01
Deepnote
The open data workspace built for humans and agents
Deepnote is a collaborative analytics and data science notebook platform. It enables teams to explore data, automate insights, and build data applications.
94.0
Best data notebooks
10 ranked, with a plain verdict on every entry.
Best data notebooks: Top 10 Ranked. Deepnote ranks first, with a Lister Score of 94.0.
Deepnote takes the top spot on this list: it offers over one hundred integrations with existing data stacks. Meltano is built for Data engineers, and models the data stack as code with Git-based governance. Databricks serves Data and AI teams, and builds reliable ETL pipelines for batch and streaming with Lakeflow.RANKENTRYSCORETRENDFROM
2
MeltanoMeltano is an open-source platform for data integration that powers analytics and AI92.0NEW–
MeltanoMeltano is an open-source platform for data integration that powers analytics and AI92.0NEW–5
AWS SageMakerEnsures enterprise security with built-in governance throughout the entire data and AI lifecycle86.0NEWPay-as-you-go (training from ~£0.29/hour for ml.m5.large)
AWS SageMakerEnsures enterprise security with built-in governance throughout the entire data and AI lifecycle86.0NEWPay-as-you-go (training from ~£0.29/hour for ml.m5.large)9
QuboleLowers cloud data lake costs by over fifty percent through workload-aware autoscaling82.0NEW–
QuboleLowers cloud data lake costs by over fifty percent through workload-aware autoscaling82.0NEW–CURATED · UPDATED REGULARLY
The ranking, in detail
02
Meltano
The open platform for getting data into your warehouse and beyond
Meltano is an open-source platform for data integration that powers analytics and AI. It allows teams to own their pipelines in code they control from day one.
92.0
03
Databricks
The lakehouse platform for data and AI
Databricks is a unified data and AI platform running analytical and operational workloads on one open foundation. It enables organisations to build BI and AI applications while streamlining data processes without adding complexity.
88.0
04
Tower
Effortless data infrastructure for your product
Tower is a fully-managed data backend that powers customer-facing features. It allows teams to deploy, run, and orchestrate Pythonic apps.
88.0
05
AWS SageMaker
Fully managed service to build, train and deploy ML models
The next generation of Amazon SageMaker serves as the centre for all data, analytics, and AI. It enables users to build, train, and deploy machine learning models with fully managed infrastructure.
86.0
06
Hex
The analytics platform for humans and agents
Hex is an analytics platform designed for both humans and agents. It provides conversational analytics and context management tools to help teams derive insights.
84.0
07
Marimo
The notebook reinvented for modern data workflows
Marimo is a next-generation Python notebook that feels like an AI-native reactive environment. It stores notebooks as Git-friendly reproducible Python code.
84.0
08
Jupyter
Open standards for interactive computing across all programming languages
Jupyter is a non-profit project offering free software and open standards for interactive computing. It supports data science and scientific workflows across more than forty programming languages.
82.0
09
Qubole
The cost efficient data lake platform
Qubole is an open and secure data lake platform for machine learning and analytics. It provides end-to-end services to reduce the time required for data pipelines on any cloud.
82.0
10
Observable
Lightweight notebooks for thinking, exploring, and explaining with code.
Observable is a computational, collaborative, and agentic document platform where users answer questions with data.
78.0
Not on this ranking?
Positions 1, 2 and 3 are available to buy for twelve months.
Frequently asked questions
What is the best data notebooks?
Deepnote ranks first on Lister. Deepnote is a collaborative analytics and data science notebook platform. It enables teams to explore data, automate insights, and build data applications.
What are the top 10 data notebooks?
1. Deepnote; 2. Meltano; 3. Databricks; 4. Tower; 5. AWS SageMaker; 6. Hex; 7. Marimo; 8. Jupyter; 9. Qubole; 10. Observable.
Are there free options for data notebooks?
No free option is confirmed in the recorded pricing for this ranking. Check each provider's pricing page for current plans and trials.
What do the top four say they are built for?
Deepnote says it is built for Data teams requiring collaborative analysis and AI integration, and Meltano for Data engineers. Databricks says it is built for Data and AI teams, and Tower for product teams.