Monday, October 26, 2026 4,350 lists 78,101 records on file
List your app or device

  1. Home
  2. Analytics & Data
  3. Data Science Platforms
Ranked on the record · 32 apps

Best Data Science Platforms 2026

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.

01

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

Free plan Open source From $8 a month WebWindowsMacLinuxBrowser extensionAPI+1
02

Datalore

Datalore suits people and teams working with notebooks, databases and shared data reports.

WebLinuxAPI+1
Record5.7 Visit
03

KNIME Analytics Platform

The free desktop platform suits people building data workflows for personal use.

WindowsMacLinux
Record5.6 Visit
04

Deepnote

Deepnote suits data professionals and teams working with analysis, exploration, or machine learning who want collaborative notebooks, dashboards, or data apps.

WebWindowsMac+4
Record5.5 Visit
05

MLJAR Studio

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

WindowsMacLinux+1
Record5.4 Visit
6
JupyterLab

JupyterLab suits people working with notebooks and code in exploratory computing, including data science, scientific computing, computational journalism, and machine…

WebWindowsMac+3 Free plan Record5.3 Visit
7
Anaconda Notebooks

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

Web $15 a month Record5.2 Visit
8
Google Colab

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

WebBrowser extensionAPI+1 Free plan Record5.2 Visit
9
Hex

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

WebAPI $36 a month Record5.2 Visit
10
ML Workspace

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

WebWindowsMac+2 Free plan Record5.0 Visit
11 WindowsMacLinux Free plan Record4.9 Visit
12
Saturn Cloud

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

WebAPISelf-hosted $0.09 usage-based Record4.5 Visit
13
DataRobot

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

WebLinuxAPI+1 — Record4.4 Visit
14
H2O.ai

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

iPhone & iPadWebAPI+1 Free plan Record4.4 Visit
15 WebSelf-hosted Free plan Record4.3 Visit
16 Web A$180 a year Record3.8 Visit
17 Web $0.06 usage-based Record3.7 Visit
18 WebAPISelf-hosted — Record3.7 Visit
19 Web — Record3.7 Visit
20 APISelf-hosted — Record3.7 Visit
22 WindowsMacLinux Free plan Record3.2 Visit
23 WindowsMacLinux Free plan Record3.2 Visit
24 WebAPI Free plan Record3.0 Visit
25 Web Free plan Record2.8 Visit