CodeRabbit records 1,048,880 monthly visits with +4.6% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing pricing. Openlayer records 48,415 monthly visits with -6.4% growth and Freemium, Contact for Pricing pricing.
AI code review, PR triage, and security monitoring for fast-moving teams
AI governance, testing, and observability for regulated enterprises
| Dimension / Metric | | |
|---|---|---|
| Official Domain | coderabbit.ai | openlayer.com |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 1.05M (1,048,880) | 48.42K (48,415) |
| MoM Traffic Delta | +45.96K (+4.6%) | -3.3K (-6.4%) |
| Primary Market & Share | 🇺🇸 United States (24.4%) | 🇺🇸 United States (44.1%) |
| Direct Visits / mo | 335.01K | 25.94K |
| User Rating | 4.6 | 4.4 |
| Supported Platforms | Website | Website |
AI code review, PR triage, and security monitoring for fast-moving teams
Every pull request gets line-level comments that draw on repository-wide context, coding guidelines and related files rather than just the diff in isolation.
Comments ship with one-click fixes, and CodeRabbit will iterate with human authors or coding agents until the feedback is resolved and re-verified.
Scores, ranks and routes incoming pull requests so high-impact changes are reviewed first and routine ones fast-track, with a board view of the queue.
Semantic diffs, blast-radius analysis and architecture diagrams make very large, agent-generated changes understandable in a few minutes.
AI governance, testing, and observability for regulated enterprises
Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data.
Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define.
Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis.
Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production.
SpecialistAll-in-one AppSec platform that finds and auto-fixes vulnerabilities
SpecialistAll-in-one AppSec platform that finds and auto-fixes vulnerabilities
Free / Open-sourceOpen-source AI pair programming inside your terminal and git repo
Free / Open-sourceOpen-source AI pair programming inside your terminal and git repo
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
SpecialistAttack-led AI security testing and red teaming
SpecialistAttack-led AI security testing and red teaming
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Analyzes code changes and summarizes repository activity, though with a heavier focus on engineering productivity workflows.
Analyzes code changes and summarizes repository activity, though with a heavier focus on engineering productivity workflows.
SpecialistThe collaboration layer for AI engineering teams
SpecialistThe collaboration layer for AI engineering teams
Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org
Context-aware AI code reviews and a model router for coding agents
Context-aware AI code reviews and a model router for coding agents
Performs deep codebase-wide analysis on pull requests to catch subtle architectural bugs before they get merged.
Performs deep codebase-wide analysis on pull requests to catch subtle architectural bugs before they get merged.
SpecialistThe control plane for trusted enterprise agents and models
SpecialistThe control plane for trusted enterprise agents and models
