Skip to main content

Datasheet

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

Changelog

  • 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

Metadata

Release files for datasheet 1.2.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for datasheet 1.2.3
File Size Uploaded Provenance
datasheet-1.2.3.tar.gz 108.9 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for datasheet 1.2.3
File Interpreter ABI Platform
datasheet-1.2.3-py2.py3-none-any.whl Python 2, Python 3 none any Details

Total release size: 122.2 kB

Release files / datasheet-1.2.3.tar.gz

Download URL datasheet-1.2.3.tar.gz
Size 108.9 kB
Tags Source
SHA-256 checksum
How to use checksums
f60d1e4bbe91873672fbf702e986b99734c1ec9fc6597e3e53b472db55d37b7a
BLAKE2b-256 checksum
How to use checksums
194034521184ddd3f044f950f12d717b0c0032cc8f971a4d4e718f912046b4ce
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via python-requests/2.32.3

Release files / datasheet-1.2.3-py2.py3-none-any.whl

Download URL datasheet-1.2.3-py2.py3-none-any.whl
Size 13.3 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
d1f7a8ce420d2f2233d7341ca16db0be45706a416a763ddf5dc57a72c06eae6a
BLAKE2b-256 checksum
How to use checksums
ce7fb3839cd3253250e4600581f9b5b9e64e68062585fc54826d907d4a365fd9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via python-requests/2.32.3

Security for datasheet 1.2.3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page