It suits analysts, software developers and scientists who need machine-learning tools, model explanations or workflow automation.
Free plan Free trial From $10,000 a year WebMacAPISelf-hosted
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Best Data Science Analytics 2026
Facts read 20 Sep 2026 – 15 Oct 2026
Use data science analytics software to create models, investigate outputs and share conclusions using notebooks, dashboards, SQL workspaces or APIs. This list helps buyers compare access, deployment and model-building features across tools.
The standings: top 10
| Name | In a line | Record score | Price from | Try it free | Runs on | Facts read |
|---|---|---|---|---|---|---|
| 01 BigML | It suits analysts, software developers and scientists who need machine-learning tools, model explanations or workflow automation. | 5.7 | $10,000 a year | Free plan | Web, Mac, API, Self-hosted | 15 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 Weka | Weka may suit users who want free, open-source machine-learning software with a Java API or notebook workflow. | 5.6 | Free plan | Free plan | Windows, Mac, Linux, API | 15 Oct 2026 |
| 04 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 |
| 05 Deepnote | Deepnote suits data professionals and teams working with analysis, exploration, or machine learning who want collaborative notebooks, dashboards, or data apps. | 5.4 | $3,920 a month, billed yearly | Free plan | Web, Windows, Mac, Linux | 28 Sep 2026 |
| 06 Google Agent Search | 5.4 | Free plan | Free plan | Web, API | 3 Oct 2026 | |
| 07 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 |
| 08 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 |
| 09 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 |
| 10 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 |
The list is ordered by newest releases first, using figures the makers publish. Review plan types, entry pricing, trial availability, deployment approaches, supported platforms, AutoML, model deployment, GPU compute, SQL workspace and dashboarding.
02
Datalore
Datalore suits people and teams working with notebooks, databases and shared data reports.
WebLinuxAPI+1 Record5.7 Visit
03
Weka
Weka may suit users who want free, open-source machine-learning software with a Java API or notebook workflow.
WindowsMacLinux+2 Record5.6 Visit
04
KNIME Analytics Platform
The free desktop platform suits people building data workflows for personal use.
WindowsMacLinux Record5.5 Visit
05
Deepnote
Deepnote suits data professionals and teams working with analysis, exploration, or machine learning who want collaborative notebooks, dashboards, or data apps.
WebWindowsMac+4 Record5.4 Visit
7
JupyterLab
WebWindowsMac+3 Free plan Record5.3 Visit JupyterLab suits people working with notebooks and code in exploratory computing, including data science, scientific computing, computational journalism, and machine…
8
Google Colab
WebBrowser extensionAPI+1 Free plan Record5.2 Visit Colab may suit students, educators, data scientists, AI researchers, and researchers who want to work with Python notebooks in a browser.
9
Anaconda Notebooks
Web $15 a month Record5.1 Visit It suits learners and Python or data science users who want to work in JupyterLab from a browser.
10
Hex
WebAPI $36 a month Record5.1 Visit Community is listed for hobbyists and small projects, Professional for individuals, Team for companies collaborating on data, and Enterprise for organizations needing…
11
MATLAB Grader
WebWindowsMac+1 Free plan Record5.0 Visit MATLAB Grader suits instructors who create MATLAB coding assignments and want automated grading, feedback, and attempt analytics.
12
Apache Zeppelin
WebMacLinux+1 Free plan Record4.8 Visit Zeppelin suits people building interactive analytics notebooks with supported languages and data backends.
13
Obviously AI
WebAPI Free plan Record4.8 Visit It may suit individuals, hobbyists, and non-profits seeking predictive models from structured data, as the Free plan is described for those audiences.
15
Orange Data Mining
WindowsMacLinux Free plan Record4.7 Visit Orange may suit beginners, data scientists, and people learning data science in schools, universities, or professional training.
19
DataRobot
WebLinuxAPI+1 — Record4.4 Visit It suits enterprises developing and governing AI, especially organizations in regulated industries.
20
H2O.ai
iPhone & iPadWebAPI+1 Free plan Record4.4 Visit H2O.ai suits businesses, government entities, nonprofits, and academic institutions needing AI development and operations tools.
25
Azure Machine Learning
Web — Record2.3 Visit It suits teams running forecasting, time-series, evaluation, or automated machine-learning workflows on the web.
Before you choose
Start with access and cost
Begin by checking whether each product has a free or trial option, or requires payment. Compare the paid-from price where one is published, and review pricing on request before committing.
Align deployment with your environment
Review the deployment model and platform support.
Choose the working interface
Assess each product's main interface against your workflow. Query-focused analysis may fit a SQL workspace, while dashboarding presents results in a visual setting.
Check model operations
Identify the model-development features required, such as AutoML, deployment and GPU compute. These capabilities affect how you train, run and maintain models.
Review code access
Check whether a product provides open-source code. When inspecting or modifying code matters, verify its licence and deployment requirements before selecting a tool.
Questions
Are free plans available for these products?
Check each product's pricing details for a free-plan option.
Is there a way to test a product before purchase?
Review each product's pricing details for a free-trial option, including its length and terms.
What platforms are supported?
The products represented here run on web, API, Linux, self-hosted, macOS and Windows platforms.
Which capabilities are included in the comparison?
Compared attributes are free plan, paid-from pricing, deployment model, primary interface, AutoML, model deployment, GPU compute, SQL workspace and dashboarding.
Do any products provide open-source code?
Check each product for open-source code, and review the applicable licence before using or changing it.
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