DeepSource

Static-analysis platform (quality, coverage, secrets) with Autofix and a metered AI Review add-on; free for open-source repos.

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[ Facts ]

Category: Code Quality
Open source: No
Pricing: Free for OSS (unlimited public repos, 1,000 PRs/mo); Team $24/user/mo annual incl. $100/yr AI Review credit; AI review metered $8-15 per 10K LOC; Enterprise custom source
Self-hosted: Enterprise only — Enterprise adds self-hosted and air-gapped deployment plus BYOK (Anthropic, OpenAI, or Gemini keys).
Platforms: github, gitlab, bitbucket, azure-devops
Model control: BYOK (Anthropic, OpenAI, Gemini) on Enterprise only; vendor-managed models otherwise
Last verified: 2026-08-11

[ Against the 9 Standards ]

Based on public documentation as of 2026-08-11. ✓ documented · ~ partial · ✗ not offered · ? unknown. Methodology on the about page.

? Multi-dimensional Context

AI Review context depth not documented in the sources we verified; static analyzers run per-repo.

~ Rule-Centric & Default Quiet

Configurable static analyzers; custom AI review rules not documented.

? Dual-Workflow: Local vs. PR

Local/IDE review surface not covered in the sources we verified.

? Business Logic Validation

Ticket/requirements validation not documented.

? Continuous Learning

Learning from review feedback not documented.

? Sandbox Validation

Sandbox or test-run validation not documented.

~ Economic Transparency

BYOK (Anthropic, OpenAI, Gemini) is Enterprise-only; AI metering ($8-15/10K LOC) hard to map to tokens.

~ Actionability

Autofix generates fixes for static findings; AI Review fix actionability not documented.

? Measurable ROI

ROI/metrics reporting not documented in the sources we verified.

[ In Our Coverage ]

AI Code Review vs Static Analysis: 2026 Guide

AI code review vs static analysis compared: determinism vs reasoning, false positives, SAST coverage, cost, and why mature teams run both.

Best AI Code Review Tools (2026): 12 Tools Compared

The best AI code review tools 2026 offers, compared honestly: Kodus, CodeRabbit, Greptile, Copilot and more — context depth, pricing, self-hosting.

Open Source AI Code Review: The Real Options (2026)

Open source AI code review tools compared: Kodus (AGPL), PR-Agent (MIT), and more — real licenses, BYOK costs, and how they stack up against closed SaaS.

What Is AI Code Review? How It Works (2026)

AI code review explained: how LLM reviewers work, what they catch and miss, how they differ from linters and static analysis, plus sourced adoption data.

AI Code Review Statistics (2026): Sourced Data

AI code review statistics for 2026: adoption, trust, review turnaround, AI code volume, and bug-catch benchmarks — every stat linked to a primary source.

Evaluating DeepSource?

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Evaluation Guide [↗]