Grist
by Grist · Relational spreadsheet-database with Python formulas and row-level access rules
BenchRank score
Screenshots of Grist
Homepage
Overview
Grist is a relational spreadsheet-database for building data applications without code. Documents combine spreadsheet-style grids with linked tables, drag-and-drop layouts, charts, summary tables and forms, and formulas written in Python or familiar Excel functions. Granular access rules control who sees each row and column, and it can be self-hosted or reached through a REST API and webhooks.
- Best for
- Teams turning spreadsheets into relational apps that need row-level access rules or self-hosting
- Pricing
- Free plan, then Pro at $8/user/month and Business at $24/user/month (minimum 5 users), with Enterprise on request; annual billing saves 20% and nonprofits get 50% off Pro.
- Runs on
- WebSelf-hosted
Strengths and trade-offs
Strengths
- Formulas support Python syntax plus Excel functions
- Access rules control visibility down to row and column
- Can be self-hosted; documents stored in SQLite format
- REST API, webhooks and custom widgets for extension
Trade-offs
- Records per document capped: 5,000 free, 150,000 on Business
- Business plan requires a minimum of 5 users
- Automations and priority email support start at $24/user/month
- SSO, audit log streaming and admin controls are Enterprise-only
How Grist markets itself
A structured read of the promise, proof and page design on Grist’s captured homepage.
Homepage capture
“Turn the spreadsheets running your business into secure applications”
- Angle: Outcome / benefit-led
- Hero: Product screenshot
Pricing
Published plans and prices from Grist’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Grist pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
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