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SciLifeLab Serve (beta) is a platform offering machine learning model serving, app hosting, 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.

ML model demo apps

Share web apps with a graphical user interface to allow users to make inferences with custom input.

Data visualisation and analysis apps

Share web apps with interactive visualisations, analyses, text, tables, etc based on publicly available data.

(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.

Machine Learning 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, etc.

Machine Learning 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, etc.

Data visualisation and analysis apps

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

Data visualisation and analysis apps

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

Machine Learning model serving

Deploy your trained models and obtain API endpoints for inference requests. We support deployment of models packaged as docker images.

Recent updates

Design tool for PbHiT sgRNA v…

This site provides a databases of knockout designs targeting the entire Plasmodium berghei protein …

Custom App

Updated: 25 Jun, 2025

CAPIM-APP

CAPIM is an integrative computational pipeline for identifying and characterizing catalytic sites i…

Streamlit App

Updated: 25 Jun, 2025

fraunhofer-datascience-toolkit

Suite of data science tools made by Fraunhofer ITMP

Custom App

Updated: 24 Jun, 2025

TRIDENT

Predicting chemical EC50 and EC10 ecotoxiticy values towards fish, aquatic invertebrate, and algae …

Custom App

Updated: 23 Jun, 2025

starbase

starbase is a database and toolkit for exploring of large transposable elements in Fungi

Custom App

Updated: 23 Jun, 2025

msp-tracker

This predictive model distinguishes between Relapsing-Remitting Multiple Sclerosis (RRMS) and Secon…

Custom App

Updated: 19 Jun, 2025

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Collections

Collections are groups of apps and models published on SciLifeLab Serve belonging to a research community, organization, or topic. Start a new collection?

Events

Jan

Stockholm/KTH: Building and sharing machine learning demo applications

Jan. 17, 2025 10:00 - 13:00 ,
KTH Library, room Salongen, floor 2. Osquars backe 31, Stockholm

Jan

Webinar: Publishing Shiny apps as a researcher

Jan. 16, 2025 10:00 - 11:00 ,
Zoom webinar

Nov

Stockholm: Packaging and sharing data science applications as Docker container images

Nov. 14, 2024 14:30 - 16:30 ,
Hilton Slussen, room Platon. Guldgränd 8, Stockholm.

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News

Mar. 14, 2025, 09:23

Expement tracking with MLFlow now available

You can now make use of MLFlow on SciLifeLab Serve to track your machine learning experiments. This feature was added in the latest release of our service.

SciLifeLab Serve strives …

Nov. 8, 2024, 07:35

Two new app types: Streamlit and Gradio

We released a new version of SciLifeLab Serve where we added two new dedicated app types: Gradio and Streamlit. These are two powerful open source frameworks for creating machine learning …

Aug. 15, 2024, 17:51

Move to a new cluster and improvements in Shiny apps

Over the past couple of days SciLifeLab Serve was moved to a new, larger cluster. All applications and user data have been migrated. There was no downtime associated with the …

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