Chartt
7.3#4 in ai data analysis toolsFrom $7 a monthFree planWeb
VisitChartt vs Quadratic
What both publish
| Fact | Chartt | Quadratic |
|---|---|---|
| Headquarters | Sheridan, Wyoming, United States | Boulder, Colorado, USA |
| Integrations | The privacy policy names Vercel, AWS, Neon, Clerk, OpenAI, and Google Gemini as service providers; the site does not describe these as user-facing integrations. | Listed connections include PostgreSQL, MySQL, Snowflake, BigQuery, MariaDB, MS SQL, CockroachDB, Supabase, Neon, QuickBooks, Google Analytics, Mixpanel and Plaid. |
| Intended users | The maker presents Chartt for analysts, operations leads, and founders who want spreadsheet answers without SQL, pivot tables, or maintained BI dashboards. | Quadratic presents Personal for individuals, Pro for shared-workspace users, Business for teams needing more AI capacity, and Enterprise for companies needing custom features and support. |
| Licence | The public site does not publish an open-source licence for Chartt. | The public self-host repository contains an all-rights-reserved copyright notice rather than an OSI open-source licence. |
| Product | Chartt describes itself as an AI analyst for CSV and Excel files that answers plain-language questions with charts, numbers, and explanations. | Quadratic is an AI-enabled spreadsheet combining spreadsheet formulas with Python, SQL, JavaScript, AI, and live data connections. |
Chartt plans
- FreeFree
- Starter$7 a month
- Pro$29 a month
- Max$109 a month
Quadratic plans
- Pro$18 a month
- Business$36 a month
- PersonalFree
- EnterprisePriced on request
Pick Chartt if…
Chartt is aimed at analysts, operations leads, and founders who want spreadsheet answers without SQL, pivot tables, or maintained BI dashboards. Its free plan may suit users with modest query needs and files under 100 MB.
Pick Quadratic if…
Quadratic suits individuals or teams who want to combine spreadsheet work with Python, SQL, JavaScript, AI, and connected data. Its plans are aimed at individual users, shared-workspace users, teams needing more AI capacity, and enterprises needing custom features and support.