RTFLITE 1.0.0: Production-ready clinical TLFs in Python

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We are delighted to announce the release of {rtflite} 1.0.0, Marking an important milestone in bringing production-ready TLF generation options in RTF format to Python for reporting of clinical test. This important release represents our dedication to provide the pharmaceutical industry with robust, reliable tools for making tables, entries and figures (TLFs) in RTF format.

What is RTFLITE?

{rtflite} is a Python package that is specially designed for generating TLFs in RTF format for reporting of clinical test. Inspired by the {r2rtf} It offers a programmatic interface to create highly adapted TLFs that meet the requirements for submitting the regulations. When used together with Pkglite for Python” rtflite Bridging the gap between Python’s Data Science Ecosystem and the specialized requirements of reporting and submitting clinical test.

Important improvements in RTFLITE 1.0.0

Embed

With the RTFFigure Function introduced in RTFLITE 1.0.0, we can enclose several figures with titles, footnotes and data sources (examples).

Table combination

RTFDocument now supports a list of tables. This allows users to combine multiple tables to create advanced layouts (examples).

Gets to work

View the Rtflite Quick Start Guide.

Recognition

We recognize the pharmaceutical community for feedback and contributions, the R2RTF team for architectural inspiration and the UV project For simplifying Python -Milieubeheer. UV is a fast, rust-based tool that unites dependency resolution, packaging and isolated environments that have contributed to saving our time in building, testing and publishing Python packages. We also appreciate Claude code for accelerating our AI-assisted development workflow. See our for project architecture, coding standards and shared workflows CLAUDE.md And Contributing guidelines.

Indemnification

This blog contains opinions that only belong to the authors and do not necessarily reflect the strategy of their respective organizations.

Last updated

2025-08-13 17: 00: 08.369419

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Quote

Bibtex quote:

@online{zhang2025,
  author = {Zhang, Yilong and Xiao, Nan},
  title = {Rtflite 1.0.0: {Production-Ready} {Clinical} {TLFs} in
    {Python}},
  date = {2025-08-13},
  url = {https://pharmaverse.github.io/blog/posts/2025-08-13_rtflite_1.0.0/rtflite.html},
  langid = {en}
}

Name this work for:

Zhang, Yilong and Nan Xiao. 2025. “RTFLITE 1.0.0: ProductionsAdy Clinical TLFs in Python.” August 13, 2025. https://pharmaverse.github.io/blog/posts/2025-08-13_rtflite_1.0.0/rtflite.html.

#RTFLITE #1.0.0 #Productionready #clinical #TLFs #Python #RBloggers

RTFLITE 1.0.0: Production-ready clinical TLFs in Python | R-Bloggers

What is RTFLITE?