The calls for research to be transparent and reproducible have never been louder. But today's tools for reproducible research can be intimidating - especially if you're not a coder. Stencila makes reproducible research more accessible with intuitive word processor and spreadsheet interfaces that you and your colleagues are already used to.
Create interactive, fully reproducible documents using a familiar visual authoring interface. Use code cells to produce figures based on data - no more copying and pasting static images and tables! Cite figures and references, without having to worry about citation formatting.
Leverage the power of data manipulation using languages like R, Python, and SQL from within Stencila Sheets. Use formulas to do calculations, create figures next to the data and reference them in the manuscript. 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.
Stencila is developed not to replace existing tools, but to complement them. We are working with the communities of existing open source tools to improve interoperability. Stencila also aims to support file formats commonly used by researchers for reproducibility such as Jupyter Notebooks, RMarkdown and more.
Stencila projects are self-contained archives of documents and assets. We are working with authors and publishers on formats which extend existing publishing standards - allowing your publications to embed code and making the publication process faster.
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.