Gradient may suit individual ML/AI engineers, data scientists, researchers, teams, research groups, and startups building or serving machine learning models.
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Best Data Science Platforms 2026
Facts read 20 Sep 2026 – 15 Oct 2026
Paperspace Gradient leads this list of 32 (record score 6.0, free plan). Datalore is next (record score 5.7, free plan), and KNIME Analytics Platform is the next highest-placed with a free plan (record score 5.5).
Choosing a data science platform means weighing the environment for working with data alongside tools for developing and delivering models. Compare deployment options, hosted notebooks, and model deployment, then consider supported languages, version control, and workflow automation for your working style. Free-plan availability and paid-from pricing give you additional points for comparing access and cost. NETVIBES, Siemens Building X, and Paperspace Gradient are among the entries. Start with the languages and development setup you need, then compare how each platform’s listed deployment and workflow features align with your projects.
The standings: top 10
| Name | In a line | Record score | Price from | Try it free | Runs on | Facts read |
|---|---|---|---|---|---|---|
| 01 Paperspace Gradient | Gradient may suit individual ML/AI engineers, data scientists, researchers, teams, research groups, and startups building or serving machine learning models. | 6.0 | $8 a month | Free plan | Web, Windows, Mac, Linux | 14 Oct 2026 |
| 02 Datalore | Datalore suits people and teams working with notebooks, databases and shared data reports. | 5.7 | $29.17 a month, billed yearly | Free plan | Web, Linux, API, Self-hosted | 15 Oct 2026 |
| 03 KNIME Analytics Platform | The free desktop platform suits people building data workflows for personal use. | 5.5 | $19 a month | Free plan | Windows, Mac, Linux | 29 Sep 2026 |
| 04 Deepnote | Deepnote suits data professionals and teams working with analysis, exploration, or machine learning who want collaborative notebooks, dashboards, or data apps. | 5.3 | $3,920 a month, billed yearly | Free plan | Web, Windows, Mac, Linux | 28 Sep 2026 |
| 05 JupyterLab | JupyterLab suits people working with notebooks and code in exploratory computing, including data science, scientific computing, computational journalism, and machine… | 5.3 | Free plan | Free plan | Web, Windows, Mac, Linux | 15 Oct 2026 |
| 06 MLJAR Studio | It suits beginners, experts, analysts, data scientists, and teams that want visible Python workflows with local-first processing. | 5.3 | $20 a month | Free plan | Windows, Mac, Linux, Self-hosted | 3 Oct 2026 |
| 07 Google Colab | Colab may suit students, educators, data scientists, AI researchers, and researchers who want to work with Python notebooks in a browser. | 5.2 | Free plan | Free plan | Web, Browser extension, API, Self-hosted | 15 Oct 2026 |
| 08 Anaconda Notebooks | It suits learners and Python or data science users who want to work in JupyterLab from a browser. | 5.1 | $15 a month | Free plan | Web | 28 Sep 2026 |
| 09 Hex | Community is listed for hobbyists and small projects, Professional for individuals, Team for companies collaborating on data, and Enterprise for organizations needing… | 5.1 | $36 a month | Free plan | Web, API | 29 Sep 2026 |
| 10 ML Workspace | It suits individual machine-learning and data-science developers who can self-host Docker environments. | 5.0 | Free plan | Free plan | Web, Windows, Mac, Linux | 5 Oct 2026 |
Datalore
Datalore suits people and teams working with notebooks, databases and shared data reports.
WebLinuxAPI+1KNIME Analytics Platform
The free desktop platform suits people building data workflows for personal use.
WindowsMacLinuxDeepnote
Deepnote suits data professionals and teams working with analysis, exploration, or machine learning who want collaborative notebooks, dashboards, or data apps.
WebWindowsMac+4JupyterLab
JupyterLab suits people working with notebooks and code in exploratory computing, including data science, scientific computing, computational journalism, and machine…
WebWindowsMac+3It 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 organizations needing…
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.