# F. Hoffmann-La Roche — developer ecosystem report

- GitHub org: `Roche`
- Category: other
- Overall score: 39.0 / 100
- Overall rank: #496
- Last refreshed: 2026-08-20

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 58.0 | #260 | ~22% |
| Education | 42.0 | #914 | ~18% |
| AI readiness | 10.0 | #825 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 53.0 | #109 | ~16% |
| Reach | 18.0 | #918 | ~18% |
| Momentum | 8.0 | #813 | ~14% |

## Links

- GitHub: https://github.com/Roche
- Website: https://www.roche.com
- Docs: https://developers.roche.com

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 880 |
| Forks | 154 |
| Open issues | 144 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [pyreadstat](https://github.com/Roche/pyreadstat) | 425 | C | Python package to read and write sas, spss and stata files into/from pandas and polars data frames. It is a wrapper for  |
| [BalancedLossNLP](https://github.com/Roche/BalancedLossNLP) | 133 | Jupyter Notebook | — |
| [neuro-green](https://github.com/Roche/neuro-green) | 59 | Python | This project contains the code for a deep learning architecture to analyze EEG data. |
| [gitlab-configuration-as-code](https://github.com/Roche/gitlab-configuration-as-code) | 52 | Python | Manage GitLab configuration as code to make GitLab easily managable, traceable and reproducible. |
| [foxops](https://github.com/Roche/foxops) | 48 | Python | Templating for Git Repositories |
| [gitlab-stats](https://github.com/Roche/gitlab-stats) | 23 | TypeScript | Gitlab Stats provides more statistics from the GitLab API services |
| [neuro-meeglet](https://github.com/Roche/neuro-meeglet) | 23 | Jupyter Notebook | Complex-valued Morlet wavelets for EEG signal analysis and feature engineering. |
| [OligoGym](https://github.com/Roche/OligoGym) | 20 | Jupyter Notebook | OligoGym is a python package that streamlines processes involving featurization, training and evaluation of predictive m |
| [neuro-meeglet-paper](https://github.com/Roche/neuro-meeglet-paper) | 18 | Python | Code for spectral analysis of EEG using Morlet wavelets based on the frequency-based parametrization presented in [Bomat |
| [the-ambassador](https://github.com/Roche/the-ambassador) | 18 | Kotlin | The Ambassador helps users of coding platforms to create findable, well maintained, properly documented and secure proje |
| [Global-HTA-Evidence-Open](https://github.com/Roche/Global-HTA-Evidence-Open) | 14 | R | Collection of R Packages that support analysis for the purposes of Health Technology Assessment (HTA) |
| [MAIC](https://github.com/Roche/MAIC) | 8 | R | R package that facilitates performing matching-adjusted indirect comparison (MAIC) anaylsis for a disconnected treatment |

## Methodology

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

---

HTML version: https://www.smoower.com/roche
Machine index: https://www.smoower.com/llms.txt · MCP server: https://www.smoower.com/mcp · REST API: https://www.smoower.com/api/v1