https://github.com/daizutabi/panpdf
Transform Jupyter Notebooks and Markdown into publication-quality PDF documents with high-fidelity visualizations
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (14.0%) to scientific vocabulary
Keywords
Repository
Transform Jupyter Notebooks and Markdown into publication-quality PDF documents with high-fidelity visualizations
Basic Info
- Host: GitHub
- Owner: daizutabi
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://daizutabi.github.io/panpdf/
- Size: 1.95 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 41
Topics
Metadata Files
README.md
panpdf
panpdf is a powerful toolkit that bridges the gap between data science and academic publishing by seamlessly converting Jupyter Notebooks into high-quality PDF documents.
Key Features
- High-Fidelity Visualizations: Render matplotlib, seaborn, and holoviews plots in stunning PGF format for perfect LaTeX integration
- Scientific Excellence: Produce publication-ready documents with beautiful mathematical formulas and professional-looking figures
- Streamlined Workflow: Integrate with existing Jupyter-based data analysis pipelines
Getting Started
bash
pip install panpdf
Usage
bash
panpdf src -o a.pdf -n ../notebooks -d defaults.yaml -C
For more details, use panpdf --help.
bash
panpdf --help
Why panpdf?
As data science and academic research become increasingly intertwined, the need for tools that can produce professional publications directly from analysis code has never been greater. panpdf empowers researchers, data scientists, and technical writers to maintain a single source of truth — your Jupyter Notebook — while generating beautiful PDF documents suitable for:
- Academic papers and research articles
- Technical reports and documentation
- Data analysis presentations
- Educational materials and tutorials
Community & Contribution
panpdf is an open-source project that thrives on community contribution. Whether you're reporting bugs, suggesting features, or contributing code, your involvement helps make scientific publishing more accessible to everyone.
Join us in revolutionizing how data science meets academic publishing!
Owner
- Name: Daizu
- Login: daizutabi
- Kind: user
- Repositories: 28
- Profile: https://github.com/daizutabi
GitHub Events
Total
- Create event: 26
- Release event: 14
- Issues event: 8
- Delete event: 12
- Issue comment event: 12
- Push event: 124
- Pull request review event: 2
- Pull request event: 23
Last Year
- Create event: 26
- Release event: 14
- Issues event: 8
- Delete event: 12
- Issue comment event: 12
- Push event: 124
- Pull request review event: 2
- Pull request event: 23
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 37
- Total pull requests: 63
- Average time to close issues: about 20 hours
- Average time to close pull requests: about 3 hours
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 0.94
- Merged pull requests: 62
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 18
- Pull requests: 34
- Average time to close issues: about 5 hours
- Average time to close pull requests: about 5 hours
- Issue authors: 1
- Pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 0.97
- Merged pull requests: 33
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- daizutabi (38)
Pull Request Authors
- daizutabi (100)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 298 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 41
- Total maintainers: 1
pypi.org: panpdf
Transform Jupyter Notebooks and Markdown into publication-quality PDF documents with high-fidelity visualizations.
- Documentation: https://daizutabi.github.io/panpdf
- License: MIT License Copyright (c) 2020-present daizutabi <daizutabi@gmail.com> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Latest release: 0.7.2
published 10 months ago
Rankings
Maintainers (1)
Dependencies
- actions/checkout v4 composite
- actions/setup-python v5 composite
- codecov/codecov-action v4 composite
- actions/checkout v4 composite
- actions/setup-python v5 composite
- texlive/texlive latest build
- daizutabi/panpdf latest
- texlive/texlive latest
- aiohttp *
- ipykernel *
- nbformat *
- panflute >= 2.3.1
- pyyaml *
- pyzotero *
- rich *
- typer *