The best 3DEXPERIENCE Enterprise Data Science alternatives

Gradient may suit individual ML/AI engineers, data scientists, researchers, teams, research groups, and startups building or serving machine learning…

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.

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 beginners, experts, analysts, data scientists, and teams that want visible Python workflows with local-first processing.

Colab may suit students, educators, data scientists, AI researchers, and researchers who want to work with Python notebooks in a browser.

It suits learners and Python or data science users who want to work in JupyterLab from a browser.

Community is listed for hobbyists and small projects, Professional for individuals, Team for companies collaborating on data, and Enterprise for…

It suits individual machine-learning and data-science developers who can self-host Docker environments.

It may suit teams operating GPU infrastructure for inference, training, fine-tuning, or development workspaces.

H2O.ai suits businesses, government entities, nonprofits, and academic institutions needing AI development and operations tools.

It suits enterprises developing and governing AI, especially organizations in regulated industries.