Three licenses, one open project.
Qipu publishes three types of open output: the data pipeline code, the derived datasets, and the editorial content. Each is governed by the license best suited to its use.
What covers what
| Output | Scope | License |
|---|---|---|
| Pipeline code | Python pipeline (extraction, transformation), dbt models, export scripts, configurations | GNU AGPL-3.0 ↗ |
| Derived data | JSON/CSV files published under /public/data/ | Licence Ouverte Etalab 2.0 ↗ |
| Editorial content | Articles, analyses, methodology, AI summaries | Creative Commons CC BY 4.0 ↗ |
Free pipeline, network-aware copyleft
The pipeline code (Python + dbt + export scripts) is published under the GNU Affero General Public License version 3.
You may
- Clone the repository, study the code, audit it freely.
- Modify it for your own needs (local government, non-profit, research).
- Redeploy it for your territory (multi-city, multi-region, national scale).
- Use it commercially (training, consulting, custom integration).
You must
- Preserve copyright notices and the license in any redistribution.
- If you run a modified version on a publicly accessible server (website, SaaS), publish your modified version under AGPL-3.0 as well.
- Allow users of your modified version to access your source code.
A commercial license is available
If your organisation wishes to integrate our code into a proprietary product without publishing its modifications (e.g. a consulting firm integrating our pipeline into a software suite sold to its clients), a commercial license alternative to AGPL can be negotiated. Contact us to discuss terms.
Derived data: Etalab Open License 2.0
All published JSON and CSV files are under the Etalab Open License 2.0 for compatibility with the original sources (Paris Open Data, French State, INSEE).
You may
- Download files freely for any purpose, including commercial.
- Republish, modify, and cross with other datasets.
- Embed them in paid products (reports, studies, dashboards).
You must
- Cite the source: "Qipu · data derived from Paris Open Data, Etalab and INSEE".
- Keep the source and source_url fields present in our JSON files — they trace the origin row by row.
- Not imply that Qipu endorses your reuse.
Articles & analyses: CC BY 4.0
Articles, analyses and methodology texts are under Creative Commons Attribution 4.0 — freely reusable with attribution.
You may
- Quote a paragraph or an entire article in another medium.
- Translate an article and publish the translation.
- Reuse an analysis in a book, a course, a report (including commercial ones).
You must
- Cite Qipu (or the named author when indicated) with a link to the original article.
- Indicate whether you have modified the text (translation, summary, edit).
When a text is AI-generated
Some short summaries published on this site (grant-purpose plain-language rewrites, automatic translations) are generated by language models (Gemini, Claude). They are released under CC BY 4.0 like other editorial content, but their AI provenance must be disclosed if you republish them, in line with Paris Open Data editorial guidance and the European AI Act of August 2024 on transparent labelling of synthetic content.
How to cite us
If you are a journalist, researcher, student, or just curious, here is the recommended citation format for your articles, theses and reports:
Based on qipu.org, data derived from Paris Open Data, Etalab and INSEE (Etalab Open License 2.0). Full methodology: qipu.org/methode. Accessed [date].In doubt? Get in touch.
We respond within five business days to questions about license, attribution, citation, commercial integration or redistribution.