
The AI coding agent that turns ideas into shipped software
Repowise records 29,455 monthly visits with +26.3% month-over-month growth and Freemium pricing. TrustOSS records 0 monthly visits with 0% growth and Free pricing.

Free GitHub repo analyzer for health scores, fake-star audits and dependency risk
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | repowise.dev | trustoss.org |
| Pricing Model | Freemium | Free |
| Monthly Visits | 29.46K (29,455) | 0 (0) |
| MoM Traffic Delta | +6.14K (+26.3%) | 0 (0%) |
| Primary Market & Share | 🇮🇳 India (20.6%) | 🌐 Global (—) |
| Direct Visits / mo | 13.92K | 0 |
| User Rating | 4.6 | 4.6 |
| Supported Platforms | Website | Website |

One living index of your codebase that AI agents and pull requests can actually read
Structure, call edges, git churn, co-change patterns, ownership, test reachability and recorded decisions are mapped once and refreshed on every commit, giving agents and reviewers a single shared source of truth.
Claude Code, Cursor, Codex, VS Code and any MCP client can ask for the callers, owners and tests of a file before editing it, which the vendor benchmarks at roughly a third fewer agent output tokens on large repos.
Every file receives a 1-to-10 score from deterministic markers validated against real bug fixes, with ranked refactoring plans, dead-code findings and cross-file performance issues such as N+1 queries.
One comment per PR names the callers a change reaches, lists changed lines that no test covers, stays silent when the PR is clean and adapts to replies your team writes.

Free GitHub repo analyzer for health scores, fake-star audits and dependency risk
A 0–100 score with a letter grade, broken into five weighted dimensions — activity, maintenance, community, documentation and maturity — computed entirely from public GitHub data.
Plots the star growth curve and profiles recent stargazers by account age, followers and repo count to flag bought popularity.
Checks known vulnerabilities from OSV, real dependent packages from deps.dev, bus factor from commit concentration, CI pass rate, PR merge rate and docs-only detection, reported as OK/WARN/RISK findings with evidence.
Pick 2–4 candidate libraries and get a radar chart plus a score table across all five dimensions, with the strongest pick highlighted.

The AI coding agent that turns ideas into shipped software
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AI-generated wikis and chat for any public GitHub repository

Agent orchestration platform for your whole software development lifecycle
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AI code review and status updates that keep every repo on track
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Context-aware AI code reviews and a model router for coding agents
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AI code review that understands your whole codebase
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