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
**SNRApp** is an interactive web app to calculate the Signal-to-Noise Ratio (SNR) from spatial omic…
A converter of 2D plant anatomical data into finite element mesh (GEO) format.
A shiny application to process OLINK data. Outlier detection - filtering - statistical analysis - v…
Visualizations of the results from an interaction screen of 215 G protein-coupled receptors (GPCRs)…
This site provides a databases of knockout designs targeting the entire Plasmodium berghei protein …
Collections
Collections are groups of apps and models published on SciLifeLab Serve belonging to a research community, organization, or topic. Start a new collection?
