Kedro
5.8#30 in data version control toolsFree planFree planLinuxSelf-hosted
VisitKedro vs Weights & Biases
Weights & Biases
8.3#1 in ml experiment tracking softwareFrom $60 a monthFree planAndroidiOSWebAPI
VisitWhat both publish
| Fact | Kedro | Weights & Biases |
|---|---|---|
| Deployment | Kedro documents single-machine and distributed deployment, with targets including Prefect, Kubeflow, AWS Batch, SageMaker, Databricks, and Dask. | W&B offers multi-tenant SaaS, isolated dedicated cloud and customer-managed cloud or on-premises deployments. |
| Integrations | Listed integrations include Amazon SageMaker, Apache Airflow, Apache Spark, Azure ML, Dask, Databricks, Docker, Jupyter Notebook, Kubeflow, MLflow, and VertexAI. | W&B is designed to integrate with customers' ML stacks and tools and offers managed or self-managed deployment choices. |
| Support | The project points users to its community on Slack for technical questions and provides documentation and tutorials. | Support tiers are Standard, Standard Plus and Premium; Premium adds 24/7 coverage, faster response targets, roadmap sessions and engineering access. |
Kedro plans
- KedroFree
Weights & Biases plans
- FreeFree
- PersonalFree
- Pro$60 a month
- Advanced EnterprisePriced on request
- EnterprisePriced on request
Pick Kedro if…
It is aimed at data scientists, machine-learning engineers, data engineers, and teams building data pipelines. Self-hosted Linux users who prefer Python-based pipeline authoring can install it with pip or conda.
Pick Weights & Biases if…
It suits AI developers working on model training, fine-tuning, AI applications, or production monitoring. The free tier may fit smaller projects, while larger teams should note the stated Pro-to-Enterprise transition guideline.