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 deployment of models packaged as Docker images.
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
starbase is a database and toolkit for exploring of large transposable elements in Fungi
enrichedmassspec - a shiny app to visualize differentially expressed proteins (DEPs) and carry out …
Dashboard for the R4A Expertise KG
This Shiny app provides a user-friendly interface for performing quick analysis of Olink data using…
Hosting page for AntiMicRobial KG and prediction models.
This is for exploring blood phenotypes in plasmogem screen data.
Collections
Collections are groups of apps and models published on SciLifeLab Serve belonging to a research community, organization, or topic. Start a new collection?
