Compare Larridin
Tools for measuring engineering come in three generations. The first measured engineering metrics: DORA, developer surveys and allocation, as DX, Jellyfish, Swarmia and Faros AI’s original product do. The second, AI-native engineering intelligence from Span and Weave, attributes code to AI, follows agents and routes prompts. Larridin is the third: company-wide AI ROI, measuring people and agents in engineering and every other team, with the spend behind them and the value they return.
- Larridin vs DX DX, part of Atlassian, pairs developer experience surveys with engineering data and AI cost reporting. See the comparison
- Larridin vs Jellyfish Jellyfish maps engineering work to business investment and added AI modules in 2025. See the comparison
- Larridin vs Faros AI Faros started as an engineering data platform and now governs coding agents and their model routing. See the comparison
- Larridin vs Swarmia Swarmia helps software teams improve flow, with published per-developer pricing. See the comparison
- Larridin vs Span Span is AI-native and traces agent work from prompt to pull request. See the comparison
- Larridin vs LinearB LinearB counts merged pull requests and automates the PR workflow with gitStream. See the comparison
- Larridin vs Weave Weave is AI-native, with a prompt router and one output score per pull request. See the comparison
- DX (GetDX) alternatives Larridin, Jellyfish, LinearB, Swarmia, Faros AI, Span, Weave and Allstacks, compared with who each fits best. See the alternatives
Prove AI’s impact. Across your human and agent workforce.
Try Larridin
From $25,000 a year, annual contract.