Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for frontend developers, indie developers, Supabase-flavored teams, prototype builders, local-development-first teams, embedded / browser developers, AI agent developers, AI-curious readers tracking open-source Supabase alternatives, and any developer wiring an AI coding agent to a local Supabase-compatible backend -- and who can pair sanketsahu/tinbase with Node.js 18+ (or Deno / Bun) for
Who should use it
Who should skip it
Pass on sanketsahu/tinbase if its scope or audience does not match what your team is building right now.
About this signal
sanketsahu/tinbase is tracked by RepoRadar as a mit pure-js docker-free supabase in the Docker-Free Supabase-Compatible Backend (PGlite section. It was first seen on 2026-07-07 and last updated on 2026-07-07. The current verdict is 'try now' with a Gold tier and easy setup difficulty. The standout signals for sanketsahu/tinbase are workflow potential (9.1) and practical usefulness (9.0), while maturity (6.3) trails — that balance shapes where it fits best. This page summarizes the evidence RepoRadar has captured from captured source metadata. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned sanketsahu/tinbase a composite score of 8.0 out of 10, placing it in the Gold tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 1.0 and never affects the composite score or tier. The risk label of 'conditional' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.
Risk explanation
The 83* / 3-fork repo is at active maintenance but the project status is experimental -- the README explicitly says 'it is not meant for production usage yet'; the consumer SHOULD pin the version on first integration; expect API changes between versions; and benchmark the consumer's workload against hosted Supabase before relying on tinbase in production.
