Pick your compute, launch Jupyter or RStudio, and start analysing — CGLabs puts high-performance computing at researchers’ fingertips, with no infrastructure to set up.
A managed computational environment for the CGIAR research community.
CGLabs gives research teams a ready-to-use environment for collaborative analysis with R and Python, built on the Jupyter ecosystem (JupyterLab & JupyterHub). Datasets are pre-loaded for reliable performance in low-bandwidth settings, and scripts push and pull straight from GitHub — so teams work together without setting up or maintaining any infrastructure.
Every user gets a private, persistent workspace that stays exactly as they left it between sessions.
Collaborate in shared spaces — datasets, notebooks and results are visible across a team.
Choose the CPU and memory you need at launch, and scale up or down per experiment.
Curated R and Python images with the right libraries pre-installed, so work starts in seconds.
Interactive sessions for exploratory and reproducible workflows, ready the moment you log in.
Sessions release resources when idle — maximum performance when you need it, zero waste when you don’t.
At launch you select one of three profiles, each available on a stable image or the latest update. Environments come pre-loaded with domain toolkits built with the CGIAR community.
A geospatial analysis environment on the Jupyter ecosystem, giving users industry-standard tools such as GDAL for raster and vector data processing and Open Data Cube for cataloguing and analysing large Earth-observation datasets.
Crop models exposed as ready-to-call services — DSSAT, QUEFTS, ECOCROP and WOFOST — so modelling fits into any analytics pipeline without dedicated setup.
Industry-standard data-science stacks with seamless GitHub push/pull, so code and collaboration follow the workflows researchers already know.
Access is over HTTPS with Auth0 sign-in. If you already have a CGIAR account, you’re in immediately.
Log in or sign up through Auth0.
CGIAR account → instant accessOther accounts → approved by the SCiO CGLabs Support TeamSelect a compute profile and environment, launch Jupyter or RStudio, and start scripting.
CGLabs runs on dedicated, on-premise research infrastructure shared across the community. Pooling capacity this way delivers the performance of a large cloud deployment — without its price tag or its surprises.
CGLabs is funded by the Sustainable Farming Program and the Digital Transformation Accelerator of CGIAR.
CGLabs builds on foundations established by previous CGIAR Science Programs — the Platform for Big Data in Agriculture and the Excellence in Agronomy Initiative.
For access requests, onboarding, or support, email support@scio.systems, where tickets are handled. For general information about CGLabs, drop us a line:
