BigML is a machine-learning platform for classification, regression, time-series forecasting, cluster analysis, anomaly detection, association…
Best Data Science Analytics in 2026
Data science analytics platforms cover tasks including automated machine learning, model deployment, GPU computing, SQL workspaces and dashboards. They can help you build, inspect and share analytical models through different interfaces. Compare the primary interface, deployment model and capabilities you need. These products are offered through web, API, Linux, self-hosted, macOS and Windows setups; check whether…
JupyterLab is a free, web-based interactive environment for working with notebooks, code, and data.
Datalore is a collaborative data science platform for exploring, analyzing, visualizing, and sharing data.
- 4

Google Colab
Google Colab lets users write and execute Python in a browser without configuration, with access to GPUs and notebook sharing.
Free planWebAPIExtensionSelf-hosted7.6Free plan - 5
Weka
Weka is open-source machine learning software released under the GNU General Public License.
Free planOpen sourceAPILinuxmacOSSelf-hosted7.5Free plan - 6
Deepnote
Deepnote is an AI workspace for data analysis, exploration, and machine learning.
Free planWebAPIExtensionLinux7.3From $3,920 a month - 7

KNIME Analytics Platform
KNIME Analytics Platform is a free, open-source application from KNIME Analytics Platform, founded in 2006 and headquartered in Zurich, Switzerland.
Free planLinuxmacOSWindows7.1From $19 a month - 8

Obviously AI
Obviously AI is a web-based, no-code tool for turning structured data into predictive models.
Free planWebAPI7.1Free plan - 9

Anaconda Notebooks
Anaconda Notebooks puts JupyterLab in a cloud workspace for writing, editing, and running Python through an Anaconda Cloud account.
Free planWeb7.0From $15 a month - 10

Hex
Hex is a hosted data platform for exploring information, asking questions, and building data applications.
Free planWebAPI7.0From $36 a month - 11
MATLAB Grader
MATLAB Grader lets instructors create interactive MATLAB coding assignments and automatically grade submissions for formative assessments, quizzes, and exams.
Free planWebLinuxmacOSWindows7.0Free plan - 12

Apache Zeppelin
Apache Zeppelin is a web-based notebook for interactive data analytics and collaborative documents.
Free planWebLinuxmacOSSelf-hosted6.9Free plan - 13

Kaggle Notebooks
Kaggle Notebooks is a free cloud environment for reproducible, collaborative machine learning analysis.
Free planWebAPI6.9Free plan - 14
Google Agent Search
WebAPI6.7 - 15

Mathematica
Mathematica is a technical computing system for computation, programming, visualization, and related workflows.
WebLinuxmacOSWindows6.5 - 16
Orange Data Mining
Orange Data Mining is free, open-source software for machine learning, data mining, and data visualization.
Free planLinuxmacOSWindows6.3Free plan - 17

H2O.ai
H2O.ai offers software for generative and predictive AI, machine learning operations and AI app development.
iOSWebAPISelf-hosted6.2 - 18

DataRobot
DataRobot is a platform for developing, delivering, and governing agentic, generative, and predictive AI solutions.
WebAPILinuxSelf-hosted6.1 - 19
Posit Package Manager
WebAPILinuxSelf-hosted6.1 - 20

Akkio
Akkio is an AI platform that automates campaign workflows for media agencies and data providers.
WebAPISelf-hosted5.9 - 21

SAS Advanced Analytics
SAS Advanced Analytics refers to SAS Viya, a cloud-native data and AI platform for connecting data, building and governing models, and operationalizing decisions.
APISelf-hosted5.8 - 22

Azure Machine Learning
Azure Machine Learning is a web-based service for machine-learning workflows.
Web5.3 - 23
Altair AI Studio
LinuxmacOSWindows5.0 - 24

Databricks Data Intelligence Platform
Databricks Data Intelligence Platform is a web platform listing SQL analytics, ACID transactions, streaming ingestion, and a governance catalog.
Web5.0 - 255.0
Choosing well
Check platform access
Across this category, products support web, API, Linux, self-hosted, macOS and Windows environments. Match the platform and deployment model to your workflow.
If you work from a Xiaomi, Redmi or POCO phone or tablet, check for an Android app or a browser interface that supports your tasks.
Compare plans and trials
Some entries, including Akkio, Altair AI Studio, BigML and Databricks Data Intelligence Platform, offer a free plan. Apache Zeppelin is free and open source.
Listed trial lengths range from three to thirty days: BigML lists three days, Akkio seven, Databricks fourteen, and Alteryx Machine Learning and DataRobot thirty.
Match the working interface
Choose an interface that fits your work, whether that is a web workspace, API access, SQL workspace or another setup. Dashboarding can matter when results need to be shared.
Check AutoML, model deployment and GPU compute support against your project before signing up.
Review deployment needs
Deployment model affects where analytical work runs and how it connects to your systems. Compare hosted web services with API or self-hosted options listed for this category.
Read the product documentation and licence terms when open-source code, local control or integration requirements matter.
Questions people ask
Is there an Android app for these analytics tools?
Android support is not included in the listed platform facts. Check the product page for an Android app or use a compatible mobile browser where available.
Which tools offer a free plan?
Free plans are listed for Akkio, Altair AI Studio, BigML, Databricks Data Intelligence Platform and Apache Zeppelin. Apache Zeppelin is open source.
Can I try a paid analytics tool before buying?
The listed trials last seven days for Akkio, three days for BigML, fourteen days for Databricks, and thirty days for Alteryx Machine Learning and DataRobot.
What capabilities should I compare?
Look across AutoML, model deployment, GPU compute, SQL workspace, dashboarding, deployment model and primary interface.
Are open-source options available?
Apache Zeppelin is listed as a free option with open-source code. Check the licence and deployment requirements before using it.

