Vettd vs DeepSource
which one fits your workflow?
DeepSource is an established static analysis and code review platform. They've added AI Review (with BYO API key on Enterprise) on top of their original analyzer-based offering. Pricing is per-user with credit-based AI Review usage. Free for unlimited public repos; Team tier at $24/user/mo with $100 in annual AI credits per user.
TL;DR
Pick DeepSource if
- You want a mature analyzer-driven platform across many languages — DeepSource has been refining this for years.
- You want to bring your own LLM keys (Anthropic / OpenAI / Gemini) for AI Review — DeepSource Enterprise supports BYOK.
- You're running on monorepos at scale — DeepSource Team has explicit monorepo support and audit logs.
- You're an OSS maintainer with public repos — Free tier is unlimited public repos with 1,000 PR reviews/mo.
Pick Vettd if
- You're a solo dev or small team and per-user pricing ($24/user/mo) is heavy for the value compared to per-project ($19-99/mo on Vettd).
- You want the live-site audit on top of code review — DeepSource is code-only.
- You want auto-generated fixes shipped as Markdown for AI agents (Claude Code / Cursor / Windsurf).
- You want AEO checks (llms.txt, citable schema, FAQPage) and completeness checks (placeholder text, dead links, debug logs in prod).
- You don't want to manage AI Review credits separately — Vettd bundles LLM cost into the subscription.
At a glance
Side by side, in one breath.
Who picks which
A recommendation for your situation.
DeepSource's OSS tier is generous — unlimited public repos and 1,000 PR reviews/mo. Vettd doesn't have a free Code Review tier. For pure OSS work, DeepSource is the right cost choice. (Vettd Site Scan is still free if you also want to audit the docs site or marketing landing.)
DeepSource Team for 10 devs is $240/mo + AI Review credit overage as you go. Vettd Watch 5/10 is $49-99/mo per project regardless of team size, with code review specifically tuned for JS/Next.js/React (App Router gotchas, Server vs Client Component pitfalls, NEXT_PUBLIC secret leaks) plus the live-site audit. For this stack, Vettd is more focused and cheaper.
DeepSource's breadth across languages is the right shape for a polyglot stack. Vettd is JS/Next-focused on the code side. For multi-language coverage at scale with audit logs and API/webhooks, DeepSource is the mature choice.
Feature matrix
Every capability that matters, side by side.
33 rows across scanning, fixing, distribution, compliance, and team workflow.
| Feature | Vettd | DeepSource |
|---|---|---|
| Scanning | ||
Pull request review with inline comments | ||
Static analyzers across many languages DeepSource's historic differentiator. | JS/TS focused | |
AST analysis on push (TypeScript / JavaScript) | ||
Dependency CVE scan | ||
Hardcoded secret detection | ||
AI-powered code review DeepSource sells "AI Review" as a credit-metered add-on. | ||
Live URL audit (real browser, screenshot, headers) | ||
Web Vitals on the live site | ||
AI-graded legal pages + headlines | ||
AEO (AI search readiness) | ||
Completeness checks (Lorem ipsum, dead links, debug logs) | ||
Public scan with no signup | ||
| Fixing | ||
Inline fix suggestions on PRs | ||
Auto-formatting runs DeepSource Team includes unlimited code formatting. | ||
Auto-generated patches per finding | Partial | |
Markdown export for AI agents | ||
BYO LLM API keys (Anthropic / OpenAI / Gemini) | Enterprise only | |
AI Review pricing model | Bundled in subscription | Credit-metered ($8-15 / 10K LOC) |
| Distribution | ||
GitHub App | ||
GitLab support | Roadmap | |
Bitbucket / Azure DevOps | ||
API + Webhooks | Roadmap | |
MCP server (Claude Code, Cursor, Windsurf) | ||
Embeddable status badge | Partial | |
| Compliance & trust | ||
OSS free tier | Site Scan free; Code Review paid | Unlimited public repos free |
Self-hosted deployment | Enterprise | |
SSO / SAML | On request | Enterprise |
Audit logs | Team and up | |
Source code retention | Pulled, analyzed, discarded | Persisted |
| Team & workflow | ||
Monorepo support | ||
Score history + trend graph | ||
Per-project pricing DeepSource is per-user. | ||
AI Review cost predictability | Flat per-project | Credit overage adds up |
Pricing breakdown
Tier by tier, in your local currency unit.
- 82 production-readiness checks
- Public report URL
- Embeddable badge
- Auto-generated fixes
- Markdown export for AI agents
- Money-back if no real issue caught
- 1 monitored project
- Code Review on every push
- Weekly auto re-scan
- AI QA on preview deploys
- 5 monitored projects
- Per-project trend graphs
- 10 monitored projects
- Unlimited public repositories
- 1,000 PR reviews/month
- AI Review pay-as-you-go
- No private repos
- Unlimited repositories + PR reviews
- $100 annual AI Review credit per user
- Standard AI Review: $8/10K LOC
- Advanced AI Review: $15/10K LOC
- Monorepo support, API/Webhooks, audit logs
- Priority support
- All Team features
- Self-hosted deployment
- BYOK for AI Review (Anthropic / OpenAI / Gemini)
- SSO
- Dedicated account manager
- Migration assistance
Architecture & trust
Where data goes, what's persisted, what compliance covers.
| Vettd | DeepSource | |
|---|---|---|
| Source code retention | Pulled, analyzed, discarded — not persisted | Persisted (encrypted) for analyzers + history |
| Self-hosting | Not available | Enterprise |
| BYO LLM keys | Vettd-managed only | Enterprise |
| OSS free tier | Site Scan only | Unlimited public repos |
| AI Review cost model | Bundled in flat per-project subscription | Credit-metered ($8-15 / 10K LOC analyzed) |
Migration & interop
How to move, or how to run both.
DeepSource and Vettd overlap on code review and dependency scanning, but DeepSource has broader language analyzer coverage. If your stack is JS / TypeScript / Next.js / React focused, Vettd's code rules are more specialized. If your stack is polyglot (Python + Go + Ruby + Java + JS), DeepSource's breadth wins. Migration is straightforward: install Vettd's GitHub App, observe the findings overlap, decide whether to consolidate.
Both install as independent GitHub Apps — no conflict. A common pattern: DeepSource for the polyglot code-review depth, Vettd for the live-site audit + AEO + completeness layers DeepSource doesn't cover. The findings overlap is mostly basic security and code-quality (hardcoded secrets, dependency CVEs); Vettd's differentiated value is the deployed-site surface.
FAQ
Answers to the obvious follow-up questions.
Try Vettd against your own site.
Free Site Scan, no signup. 30 seconds. 82 production-readiness checks.