From 06cc24eba9d6b06c79d501a90dbaf25aad383fa8 Mon Sep 17 00:00:00 2001
From: mfarragher <33595938+mfarragher@users.noreply.github.com>
Date: Mon, 13 Sep 2021 20:01:47 +0100
Subject: [PATCH] Badges

---
 README.md | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/README.md b/README.md
index cf8d538..f1d07ef 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,6 @@
+[![PyPI version](https://badge.fury.io/py/obsidiantools.svg)](https://badge.fury.io/py/obsidiantools) [![PyPI version](https://img.shields.io/pypi/pyversions/obsidiantools.svg)](https://badge.fury.io/py/obsidiantools)
+[![Licence](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://github.com/mfarragher/obsidiantools/blob/main/LICENSE) [![Documentation](https://img.shields.io/badge/docs-obsidiantools--demo-orange)](https://github.com/mfarragher/obsidiantools-demo) [![codecov](https://codecov.io/gh/mfarragher/obsidiantools/branch/main/graph/badge.svg)](https://codecov.io/gh/mfarragher/obsidiantools)
+
 # obsidiantools 🪨⚒️
 **obsidiantools** is a Python package for getting structured metadata about your [Obsidian.md notes](https://obsidian.md/) and analysing your vault.  Complement your Obsidian workflows by getting metrics and detail about all your notes in one place through the widely-used Python data stack.
 
@@ -30,6 +33,10 @@ This is how **`obsidiantools`** can complement your workflows for note-taking:
     - Check which notes are isolated (`vault.isolated_notes`)
     - Check which notes do not exist as files yet (`vault.nonexistent_notes`)
 
+Check out the functionality in the demo repo.  Launch the '10 minutes' demo in a virtual machine via Binder:
+
+[![Documentation](https://img.shields.io/badge/docs-obsidiantools--demo-orange)](https://github.com/mfarragher/obsidiantools-demo) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/mfarragher/obsidiantools-demo/HEAD?filepath=obsidiantools%20in%2010%20minutes.ipynb)
+
 There are other API features that try to mirror the Obsidian.md app, for your convenience when working with Python, but they are no substitute for the interactivity of the app!
 
 The text from vault notes goes through this process: markdown → HTML → ASCII plaintext.  The functions for text processing are in the `md_utils` module so they can be used to get text, e.g. for use in NLP analysis.