PandasAI vs pgMagic

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

Tagline

PandasAI

Conversational data analysis library that turns natural-language questions into pandas, SQL and chart code.

pgMagic

Mac desktop client that lets you chat with your Postgres database in natural language using your own OpenAI key.

Pricing

PandasAI

Freemium· Basic: $10 · Pro: $30 · Enterprise: Contact sales

pgMagic

Paid· AU$22 one-time license; bring your own OpenAI API key

Lowest paid tier

PandasAI

$10 · Basic

captured 2026-08-10

pgMagic

—

Free trial

PandasAI

Yes

pgMagic

Not listed

API

PandasAI

Yes

pgMagic

Not listed

Platforms

PandasAI

api

pgMagic

macoslinuxapi

Open source

PandasAI

Yes · NOASSERTION

pgMagic

Not listed

GitHub stars

PandasAI

23,813

checked 2026-09-29

pgMagic

—

Last GitHub push

PandasAI

2025-10-28

pgMagic

—

First commit

PandasAI

2023-04

pgMagic

—

Company

PandasAI

pgMagic

—

Model used

PandasAI

Multi-model (via LiteLLM)

pgMagic

OpenAI (user-supplied API key)

Best for

PandasAI

Pick PandasAI if you want a battle-tested OSS layer for 'chat with your dataframe' that you can self-host and point at any LLM.

pgMagic

Pick pgMagic if you're a solo developer or DBA who lives in Postgres on a Mac and wants a cheap, native SQL workbench with an LLM assistant attached.

Not for

PandasAI

Skip it if you need a polished no-code BI dashboard out of the box or aren't working in Python.

pgMagic

Skip it if you need cross-database support, a Windows/Linux build, team features, or a managed text-to-SQL service that doesn't require your own OpenAI key.

Editorial score

PandasAI

7.1 / 10

pgMagic

8.0 / 10

Use cases

PandasAI

data-analysisnatural-language-sqlchart-generationbusiness-intelligencedataframe-querying

pgMagic

natural-language-to-sqlpostgres-clientschema-explorationsql-autocompletead-hoc-querying

Pros

PandasAI

MIT-licensed core with 23k+ GitHub stars and active releases
LiteLLM backend means you pick the model (OpenAI, Anthropic, local)
Docker sandbox isolates generated code execution
Handles CSV, parquet, SQL and multi-dataframe joins out of the box

pgMagic

One-time AU$22 license instead of a subscription
BYO OpenAI key means no per-query markup from the vendor
Native Mac client with schema-aware SQL autocomplete and highlighting
Runs locally; only the LLM call leaves your machine

Cons

PandasAI

Marketing site is sparse; real docs live in the GitHub repo
Python 3.8-3.11 only; no Node/other-language SDK
Enterprise/cloud pricing is opaque (contact sales)
Output quality is bounded by the LLM you wire in

pgMagic

macOS only at the moment, no Windows or Linux build
Postgres only, no MySQL/SQLite/other engines
Requires you to manage and pay for an OpenAI API key separately
Closed source, single-developer project with limited support footprint

Website

PandasAI

pandas-ai.com

pgMagic

pgmagic.app

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.

Pick PandasAI if

✅ MIT-licensed core with 23k+ GitHub stars and active releases
✅ LiteLLM backend means you pick the model (OpenAI, Anthropic, local)
✅ Docker sandbox isolates generated code execution
✅ Handles CSV, parquet, SQL and multi-dataframe joins out of the box

Pick pgMagic if

✅ One-time AU$22 license instead of a subscription
✅ BYO OpenAI key means no per-query markup from the vendor
✅ Native Mac client with schema-aware SQL autocomplete and highlighting
✅ Runs locally; only the LLM call leaves your machine

Compare a different pair →