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[apawlik]

From @michael

Some suggestions in italics (nevertheless, @michael MANY THANKS!)

A word processor designed for scientific content


Connecting coding expertise with research knowledge

Create interactive, fully reproducible documents using a familiar visual authoring interface. Use code cells to produce figures based on data. Add an abstract and a bibliography to your article and cite figures and references, without having to worry about citation formatting.

Create interactive, fully reproducible documents using a familiar visual authoring interface. Use code cells to produce figures based on data. Combine different skills in one document. Showcase your reproducible data-driven research without oversimplifying it.

Spreadsheets for scientific needs


Spreadsheets made robust for research

Add data to your publication using the Stencila Sheets interface. Use formulas to do calculations, create figures next to the data and reference them in the manuscript. Cross-document updates are one of the key features of Stencila. It means that in an article you can reference data from a spreadsheet and vice versa. If you update the data in one place, all affected documents will update as well.

Leverage the power of data manipulation using R, Python, SQL and more from within the Stencila Sheets interface. Use formulas to do calculations, create figures next to the data and reference them in the manuscript. Make your code for data analysis available within the spreadsheets decreasing their error-proneness and enhancing reproducibility.

Interoperability with existing tools and workflows


[keep the title as is :-)]

Stencila is developed not to replace existing tools, but to complement them. We are working closely with the communities of existing open source tools to improve interoperability. For instance we are working with the team of Jupyter on tools to turn notebooks into a journal submissions. We are also evaluating whether the Stencila editor could be used as an alternative (more visual) interface to edit Jupyter Notebooks.

Stencila is complementary to the existing tools. It is not developed to replace but to integrate. Interoperability is at the heart of the project with the goal to support seamless collaboration between users of Jupyter Notebook, RMarkdown and spreadsheet applications.

Open File Format based on industry XML standards

Support for a variety of popular and standardised file formats

Stencila projects are self-contained archives of documents and assets. We are working with authors and publishers to promote a format called Dar, which is based on existing publishing standards (such as JATS). Publishers will be able to support it as a submission format, which will make the whole publishing process much faster.

Stencila projects are self-contained archives of documents and assets. Following its interoperability principle Stencila will support other file formats commonly used by researchers such as .ipynb, RMarkdown and more. Stencila is also compatible with JATS - the standard format used by publishers speeding up and easing the publishing process.*

Community-driven development


Stencila development is driven by its users. We consider every user as an integral part of the project. Using their experience and knowledge we can build a truly open set of tools meeting the needs of researchers.

Leave the Community section above as is :-)

Whilst this is great, I suggest the below could be a part of one of the subpages (documentation etc) since it gets to quite specific details.

Reactive code evaluation in different languages

In Stencila code evaluates live as you type. Because the execution engine analyses the dependencies between cells, it can perform the minimal update, making computation fast and responsive. This mechanism works with all available languages (e.g. R, Python, Javascript, SQL). You can even mix languages within a document.

[apawlik]

Being addressed by https://github.com/stencila/website/pull/37