_an interactive explorer for single-cell transcriptomics data_ Whether you need to visualize one thousand cells or one million, cellxgene helps you gain insight into your single-cell data. ## features #### flexible selections, coloring, and differential expression of your selected sets of cells #### single-gene analyses (e.g. expression analysis) ## quick start To install cellxgene you need Python 3.6+. We recommend [installing cellxgene into a conda or virtual environment.](/faq.html#how-do-i-create-a-python-environment-for-cellxgene) Install the package. ``` bash pip install cellxgene ``` Download an example [anndata](https://anndata.readthedocs.io/en/latest/) file ``` bash curl -o pbmc3k.h5ad https://raw.githubusercontent.com/chanzuckerberg/cellxgene/master/example-dataset/pbmc3k.h5ad ``` Launch cellxgene ``` bash cellxgene launch pbmc3k.h5ad --open ``` To explore more datasets already formatted for cellxgene, see [Data](data) or visit [Getting Started](getting-started) to learn more about formatting your own data for cellxgene. ## getting help We'd love to hear from you! For questions, suggestions, or accolades, [join the `#cellxgene-users` channel on the CZI Science Slack](https://join-cellxgene-users.herokuapp.com/) and say "hi!". For any errors, [report bugs on Github](https://github.com/chanzuckerberg/cellxgene/issues).