diff --git a/README.md b/README.md
index 1aacbb1..456a72c 100644
--- a/README.md
+++ b/README.md
@@ -10,6 +10,9 @@
 
 [![Documentation Status](https://readthedocs.org/projects/vitabel/badge/?version=latest)](https://vitabel.readthedocs.io/en/latest/index.html)
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/UniGrazMath/vitabel/main?urlpath=%2Flab%2Ftree%2Fexamples)
+![PyPI](https://img.shields.io/pypi/v/vitabel)
+[![Anaconda-Server Badge](https://anaconda.org/conda-forge/vitabel/badges/version.svg)](https://anaconda.org/conda-forge/vitabel)
+
 
 In a nutshell, the vitabel package enables interactive loading, processing, and annotation of vital medical time-series data (e.g., from defibrillators, anesthesia records, or critical care monitors) within a Jupyter notebook. By structuring and labeling data efficiently and intuitively, it paves the way for AI-driven analysis.
 
@@ -29,6 +32,11 @@ The latest stable release of `vitabel` is distributed via PyPI and can be instal
 $ pip install vitabel
 ```
 
+Alternatively, if you prefer using **Conda**, you can install `vitabel` from the `conda-forge` channel:
+```sh
+$ conda install -c conda-forge vitabel
+```
+
 The latest development version can be installed [from the `main` branch on
 GitHub](https://github.com/UniGrazMath/vitabel) by running
 ```sh