The record

The Univariate Distribution Relationships site in William & Mary’s mathematics domain includes Phitter on its “Links of interest” page. The link is labelled:

Phitter: Open-Source Data Fitting Software by Sebastian Jose Herrera Monterrosa

It points directly to phitter.io. The page was verified on 27 August 2026.

Field Detail
Institution William & Mary
Site Univariate Distribution Relationships
Page Links of interest
Page author metadata Larry Leemis
Destination https://phitter.io
Record type Curated resource link

The surrounding project

Univariate Distribution Relationships is a clickable reference for probability distributions and the transformations or relationships connecting them. Its resource page also links to journal articles about the chart, distribution diagrams, probability references, StatKey, Distributome, ProbOnto, and other statistical tools.

Phitter therefore appears in a domain-specific collection rather than a generic software directory. That context is useful: the link places the project beside resources consulted by people studying or working with probability distributions.

What this record does—and does not—mean

This is a genuine third-party academic-domain mention and a useful discovery link. It is not a peer-reviewed citation, ranking, or formal endorsement by William & Mary. Describing it as a curated link is both accurate and stronger than overstating its meaning.

For Phitter’s peer-reviewed software publication, see the JOSS paper.

Primary source