SciLifeLab Serve (beta) is a platform offering machine learning model serving, app hosting, web-based integrated development environments, and other tools to life science researchers affiliated with a Swedish research institute.
Machine Learning model serving

Deploy your trained models and obtain API endpoints for inference requests. We support TorchServe, TensorFlow Serving, MLFlow.

ML model demo apps

Share web apps with a graphical user interface to allow users to make inferences with custom input. We support apps built using Gradio, Streamlit, Flask, FastAPI, etc.

Data and analysis apps

Share web apps with interactive visualisations, analyses, text, tables, etc. We support apps built using R Shiny, Plotly Dash, etc.

Recent updates


Shiny app for displaying Dictyostelium discoideum RNA-seq and proteomics data, from the publication…
This is a test deployment of the vector oligo search
Comparing 4 types of the most common reference populations for child sex- and age-adjusted Body Mas…
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This model predicts the inter…
ALLIUM (ALL subtype Identific…
Predicts Ames Mutagenicity fo…
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Collections are groups of apps and models published on SciLifeLab Serve belonging to a research community, organization, or topic. Start a new collection?