Democratizing-Models · cburgard · Aug 7, 2026
diff --git a/docs/projects.de.md b/docs/projects.de.md
@@ -15,6 +15,17 @@ HS³ ist ein implementierungsunabhängiges Format zur Veröffentlichung statisti
 [:material-book-open-variant: Dokumentation](https://hep-statistics-serialization-standard.github.io/){ .md-button }
 [:fontawesome-brands-github: Quellcode](https://github.com/hep-statistics-serialization-standard){ .md-button }
 [:material-file-document-outline: Publikation](https://arxiv.org/abs/2606.01760){ .md-button }
+[:material-test-tube: Neuen Testfall einreichen](https://hs3-fixtures.app.cern.ch/){ .md-button }
+
+</div>
+
+<div class="project-card" markdown>
+### Amplituden-Serialisierung
+
+Amplitude Serialization ist ein maschinenlesbares Format zur softwareunabhängigen Beschreibung von Streuamplituden. Es stellt eine standardisierte Darstellung von Amplituden und ihrer mathematischen Struktur bereit und ermöglicht so den Austausch, die langfristige Archivierung und die Wiederverwendung zwischen unterschiedlichen Software-Frameworks und Analyse-Workflows.
+
+[:material-book-open-variant: Dokumentation](https://github.com/RUB-EP1/amplitude-serialization){ .md-button }
+[:fontawesome-brands-github: Quellcode](https://github.com/RUB-EP1/amplitude-serialization){ .md-button }
 
 </div>
 
@@ -27,6 +38,7 @@ FlatPPL ist eine probabilistische Programmiersprache in Entwicklung, mit der sic
 [:material-file-document-outline: Entwurf](https://github.com/flatppl/flatppl-design){ .md-button }
 [:fontawesome-brands-github: Quellcode](https://github.com/flatppl){ .md-button }
 [:material-code-braces: Beispiele](https://github.com/flatppl/flatppl-examples){ .md-button }
+[:material-graph-outline: Interaktive Visualisierung](https://flatppl.github.io/flatppl-js/#model=demo%2Ffeature-test1.flatppl){ .md-button }
 
 </div>
 
@@ -82,6 +94,19 @@ pyHS3 ist eine reine Python-Implementierung von HS³, die serialisierte Modelle
 [:fontawesome-brands-github: Quellcode](https://github.com/scipp-atlas/pyhs3){ .md-button }
 [:material-language-python: Python-Paket](https://pypi.org/project/pyhs3/){ .md-button }
 
+</div>
+
+<div class="project-card" markdown>
+
+### Newtrinos.jl
+
+Newtrinos.jl ist ein Julia-Framework für statistische Inferenz in der Neutrinophysik. Es stellt Werkzeuge zur Konstruktion und Auswertung likelihood-basierter Analysen in einer flexiblen wissenschaftlichen Rechenumgebung bereit. Dabei liegt der Schwerpunkt auf wiederverwendbaren statistischen Modellen und modernen numerischen Verfahren für die Analyse von Neutrinoexperimenten.
+
+[:material-book-open-variant: Dokumentation](https://davschu.github.io/Newtrinos.jl){ .md-button }
+[:fontawesome-brands-github: Quellcode](https://github.com/philippeller/Newtrinos.jl){ .md-button }
+
+
+
 </div>
 
 </div>
diff --git a/docs/projects.en.md b/docs/projects.en.md
@@ -15,9 +15,22 @@ HS³ is an implementation-independent format for publishing statistical models u
 [:material-book-open-variant: Documentation](https://hep-statistics-serialization-standard.github.io/){ .md-button }
 [:fontawesome-brands-github: Source code](https://github.com/hep-statistics-serialization-standard){ .md-button }
 [:material-file-document-outline: Paper](https://arxiv.org/abs/2606.01760){ .md-button }
+[:material-test-tube: Submit test cases](https://hs3-fixtures.app.cern.ch/){ .md-button }
 
 </div>
 
+<div class="project-card" markdown>
+
+### Amplitude Serialization
+
+Amplitude Serialization is a machine-readable format for representing scattering amplitudes independently of a particular software implementation. It provides a standardized description of amplitudes and their mathematical structure, enabling their exchange, preservation, and reuse across different computational frameworks and analysis workflows.
+
+[:material-book-open-variant: Documentation](https://github.com/RUB-EP1/amplitude-serialization){ .md-button }
+[:fontawesome-brands-github: Source code](https://github.com/RUB-EP1/amplitude-serialization){ .md-button }
+
+</div>
+
+
 <div class="project-card" markdown>
 
 ### FlatPPL
@@ -27,6 +40,7 @@ FlatPPL is a developing probabilistic programming language for expressing statis
 [:material-file-document-outline: Design](https://github.com/flatppl/flatppl-design){ .md-button }
 [:fontawesome-brands-github: Source code](https://github.com/flatppl){ .md-button }
 [:material-code-braces: Examples](https://github.com/flatppl/flatppl-examples){ .md-button }
+[:material-graph-outline: Interactive visualizer](https://flatppl.github.io/flatppl-js/#model=demo%2Ffeature-test1.flatppl){ .md-button }
 
 </div>
 
@@ -82,6 +96,19 @@ pyHS3 is a pure-Python implementation of HS³ that turns serialized models into
 [:fontawesome-brands-github: Source code](https://github.com/scipp-atlas/pyhs3){ .md-button }
 [:material-language-python: Python package](https://pypi.org/project/pyhs3/){ .md-button }
 
+</div>
+
+<div class="project-card" markdown>
+
+### Newtrinos.jl
+
+Newtrinos.jl is a Julia framework for statistical inference in neutrino physics. It provides tools for constructing and evaluating likelihood-based analyses in a flexible computational environment, with an emphasis on reusable statistical models and modern numerical methods for neutrino measurements.
+
+[:material-book-open-variant: Documentation](https://davschu.github.io/Newtrinos.jl){ .md-button }
+[:fontawesome-brands-github: Source code](https://github.com/philippeller/Newtrinos.jl){ .md-button }
+
+
+
 </div>
 
 </div>