Skip to main content

Execute and Render notebooks as HTML reports.

Project description

Generate reproducible reports from Rmarkdown or jupyter notebooks

Build Status Documentation Status The uncompromising python formatter

Reportsrender allows to create reproducible, consistently looking HTML reports from both jupyter notebooks and Rmarkdown files. It makes use of papermill and Rmarkdown to execute notebooks and uses Pandoc to convert them to HTML.

Features:
  • two execution engines: papermill and Rmarkdown.

  • support any format supported by jupytext.

  • create self-contained HTML that can be shared easily.

  • hide inputs and/or outputs of cells.

  • parametrized reports

See the documentation for more details!

Getting started

  • Execute an rmarkdown document to HTML using the Rmarkdown engine

reportsrender rmd my_notebook.Rmd report.html
  • Execute a parametrized jupyter notebook with papermill

reportsrender papermill jupyter_notebook.ipynb report.html --params="data_file=table.tsv"

TODO add example notebooks.

Usage from command line

reportsrender

Execute and render a jupyter/Rmarkdown notebook.

Usage:
  reportsrender <notebook> <out_file> [options]
  reportsrender --help

Options:
  -h --help             Show this screen.
  --cpus=<cpus>         Number of CPUs to use for Numba/Numpy/OpenBLAS/MKL [default: 1]
  --params=<params>     space-separated list of key-value pairs that will be passed
                        to papermill/Rmarkdown.
                        E.g. "input_file=dir/foo.txt output_file=dir2/bar.html"
  --engine=<engine>     Engine to execute the notebook. [default: auto]

Possible engines are:
    auto            Use `rmd` engine for `*.Rmd` files, papermill otherwise.
    rmd             Use `rmarkdown` to execute the notebook. Supports R and
                    python (through reticulate)
    papermill       User `papermill` to execute the notebook. Works for every
                    kernel available in the jupyter installation.

Installation

Manual install:

Get dependencies:

For the Rmarkdown render engine additionally:

  • R and the following packages:

rmarkdown
reticulate

Install from github:

pip install flit
flit installfrom github:grst/reportsrender

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

reportsrender-0.2.1.tar.gz (169.6 kB view details)

Uploaded Source

Built Distribution

reportsrender-0.2.1-py3-none-any.whl (361.4 kB view details)

Uploaded Python 3

File details

Details for the file reportsrender-0.2.1.tar.gz.

File metadata

  • Download URL: reportsrender-0.2.1.tar.gz
  • Upload date:
  • Size: 169.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.22.0

File hashes

Hashes for reportsrender-0.2.1.tar.gz
Algorithm Hash digest
SHA256 7b50c10e56a4df4e890221b8af40daed0a1a4e00f3b5e554c78977742c9c8681
MD5 4cdaca89bf47a7cab02ab67a922ddbdb
BLAKE2b-256 114e6b34df5c85723d97103d5600aea9c1b5877cd81c4a379ec583830ce39cb1

See more details on using hashes here.

File details

Details for the file reportsrender-0.2.1-py3-none-any.whl.

File metadata

File hashes

Hashes for reportsrender-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c3a47524f7237c6154064ca1cc39a79cc61a9098dc51354daf0f69c78b8cdc9c
MD5 0bfc8b49010530b6cf06d29558a0d3f8
BLAKE2b-256 67cf5e2dcfc0a12f47130c79146f13c62bed90503bc9e97897391a8aa4c651ba

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page