DeepSource
Static analysis with LLM Autofix and a sub-5% false-positive rate
Overview
A code-quality and SAST platform that scans repos for bugs, security and anti-patterns, then generates one-click Autofix diffs. For teams wanting low-noise automated review wired into Git.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 13 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- Unlimited team members
- 1,000 PR reviews/mo
- Static analysis
- Unlimited Autofix
- Unlimited repositories
- $120/yr AI Review credits per user
- Custom controls
- Priority support
- Deployment options
What you can produce with DeepSource
- Static analysis across many languages
- Autofix: LLM-generated one-click fixes and automated PRs
- Guaranteed sub-5% false-positive rate
- SAST and security scanning
- CI and pull-request integration
- Config generator for onboarding repos
- Open-source community-analyzers ecosystem
- 1,000 PR reviews/month on the free Open Source plan
ASEAN Perspective
DeepSource in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
DeepSource's calling card is noise discipline. It guarantees a below-5% false-positive rate, and reviewers largely confirm it holds up, which matters because a code scanner nobody trusts gets muted within a week. On top of detection sits Autofix: an LLM reads the flagged code plus its surrounding context and produces a ready-to-merge diff you apply with one click or as an automated PR. Wire it into your CI and pull requests and it takes a real bite out of manual review time. It fits engineering teams that want automated review and SAST without babysitting a triage queue. Caveats are the usual static-analysis ones. Some findings still miss, a few reviewers report their own false-positive streaks, and the genuinely useful features live behind the paid tier. It also overlaps heavily with SonarQube, Code Climate and GitHub's native scanning, so the low-noise promise is what you're really buying.
What people say
The number that defines DeepSource is its false-positive rate. The company guarantees under 5%, and across G2, Capterra and Reddit that claim is the single most-praised thing about the product, users repeatedly say findings are "almost always actionable" and worth investigating rather than dismissing. On Capterra it holds a 4.8/5 overall rating.
Autofix is the other headline. When the engine flags a quality issue, security bug or style violation, it uses an LLM to read the surrounding imports, related functions and project patterns, then generates an idiomatic fix as a reviewable diff. Reviewers call it "a life saver when you have lots of issues in an existing code base," citing time saved on PR reviews and the ability to clear a backlog without hand-editing each finding. The config generator and a fast, responsive support team come up often as smaller wins.
The criticism is measured. Even with the sub-5% guarantee, some users hit their own runs of false positives, flagging code that turned out fine; those can be reported and the ruleset customized, but it's friction. As with any static tool, tuning is part of the deal, and the most valuable capabilities sit on the paid plan rather than the free tier.
Pricing was restructured in February 2026. The old Free and Starter plans were retired in favor of three tiers: a free Open Source plan for public repos with unlimited members and 1,000 PR reviews a month; a Team plan at $24/user/month on annual billing (or $30 month-to-month) with unlimited Autofix, unlimited repositories and $120 of bundled AI Review credits per user per year; and a custom-priced Enterprise tier. DeepSource also maintains an open-source community-analyzers repository, letting the community add third-party analyzers that run on CI and report back.
Good fit: teams that got burned by noisy scanners and want findings they can trust, plus automated remediation. Weaker fit: solo developers on public repos who won't touch Autofix, or shops already deep in SonarQube or GitHub's native tooling.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including DeepSource's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with DeepSource unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to DeepSource directly →
Spotted something out of date? Suggest an update →
DeepSource in the news
More in Code & Dev Tools
