CodeFactor vs Compology vs Core Web Vitals History: Which Is Right for You in 2026?

CodeFactor

Freemium, flat per-repository monthly or annual subscription for private repos, not per-user · From Free (Community plan, unlimited public repos); paid Pro plans priced per private repository

Best for: Software teams on GitHub or Bitbucket wanting automated letter-grade code quality feedback (complexity, duplication, style) on every commit and PR without configuration.

Compology

Enterprise B2B, quote-based hardware plus software subscription (historically; now offered through RoadRunner Recycling) · From Not publicly disclosed; historically sold as a custom quote combining camera hardware installation and a recurring monitoring subscription

Best for: Waste haulers, property managers, and Fortune 500 companies needing AI camera-based monitoring of dumpster fill levels and contamination, now delivered through RoadRunner Recycling.

Core Web Vitals History

Free to use, no account required · From Free

Best for: Anyone checking a website's historical LCP, INP, or CLS trends via Google's CrUX History API, without needing an account.

CodeFactor

Compology

No individual plan breakdown documented yet.

Core Web Vitals History

No individual plan breakdown documented yet.

CodeFactor

Pros

• Genuinely zero-configuration onboarding, with grading starting on the first PR
• Free tier is unlimited for public repositories and users
• Per-repository pricing can be cheaper than per-seat tools for small teams
• Easy-to-understand A-F grades communicate quality to non-technical stakeholders
• Broad language support across two dozen common languages

Cons

• Per-repository pricing can get expensive for organizations with many small private repos
• Pro plan branch and repo-size limits may be restrictive for larger codebases
• Less deep or configurable than dedicated static-analysis platforms like SonarQube
• Small company size means limited support bandwidth versus larger vendors
• Exact Pro and Pro Max dollar pricing is not consistently published

Compology

Pros

• Pioneered AI camera-based monitoring for an industry that historically had little real-time visibility into container status
• Contamination scoring helped customers reduce recycling contamination penalties and improve sustainability metrics
• Adopted by well-known large enterprise customers, including major restaurant chains, indicating real-world enterprise validation
• B Corp certification signaled a formal commitment to social and environmental accountability
• Technology and team were preserved through acquisition rather than the company shutting down

Cons

• No longer exists as an independent company, so it cannot be evaluated or purchased as a standalone product today
• Current access to the technology requires going through RoadRunner Recycling rather than Compology directly
• Historic pricing was not publicly disclosed, making cost comparisons to current alternatives difficult
• Camera-based hardware requires physical installation, unlike purely software-based waste management tools
• Public information about Compology post-acquisition is limited since it is no longer separately marketed

Core Web Vitals History

Pros

• Free to use with no account or payment required
• Based on real-user field data from Google's own CrUX dataset rather than a single simulated test
• Useful for confirming whether a performance fix actually improved real visitor experience over time
• Multiple independent implementations exist, so users can compare interfaces and pick a preferred one
• Separates mobile and desktop data, which often differ significantly for the same site
• Requires no technical setup beyond entering a domain or URL

Cons

• Coverage depends entirely on Google's CrUX dataset, which excludes low-traffic pages and sites below its aggregation threshold
• Historical window is typically limited to about six months, restricting longer-term trend analysis
• Data lags real time by roughly a month per CrUX's own reporting cadence, so very recent changes will not show immediately
• Because it is a category of similar tools rather than one product, feature depth and reliability vary between implementations
• URL-level (single-page) data is less consistently available than origin-level (whole-site) data
• Not a substitute for lab-based diagnostic tools when trying to identify the specific cause of a performance regression

CodeFactor

• Public quality badge for open source — An open-source project displays a live quality grade badge for its public repository.
• Pull request quality gates — A small dev team enforces quality checks automatically on every pull request.
• Client repository health monitoring — An agency tracks code health across multiple client repositories from one dashboard.

Compology

• Optimizing hauler pickup schedules — Waste haulers used fill-level data from Compology's cameras to schedule pickups based on actual container fullness rather than fixed routes.
• Verifying billed waste services — Property managers and large retail chains used image and fill data to confirm haulers had actually emptied containers as invoiced.
• Reducing recycling contamination — Enterprises used the Contamination Score to identify and correct recurring recycling contamination issues at specific sites.

Core Web Vitals History

• Post-optimization verification — Confirm whether a page speed or Core Web Vitals fix actually improved real-user metrics in the weeks following deployment.
• SEO and search performance reporting — Include historical Core Web Vitals trend charts in client or stakeholder reports to demonstrate page experience improvements over time.
• Competitive performance benchmarking — Compare a site's historical Core Web Vitals trend against competitors' public domains to identify relative strengths or gaps.
• Pre-redesign baseline tracking — Capture a baseline history before a site redesign or migration to compare against post-launch data.