01
IOMETE
The sovereign data platform for the AI era
IOMETE is a sovereign data lakehouse platform designed for the AI era. It operates as a self-hosted solution within trusted environments to ensure control.
92.0
Open-source data science platforms
10 ranked, with a plain verdict on every entry.
IOMETE takes the top spot on this list: it eliminates vendor lock-in by remaining customer-controlled. Hopsworks is built for teams building production ML systems, and offers sub-millisecond feature retrieval powered by RonDB. Knime Analytics Platform allows users to interleave visual workflows with code.
RANKENTRYSCORETRENDFROM
2
HopsworksHopsworks is an AI lakehouse platform that unifies the full machine learning lifecycle90.0NEW–
3
Knime Analytics PlatformKNIME Analytics Platform is an intuitive tool for data work90.0NEWFree (open-source desktop) or Custom (Cloud)
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The ranking, in detail
02
Hopsworks
The AI lakehouse for real-time ML
Hopsworks is an AI lakehouse platform that unifies the full machine learning lifecycle. It enables teams to build, deploy, and maintain AI systems at any scale.
90.0
03
Knime Analytics Platform
Open-source visual workflow platform for data science and analytics
KNIME Analytics Platform is an intuitive tool for data work. It supports ETL, analytics, predictive AI and agent building.
90.0
04
Polyaxon
AI-first infrastructure for Kubernetes
Polyaxon allows teams to schedule, track, and govern everything from GPU training to agent sessions in one place.
90.0
05
Flyte
The durable AI runtime for open source orchestration
Flyte is a durable AI runtime platform designed for orchestration. It enables the execution of training, serving, and agent workloads with automatic recovery from failures.
88.0
06
Earthmover
The science data cloud
Earthmover is a cloud-native platform for scientific data. It provides storage, governance, and compute capabilities.
86.0
07
MLflow AI Platform
Deliver high-quality AI, fast
MLflow AI Platform is the leading open source AI engineering platform. It enables teams to debug, evaluate, and monitor LLM applications and models.
86.0
08
Jupyter
Open standards for interactive computing across all programming languages
Jupyter provides free software and open standards for interactive computing across all programming languages. JupyterLab serves as a next-generation web-based interface for notebooks, code, and data.
82.0
09
Kedro
A toolbox for production-ready data pipelines
Kedro is an open-source Python framework hosted by the Linux Foundation. It uses software engineering best practices to help build production-ready data engineering and data science code.
82.0
10
HPCC Systems
High performance innovative data lake management
HPCC Systems is an open source platform for high-speed data engineering and big data implementations. It provides end-to-end management for data lakes using a lightweight core architecture.
80.0
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Positions 1, 2 and 3 are available to buy for twelve months.
Frequently asked questions
Who are these open-source data science platforms built for?
IOMETE says it is built for enterprise data teams requiring full data sovereignty, and Hopsworks for teams building production ML systems. Polyaxon says it is built for ML engineering teams requiring full infrastructure control.
What should a buyer check before signing up?
IOMETE states that the product requires significant engineering effort for customisation and deployment. Those are the limits each product publishes itself, not a full account of any plan.