On the recordRead 9 Oct 202620 facts
Phitter
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Read 9 Oct 2026 · phitter.io
On the record
- Bayesian analysis
- Nophitter.io · read 23 Sep 2026
- Browser processing
- The fitting calculation runs locally through Pyodide and WebAssembly, and observations are not sent to a Phitter fitting server.phitter.io · read 9 Oct 2026
- Creator
- The project says it was created by Sebastián José Herrera Monterrosa.phitter.io · read 9 Oct 2026
- Data import formats
- TXT, CSV, XLSX, public URLphitter.io · read 23 Sep 2026
- Data input
- Users can paste observations or import TXT, CSV, XLSX, or a file served from a public URL.phitter.io · read 9 Oct 2026
- Deployment
- bothphitter.io · read 23 Sep 2026
- Distribution catalogue
- The web application covers 87 distributions: 77 continuous and 10 discrete.phitter.io · read 9 Oct 2026
- Goodness-of-fit
- It reports Kolmogorov–Smirnov and chi-square results for discrete fits, and also Anderson–Darling results for continuous fits.phitter.io · read 9 Oct 2026
- Intended users
- The project describes applications in data science, operations research, and artificial intelligence.phitter.io · read 9 Oct 2026
- Minimum sample
- The web application requires at least 20 numeric observations.phitter.io · read 9 Oct 2026
- Open source
- The Python kernel is open source under the MIT licence.phitter.io · read 9 Oct 2026
- Privacy detail
- The site says it uses analytics and external services described in its privacy policy.phitter.io · read 9 Oct 2026
- Purpose
- Phitter fits observed data to theoretical probability distributions and ranks candidate models.phitter.io · read 9 Oct 2026
- Python library
- Phitter is also available as a Python package for notebooks and pipelines.phitter.io · read 9 Oct 2026
- Regression models
- Nophitter.io · read 23 Sep 2026
- Research record
- Phitter has a peer-reviewed software paper in the Journal of Open Source Software.phitter.io · read 9 Oct 2026
- Scripting support
- Yesphitter.io · read 23 Sep 2026
- Statistical tests
- Yesphitter.io · read 23 Sep 2026
