# BASF — developer ecosystem report

> We create chemistry for a sustainable future

- GitHub org: `basf`
- Category: other
- Overall score: 32.0 / 100
- Overall rank: #717
- Last refreshed: 2026-08-21

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 54.0 | #350 | ~22% |
| Education | 50.0 | #774 | ~18% |
| AI readiness | 10.0 | #825 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 30.0 | #513 | ~16% |
| Reach | 46.0 | #394 | ~18% |
| Momentum | 9.0 | #798 | ~14% |

## Links

- GitHub: https://github.com/basf
- Website: https://www.basf.com
- Docs: https://basf.com/docs

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 613 |
| Forks | 87 |
| Open issues | 123 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [MolPipeline](https://github.com/basf/MolPipeline) | 228 | Jupyter Notebook | A Python package for processing molecules with RDKit in scikit-learn |
| [mlipx](https://github.com/basf/mlipx) | 106 | Python | Machine-Learned Interatomic Potential eXploration (mlipx) is designed at BASF for evaluating machine-learned interatomic |
| [autoadsorbate](https://github.com/basf/autoadsorbate) | 63 | Python | Chemical intuition for surface science in a package. |
| [mopti](https://github.com/basf/mopti) | 31 | Python | Lightweight tools for experimental design and multi-objective optimization. |
| [svelte-spectre](https://github.com/basf/svelte-spectre) | 21 | Svelte | UI-kit based on *spectre.css* and powered by *svelte* |
| [ARCANA](https://github.com/basf/ARCANA) | 21 | Python | Package for the early-stage analysis and lifecycle monitoring of battery degradation |
| [pyTEM](https://github.com/basf/pyTEM) | 15 | Python | Control and Automation of Transmission Electron Microscopes |
| [doe](https://github.com/basf/doe) | 14 | Python | Python package for flexible generation of D-optimal experimental designs |
| [precomplex_generator](https://github.com/basf/precomplex_generator) | 12 | Python | The precomplex generator is a tool for obtaining suitable input structures for automated transition-state (TS) searches  |
| [metis-gui](https://github.com/basf/metis-gui) | 9 | Svelte | Modular standalone fat-client GUI for X-ray diffraction data simulations, analysis, and sharing |
| [neural-fingerprint-uncertainty](https://github.com/basf/neural-fingerprint-uncertainty) | 9 | Python | — |
| [EPPOontology](https://github.com/basf/EPPOontology) | 8 | — | Ontology for the respresentation of the information available in the EPPO Global Database. |

## 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/basf
Machine index: https://www.smoower.com/llms.txt · MCP server: https://www.smoower.com/mcp · REST API: https://www.smoower.com/api/v1