Datasheet is a Python package that attempts to provide the advantages of a Jupyter Notebook
without the disadvantages. It generates html files that look somewhat similar to
a notebook without the code in it. You can add matplotlib graphs, markdown text, pandas tables
and nifti images with a single line, and get a nice output. For everything else the repr()
function is used. Additionally, some simple layouting is supported.
The documentation, which includes an example of a generated report can be found here
- Version 1.2.2
- Removes nifti support, as browsers don't permit loading it anymore without a server, which defeats the purpose
- Updates the example
- adds jinja2 dependency as this appears to be neccessary now
- Version 1.2.1
- Fixes a bug, that caused a crash if an empty string was provided as md
- Version 1.2.0
- Adds a new Feature: Headings (only those that also show up in the
- TOC) can now be clicked to hide their contents
- Version 1.1.3
- Automatically creates containing folder on instantiation
- Version 1.1.2
- Has a new css template for pathfinder
- Version 1.1.1
- Fixes a bug in gated cache, that wasn't caught by a test before (sorry)
- Version 1.1.0
- Changes the default CSS to look way nicer, borrowed from
- https://gist.github.com/killercup/5917178
- adds stand alone mode
- adds Layout classes.
- Removes tuple interpretation by Sheet.__lshift__, use the Layouts instead
- Version 1.0.1
- set matplotlibs rendering back-end to agg before importing pyplot, so that
- the library does not depend on tkinter
- Version 1.0 - release