DeepSource vs KeyHog
DeepSource
deepsource.comKeyHog
github.comSide by side
| Figure | DeepSource | KeyHog |
|---|---|---|
| Price from | $2/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 9 | 1 |
| Spec score · Secrets Scanning Software | 9.3 (#1) | 7.7 (#14) |
Plans
DeepSource
- IndividualFree
- Open SourceFree
- Open SourceFree
- AI Review Standard$8, paid once
- SCA add-on$8 a month
- AI Review Advanced$15, paid once
- Team$24 a year
- Team$30 a month
- EnterprisePriced on request
In their own words
DeepSource
DeepSource is an AI code review platform for teams writing code with AI. It reviews pull requests through static analysis and an AI review agent, looking for bugs, anti-patterns, and security vulnerabilities. The review process uses more than 5,000 deterministic rules, while Autofix can provide verified, pre-generated patches for many detected issues. Other checks include secrets detection, open-source dependency vulnerability scanning, and infrastructure-as-code review for Terraform and CloudFormation. Teams can track code coverage and set thresholds for tested code. Supported version-control systems include GitHub, GitLab, Bitbucket, and Azure DevOps; listed integrations also include Jira, Okta, OneLogin, Slack, and Vanta. The service is available through web, API, Linux, macOS, Windows, and self-hosted deployment. Its GraphQL API has a documented limit of 5,000 requests per hour per user. The Open Source tier costs nothing and includes unlimited public repositories and members, plus monthly limits for reviews and formatting runs. Team costs $24 a year, billed yearly, with a stated rate of $24 per user per month. A 14-day trial is available. Enterprise uses custom pricing and offers cloud or self-hosted deployment, among other listed features.
KeyHog
KeyHog is free, open-source Rust software for finding and verifying exposed API keys, tokens, passwords, and other credentials. It scans source repositories and Git history, archives, Docker images, URLs and HAR captures, collaboration content, VCS inventories, cloud-storage inventories, browser assets, and running systems. The project lists 934 service-specific detectors, decode-before-scanning, contextual evidence and suppression, and optional live provider verification. GPU execution can use CUDA, native Metal, or portable WGPU, with calibration selecting a parity-backed option. Its GitHub Action scans checked-out trees, fails on high or critical findings, uploads SARIF to Code Scanning, and retains a workflow artifact. Documented CI integrations include GitLab, CircleCI, Jenkins, Buildkite, and shell jobs. A Unix daemon checks changed repository blobs before commits; Windows uses in-process scanning. KeyHog runs on Linux, macOS, Windows, and self-hosted deployments, and requires Rust 1.89 or newer. Code and detector TOMLs are licensed MIT OR Apache-2.0. The plan costs nothing.