[ Hypervex vs DeepSource ]
Deep static analysis with a growing AI layer
DeepSource is a code-health platform where security is one of several report cards. Hypervex does one thing: decide whether a change is safe to merge, and show its reasoning.
What DeepSource is good at
Rule depth and platform maturity. 5,000+ deterministic rules across 30+ languages, reachability-analysed dependency scanning, code coverage, compliance reporting, license compliance, multi-platform SCM support, a CLI, an MCP server, and self-hosted deployment. It is the most complete product in this comparison and they publish their benchmark methodology openly, which is rarer than it should be.
Pricing: $24/user/month annual ($30 monthly), plus usage-based AI Review credits ($8–15 per 10K processed LOC after an included allowance) and per-target SCA pricing
Where DeepSource is stronger than Hypervex
- Vastly more deterministic rules — 5,000+ across 30+ languages vs Hypervex's Semgrep rule packs
- Code coverage tracking, compliance reporting and license compliance, none of which Hypervex has
- Autofix that commits directly from a finding; Hypervex's autofix starts from a labelled issue
- Real-time commit-level analysis, multi-SCM support, a CLI, an MCP server, and self-hosted/airgapped deployment
- Quality and security gates that can block a merge
Hypervex is a newer, narrower product built by one engineer. These gaps are real and we are not going to pretend otherwise.
Where Hypervex is different
Exploitability verification, not just rule depth
More rules means more findings. The Trace exists to answer the question rules cannot: given this codebase, is this specific finding actually reachable? It reads files outside the diff to decide.
Confidence and certainty as first-class fields
DeepSource grades findings Critical / Major / Minor. Hypervex adds a 0–100 confidence score and a definite-vs-potential certainty flag, so you can triage by how sure the reviewer is, not only by how bad the issue would be.
Flat, predictable pricing
$19/month flat. DeepSource's AI review is usage-priced per 10K lines processed on top of a per-seat base — workable at predictable volume, harder to forecast when your codebase or team grows.
Pick DeepSource if
you want a mature code-health platform with coverage, compliance and rule breadth, and you can absorb usage-based pricing. If what you actually need is a second opinion on whether a change is exploitable, that is the narrower thing Hypervex is built for.
Compare with
Based on DeepSource's public documentation and pricing pages as of August 2026. These products ship fast — if something here is out of date or unfair, email admin@hypervex.ai and we will correct it.