# Bosch Research — developer ecosystem report

- GitHub org: `boschresearch`
- Category: ai
- Overall score: 34.0 / 100
- Overall rank: #632
- Last refreshed: 2026-08-14

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 52.0 | #395 | ~22% |
| Education | 50.0 | #769 | ~18% |
| AI readiness | 8.0 | #923 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 39.0 | #367 | ~16% |
| Reach | 40.0 | #491 | ~18% |
| Momentum | 39.0 | #352 | ~14% |

## Links

- GitHub: https://github.com/boschresearch
- Website: https://www.bosch.com
- Docs: https://developer.bosch.com

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 3,342 |
| Forks | 529 |
| Open issues | 113 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [unetgan](https://github.com/boschresearch/unetgan) | 403 | Python | Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020) |
| [OASIS](https://github.com/boschresearch/OASIS) | 339 | Python | Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021) |
| [3dgeer](https://github.com/boschresearch/3dgeer) | 198 | Python | [ICLR 2026] The official implementation associated with the paper "3DGEER: 3D Gaussian Rendering Made Exact and Efficien |
| [gdbfuzz](https://github.com/boschresearch/gdbfuzz) | 194 | Python | Fuzzing Embedded Systems using Hardware Breakpoints |
| [pylife](https://github.com/boschresearch/pylife) | 191 | Python | a general library for fatigue and reliability |
| [Open3DSG](https://github.com/boschresearch/Open3DSG) | 167 | Python | [CVPR 2024] Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationship |
| [CNC_Machining](https://github.com/boschresearch/CNC_Machining) | 142 | Jupyter Notebook | data set for process monitoring on CNC machines |
| [BCAI_kaggle_CHAMPS](https://github.com/boschresearch/BCAI_kaggle_CHAMPS) | 129 | Python | Bosch solution to CHAMPS Kaggle competition |
| [DroidCalib](https://github.com/boschresearch/DroidCalib) | 106 | Python | — |
| [RelationField](https://github.com/boschresearch/RelationField) | 88 | Python | [CVPR 2025] RelationField: Relate Anything in Radiance Fields |
| [pcg_gazebo](https://github.com/boschresearch/pcg_gazebo) | 74 | Python | Procedural Generation for Gazebo |
| [blech](https://github.com/boschresearch/blech) | 71 | F# | Blech is a language for developing reactive, real-time critical embedded software. |

## 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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