The Best Apache Zeppelin Alternatives in 2026

Hex is an AI analytics platform for exploring and analyzing data through conversation grounded in governed context.

Apache Spark is a unified engine for large-scale data processing and analytics.

Hex combines data notebooks, applications, and AI tools so teams can ask questions and build with organizational data.

ADAM analyzes genomics data with specialized file formats built on Apache Spark, Avro, and Parquet.

Zerve supports research and analytics workflows, with AI agents for data discovery, analysis, reports and production deployment.

TextQL organizes business logic into a data ontology for answering questions across company analytics.

Athina provides a collaborative development platform for building, testing, and monitoring AI features with a team.

Teams can use Dot as an AI data analyst to ask questions, generate SQL and charts, and produce reports through Slack or Teams.

Rivestack provides managed PostgreSQL with pgvector on NVMe for AI vector search.

Use Quadratic as an AI spreadsheet that connects to data and helps create explainable, shareable insights.

Aider LLM Leaderboards compares language models on code editing benchmarks.

This Hugging Face Space presents responses from AI companionship models for comparison.

Sourcetable combines spreadsheets and data analysis tools for creating financial models and working with datasets.

Prophet provides forecasting procedures in R and Python that data scientists can tune.

Open-source DMS (data management system) for powering data hubs and data portals.

Adala automates data labeling through an autonomous agent framework for organizing labeled datasets.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.

pytorch tabular provides a unified framework for deep learning models on tabular data.

PyTorch Frame provides a library for applying deep learning models to tabular data.

tsfresh automatically extracts relevant features from time series data.

Snorkel helps generate training data programmatically through weak supervision.

VeritasGraph combines knowledge graphs and GraphRAG for multi hop reasoning and attributed retrieval over user data.

Disco’s discovery engine finds statistically validated patterns in tabular data, including feature interactions and subgroup effects.

Modin scales Pandas data workflows by changing a single line of code in a project.