Show HN: nbpipe – A lightweight workflow runner for Jupyter notebooks
nbpipe is a tool designed to run sequences of Jupyter notebooks as workflows from the command line or JupyterLab. Users can create a workflow by defining a YAML file that specifies the order of notebook execution and expected outputs. The tool simplifies the process of managing and executing multiple notebooks in a structured manner.
- ▪nbpipe allows users to run Jupyter notebooks as workflows from the command line or JupyterLab.
- ▪To use nbpipe, a user must create a .nbpipe/ directory and add a workflow YAML file.
- ▪The YAML file defines the sequence of notebooks to run and their expected outputs.
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| Original publisher | GitHub |
| Canonical URL | https://github.com/ngafar/nbpipe |
| Publication time | Sat, 16 May 2026 20:49:55 +0000 |
| Retrieval time | 2026-05-16T21:10:19.063Z |
| Last seen | 2026-05-16T21:10:19.063Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | hB-z-9cWxxkJ |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
nbpipe Run sequences of Jupyter notebooks as a workflow from the command line or the JupyterLab sidebar. Installation pip install nbpipe Usage Create a .nbpipe/ directory at the root of your project and add a workflow YAML file inside it. # .nbpipe/my_workflow.yaml # Notebook paths are relative to the project root name: my_workflow steps: - notebook: prepare_data.ipynb output: data/processed.csv - notebook: train_model.ipynb Run it from the CLI: nbpipe run .nbpipe/my_workflow.yaml or from JupyterLab: Step fields Field Required Description notebook yes Notebook to run, relative to the project root output no File the notebook must produce — workflow fails if absent
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.