Best Data Science Analytics in 2026

Datalore

Datalore suits data science teams that want shared notebooks, database connections and report publishing.

Google Colab

Colab is aimed at students, data scientists, AI researchers, educators, and researchers who work primarily with Python notebooks.

Apache Zeppelin

Zeppelin suits people who need an interactive notebook for analytics across multiple languages and data backends.

JupyterLab

JupyterLab suits people doing interactive, exploratory computing, including data science, scientific computing, computational journalism and machine learning.

Anaconda Notebooks

Anaconda Notebooks suits learners and Python or data science users who want a browser-based JupyterLab environment.

Deepnote suits data professionals and teams who want collaborative notebooks, scheduled analysis, or dashboards and apps built from their work.

Weka suits users who want free machine-learning software with Java and notebook access, extensible packages, and built-in documentation.

KNIME Analytics Platform

The desktop platform suits people who want to build data workflows visually, including those who need to combine visual steps with Python, R, or JavaScript.

Obviously AI

Obviously AI suits individuals, hobbyists, non-profits, and teams wanting no-code predictive modeling in a browser.

Hex

Hex describes Community as suited to hobbyists and small projects, Professional to individuals, Team to companies collaborating on data, and Enterprise to organizations needing advanced security, governance, and support.

DataRobot

DataRobot is aimed at global enterprises, including regulated organizations in manufacturing, public sector, life sciences, insurance, financial services, and other listed sectors.

MATLAB Grader suits instructors teaching MATLAB who need browser-based assignment authoring and automatic grading.

H2O.ai

H2O.ai targets businesses, government entities, nonprofits, and academic institutions.

Orange suits beginners and experienced data scientists who want visual analysis workflows, including learners and professional training settings.

Azure Machine Learning

Azure Machine Learning suits teams needing web-based forecasting, evaluation, automated learning or model deployment.