Review dataset quality
Connect
SPIRITT
KaggleKaggle data.
Build something with it.
SPIRITT works with Kaggle to turn versioned datasets, notebook outputs and model metadata into reproducible data products and operational research workflows.
What you can do with Kaggle.
Build from traceable data
Select datasets by metadata and license, download the intended version, and keep source provenance with every derived result.
Make notebook outputs useful
Track existing notebook runs, retrieve completed outputs, and feed validated results into dashboards and connected tools.
Keep research reproducible
Maintain dataset manifests, model variation records and competition input checks so later work starts from known inputs.
Works with your other apps.
Get started in three steps.
01
Open your workspace
Start a SPIRITT workspace for your Kaggle workflows and the connected tools that support them.
02
Connect Kaggle
Connect Kaggle with access to the records and resources your mission needs. Keep the account scope aligned with the work you delegate.
03
Delegate an outcome
Hand over a mission such as: build a dataset-backed explorer. SPIRITT builds the workflow, coordinates the connected tools, and follows through on the result.
Hand over a mission.
Choose a mission. Make it yours.
Put Kaggle to work.
Build something with it
Questions
Kaggle, with SPIRITT.
01What can I delegate with Kaggle and SPIRITT?+
Turn versioned datasets, notebook outputs and model metadata into reproducible data products and operational research workflows. SPIRITT connects those capabilities to working apps, coordinated tasks and a maintained record of outcomes.
02How do I connect Kaggle?+
Open a SPIRITT workspace, connect Kaggle, and give it access to the records or resources your mission needs. Describe the outcome, the source of truth and the actions you want it to own. Existing account access determines which operations are available.
03Which tools work well alongside Kaggle?+
Useful combinations include Google Sheets to review dataset quality, Supabase to serve derived data, GitHub to version analysis code. SPIRITT coordinates each separately connected app and keeps source references with the resulting work.
04Can it start Kaggle notebooks?+
The available actions discover notebooks, retrieve their source, check execution status and download outputs. SPIRITT can run appropriate downloaded code in its own environment; this connection does not expose a notebook push action.
05What does a competition submission require?+
The account must have accepted the competition rules. SPIRITT needs the competition ID and a valid uploaded file token before making the explicitly authorized final submission.
06Can it compare model quality from metadata?+
Model and variation metadata can support discovery, license review and setup. Quality comparisons require actual evaluation results, not an inference from a model listing.