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Phitter: Find the Best Probability Distribution for Your Data

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📊 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 phitter

Key features
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  • 📊 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
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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.
Juan Pedro Bretti Mandarano
Author
Juan Pedro Bretti Mandarano