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The best Apache Zeppelin alternatives
The rest of Best Data Science Analytics, in this site's order: each with what it costs, where it runs and its record score.
It suits analysts, software developers and scientists who need machine-learning tools, model explanations or workflow automation.
Datalore suits people and teams working with notebooks, databases and shared data reports.
The free desktop platform suits people building data workflows for personal use.
Weka may suit users who want free, open-source machine-learning software with a Java API or notebook workflow.
Deepnote suits data professionals and teams working with analysis, exploration, or machine learning who want collaborative notebooks, dashboards, or…
JupyterLab suits people working with notebooks and code in exploratory computing, including data science, scientific computing, computational…
It suits learners and Python or data science users who want to work in JupyterLab from a browser.
Colab may suit students, educators, data scientists, AI researchers, and researchers who want to work with Python notebooks in a browser.
Community is listed for hobbyists and small projects, Professional for individuals, Team for companies collaborating on data, and Enterprise for…
MATLAB Grader suits instructors who create MATLAB coding assignments and want automated grading, feedback, and attempt analytics.
It may suit individuals, hobbyists, and non-profits seeking predictive models from structured data, as the Free plan is described for those audiences.
Orange may suit beginners, data scientists, and people learning data science in schools, universities, or professional training.
It suits enterprises developing and governing AI, especially organizations in regulated industries.
H2O.ai suits businesses, government entities, nonprofits, and academic institutions needing AI development and operations tools.
It suits teams running forecasting, time-series, evaluation, or automated machine-learning workflows on the web.