# Novartis Open Source Initiative — developer ecosystem report

> Hosts open source projects for Novartis R&D. Details and instructions can be found on go/OSI (from Novartis network).

- GitHub org: `Novartis`
- Category: other
- Overall score: 39.0 / 100
- Overall rank: #496
- Last refreshed: 2026-08-21

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 56.0 | #305 | ~22% |
| Education | 76.0 | #217 | ~18% |
| AI readiness | 15.0 | #682 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 29.0 | #533 | ~16% |
| Reach | 43.0 | #452 | ~18% |
| Momentum | 33.0 | #450 | ~14% |

## Links

- GitHub: https://github.com/Novartis
- Website: https://novartis.com

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 1,523 |
| Forks | 362 |
| Open issues | 237 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [torchsurv](https://github.com/Novartis/torchsurv) | 215 | Python | Deep survival analysis made easy  |
| [tidymodules](https://github.com/Novartis/tidymodules) | 145 | R | An Object-Oriented approach to Shiny modules  |
| [YADA](https://github.com/Novartis/YADA) | 82 | Java | Open-source Data Ops |
| [cellxgene-gateway](https://github.com/Novartis/cellxgene-gateway) | 70 | Python | Cellxgene Gateway allows you to use the Cellxgene Server provided by the Chan Zuckerberg Institute (https://github.com/c |
| [peax](https://github.com/Novartis/peax) | 68 | Jupyter Notebook | Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representa |
| [scar](https://github.com/Novartis/scar) | 63 | Python | scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single c |
| [UNIQUE](https://github.com/Novartis/UNIQUE) | 51 | Python | A Python library for benchmarking uncertainty estimation and quantification methods for Machine Learning models predicti |
| [ontobrowser](https://github.com/Novartis/ontobrowser) | 47 | Java | OntoBrowser is a web-based application for managing ontologies |
| [shinyValidator](https://github.com/Novartis/shinyValidator) | 44 | HTML | Audit your Shiny apps at each commit. Multiple levels of testings are offered: startup and crash tests, performance test |
| [DRUG-seq](https://github.com/Novartis/DRUG-seq) | 36 | R | DRUG (Digital RNA with pertUrbation of Genes)-seq data analysis pipeline |
| [pQSAR](https://github.com/Novartis/pQSAR) | 35 | Python | Massively multitask stacked model for predicting activity of thousands of biological assays |
| [pisces](https://github.com/Novartis/pisces) | 31 | Python | PISCES is a pipeline for rapid transcript quantitation, genetic fingerprinting, and quality control assessment of RNAseq |

## Methodology

Scores are computed from public signals only (GitHub, package registries, docs sites, community platforms). Pillar definitions: https://www.smoower.com/docs.md

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