@@ -3,8 +3,8 @@
 [![License](http://img.shields.io/:license-affero-blue.svg)](http://www.gnu.org/licenses/agpl-3.0.en.html)
 [![kmtricks](https://github.com/tlemane/kmtricks/workflows/kmtricks/badge.svg)](https://github.com/tlemane/kmtricks/actions/workflows/kmtricks.yml)
 [![release](https://img.shields.io/github/v/release/tlemane/kmtricks)](https://github.com/tlemane/kmtricks/releases)
-[![dockerhub](https://img.shields.io/docker/v/tlemane/kmtricks?label=tlemane/kmtricks&logo=docker)](https://hub.docker.com/r/tlemane/kmtricks/)
-[![anaconda](https://img.shields.io/conda/vn/tlemane/kmtricks?color=green&label=tlemane%2Fkmtricks&logo=anaconda)](https://anaconda.org/tlemane/kmtricks)
+[![dockerhub](https://img.shields.io/docker/v/tlemane/kmtricks?sort=semver)](https://hub.docker.com/r/tlemane/kmtricks/)
+[![anaconda](https://img.shields.io/conda/pn/bioconda/kmtricks?label=bioconda%7Cplatform&color=green)](https://anaconda.org/bioconda/kmtricks)
 
 kmtricks is a modular tool suite for counting kmers, and constructing Bloom filters or kmer matrices, for large collections of sequencing data.