Back to Compare
Buildermark vs scalene
A side-by-side comparison of pricing, ratings, features, pros and cons.
| Overview | |||
| Description | Open-source, local-first tool that measures how much of your codebase was written by AI coding agents. | Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals | |
| Category | |||
| Developer | Gelatinous Development Studio | — | |
| Verified Status | No | No | |
| Last Updated | Aug 2026 | Aug 2026 | |
| Pricing | |||
| Pricing Model | Open Source | Free | |
| Free Plan | Yes | Yes | |
| Free Trial | No | — | |
| Open Source | Yes | No | |
| Capabilities | |||
| API Access | No | — | |
| Features | • Automatic AI-vs-human code attribution from git logs • Conversation ratings and agent critique • Agent benchmarking (Claude, Codex, Gemini, Cursor) • Native commit-time percentage notifications • Local-first, zero telemetry • Free, open source (MIT), Team Server coming soon | — | |
| Tags | ai-code-attributionopen-sourcedeveloper-analyticsagent-benchmarkinglocal-first | scalenehighperformanceprecisionmemoryprofiler | |
| Trust and Engagement | |||
| Review Count | 0 | 0 | |
| Saves | 0 | 0 | |
| Views | 2 | 39 | |
| Quality Score | 29/100 | 62/100 | |
| Website Status | Online | Online | |
| Availability | |||
| Website | buildermark.dev | github.com | |
| Social Links | 1 linked | 2 linked | |
| Screenshots | No | No | |
| Reviews | |||
| Pros | • Free to use | • Free to use | |
Who Should Choose Each Tool?
Ready to Try These Tools?
Alternatives to Consider
Frequently Asked Questions
Both tools are closely matched on rating — the better fit depends on your specific needs. See the full feature and pricing comparison above.
You can compare up to 4 tools — use "Add Tool" in the table above.
Disclosure: AlverHub may earn a commission if you sign up for a tool through a link on this page, at no additional cost to you. This never affects which tools we list or how we describe them — our recommendations are based on real, documented data and our published scoring methodology.