Home | SciLifeLab Serve (beta)

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

Natural Nations

CitizenScience Project

Shiny App

Updated: 13 Oct, 2025

Points2Regions

TissUUmaps App

Updated: 13 Oct, 2025

Ames Mutagenicity Prediction

Predicts Ames Mutagenicity for a chemical structure using an SVM model with Signatures features via…

Custom App

Updated: 13 Oct, 2025

Shiny-Maftools

An web application for MAF format cancer mutation profiles analysis and visualizations.

ShinyProxy App

Updated: 08 Oct, 2025

Metagenomics Coverage Calcula…

It helps to calculate sequencing depth required to get microbial genomes from metagenomics

ShinyProxy App

Updated: 19 Sep, 2025

Multifuntionality Potential a…

The Multifunctional Potential and Cost Matrix provides an integrated assessment of the benefits and…

Streamlit App

Updated: 19 Sep, 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

Nov

Uppsala: Automating life science & biomedical tasks with LLMs and beyond: practical guide

Nov. 13, 2025 13:30 - 16:00 ,
room K1, UKK, Uppsala

Nov

Uppsala/SciLifeLab: AI Agents in Life Science

Nov. 3, 2025 10:00 - 15:00 ,
Trippelrummet, SciLifeLab, Uppsala

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

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News

Oct. 15, 2025, 17:36

Depictio now available in Serve

Depictio has been integrated into SciLifeLab Serve for some time, but with the latest Serve release (v3.4.0), now live, users can create Depictio apps directly from their project view. More …

Oct. 13, 2025, 16:08

Serve Platform Surges Past 100 Apps, Empowering Life Science

SciLifeLab Serve is growing in content and attracting recognition as a key platform for publishing and sharing advanced machine learning models and apps – data science application services. To date, …

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 …

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