pipelines

What the project is

pipelines is a Jupyter Notebook project hosted on GitHub. 🔀 Orquestrador de fluxos de captura, ingestão e tratamento de dados da BD Esse repositório contém fluxos de captura e subida de dados no datalake da Base dos Dados. The repository is maintained by basedosdados and tracks activity through its public issue tracker and commit history. Readers who want a working example rather than a bare library will find the documentation and the linked resources useful for getting a first build running.

What it offers

The pipelines README focuses on describing the project behaviour and its intended audience instead of a long feature checklist. The description and the introductory sections explain what the tool does and which problems it addresses. Browsing the source tree shows the modules and sample files that make up the actual implementation.

How to set it up

The pipelines repository points users to https://github.com/basedosdados/pipelines for the source and the setup notes. Although the README does not embed a single copy paste command block, it describes the prerequisites and the workflow needed to use the project. Reading the installation section and the example files is the reliable path to a working environment. The maintainers keep the documentation in the repository so it stays in step with the code.

License and project status

pipelines is written primarily in Jupyter Notebook and is released under the an unstated license license, which sets the terms for reuse and redistribution. The project reports around 48 stars on GitHub, a signal of how many developers have bookmarked it. The source was last updated on 2026-08-21. The canonical location is https://github.com/basedosdados/pipelines, where the license file, the changelog and the open issues give the most current state of the work. Anyone planning to depend on it should read the license text directly before shipping it inside another product.

Editorial conclusion

The pipelines source lives at https://github.com/basedosdados/pipelines under the an unstated license license and is mainly written in Jupyter Notebook. The README and the linked examples remain the place to confirm the current behaviour before adopting the project.