Alternatives to Datastoria

SQLBot turns plain-language questions into SQL, answers and charts over your own MySQL or PostgreSQL database — open source and self-hosted.

GPT-Vis turns LLM answers into charts with an AI-native vis syntax and streaming render.

Chat2DB turns plain English into runnable SQL across 40+ databases — with AI text-to-SQL that keeps your rows on your own machine.

PandasAI turns plain-English questions into SQL, pandas code, and charts with proactive anomaly alerts

DataLab turns plain-English questions into runnable SQL, Python and R inside an AI data notebook you can review and share.

Deepnote is a collaborative cloud notebook for Python and SQL where humans and AI agents build analyses, dashboards, and data apps together.

Observable is a reactive JavaScript notebook for building interactive data visualizations and shareable data apps in the browser.

Hex is an AI analytics workspace where a conversational agent and a SQL/Python notebook share one governed context layer.

GetDot is an AI data analyst that answers plain-English questions in Slack, Teams, or email with the number, the chart, and the SQL behind

Open-source agentic AI data assistant that writes SQL, runs code in a sandbox, and chats with your self-hosted databases

Prompt-to-dashboard AI that builds live, governed BI dashboards from a written brief

marimo is a reactive Python notebook stored as Git-friendly .py files that runs as a script, app, or SQL workspace

Open-source GenBI engine that gives AI agents a governed context layer for SQL and dashboards

Text2SQL.ai converts plain-English questions into dialect-correct SQL for 10+ databases, with a schema-aware assistant and a local-execution desktop app.

AI-native master data management that turns messy CRM and ERP records into trusted golden records in real time.

Livedocs is an AI data notebook where reactive cells re-run themselves and plain-English prompts write the SQL and Python.

Open-source, MIT-licensed framework that runs LLM-driven generate-evaluate-rewrite loops for quantitative factor mining and ML experimentation.

AutoGluon: open-source AutoML that trains tabular, time series, and multimodal ML models in 3 lines of Python.

Julius AI turns plain-English questions about your CSV, Excel, or Postgres data into charts, statistical tests, and regression models.

Healthcare price transparency data turns into negotiable rate benchmarks, provider rate scores, and traceable answers for US payer and

Pecan AI turns plain-English questions into customer churn, LTV, and conversion predictions that land in your CRM.

Definite turns plain-English questions into self-hosted data apps backed by 500+ connectors and an AI analyst named Fi.

Dashboard-as-Code turns a YAML or TSX file in your repo into an interactive dashboard served by one Go binary.

Pandada AI turns plain-English questions about your files into charts and shareable data reports

hiData is an AI workspace that turns PDFs, screenshots, and spreadsheets into clean tables, analysis, and presentation-ready slides in one chat flow.

HEROZ builds custom Japanese-language AI and AI meeting minutes (HEROZ ASK) for enterprises

Embed AI-generated dashboards and conversational BI chat inside your own product, white-labeled to match your brand.

Databricks runs your lakehouse data, analytics and production AI agents on one governed platform across AWS, Azure and GCP.

Obviously AI is now Zams — the archived obviously.ai domain shows the old no-code machine learning workflow: CSV in, predictive model out,

OneSchema runs AI agents over 10GB+ files to ingest, normalize, and validate enterprise data for regulated industries.