Head to head · Verified 2026-08-11
Kodus vs Panto
Kodus covers more of the baseline (6.5/9 vs 1.5/9), but the split matters more than the total. Everything below comes from each vendor's public documentation, mapped against the same 9 standards.
Kodus
AI PR Review
Open-source AI code review built to run where the organization controls: self-hosted or cloud, models under your keys, org-wide Kody Rules.
- Licence
- Open source
- Self-hosting
- Self-hostable
- From
- $10/dev/mo
Panto
AI PR Review
AI code reviewer with 30,000+ security checks, IaC and secrets scanning, and business context pulled from Jira and Confluence.
- Licence
- Proprietary
- Self-hosting
- Enterprise only
- From
- See pricing
The short answer
Across the 9 standards, Kodus is better documented on 8 (context depth, rule control, local and PR review, learning from your team, sandbox validation, cost control, actionable fixes and ROI reporting), Panto on 0 (none), and 1 come out even.
On deployment they are not interchangeable: Kodus is fully self-hostable on a standard plan, while Panto is self-hostable only on an enterprise contract. If code cannot leave your network, that single row decides the evaluation before anything else on this page.
Kodus publishes its source under AGPL-3.0 (dual-licensed; enterprise-marked files commercial); Panto is proprietary. That changes what you can audit, fork, and keep running if the vendor's terms change.
Pick Kodus if you care most about context depth, rule control and local and PR review, the reviewer has to run inside your own infrastructure and you want to read the source before you trust it.
Pick Panto if its documented coverage lines up with how your team already works.
Side by side
| Fact | Kodus | Panto |
|---|---|---|
| Licensing • | Open source — AGPL-3.0 (dual-licensed; enterprise-marked files commercial) | Proprietary |
| Self-hosting • | Yes — full stack | Enterprise only |
| Free tier • | Limited free tier | Unknown |
| Pricing • | Free Community cloud tier (BYOK, up to 10 Kody Rules); Teams $10/dev/mo + your token costs; Enterprise custom; self-hosting free under AGPL | Not clearly published as of Aug 2026 (pricing page dominated by QA product); third-party trackers cite ~$15/dev/mo with a ~$40 tier - verify with vendor |
| Model control • | BYOK on every plan: OpenAI, Anthropic, Gemini, Vertex, Novita, or any OpenAI-compatible endpoint (vLLM/Ollama); zero token markup | unknown - no published BYOK or model choice |
| Platforms • | GitHub, GitLab, Bitbucket, Azure DevOps, Forgejo | GitHub, GitLab, Bitbucket, Azure DevOps |
| Last verified | 2026-08-11 | 2026-08-11 |
• marks a row where the two genuinely differ.
All 9 standards
✓ documented · ~ partial · ✗ not offered · ? undocumented. The arrow marks which tool documents more on that standard — it is not a quality judgement, only a coverage one.
Kodus: Repo-level analysis plus linked sibling repos; pulls business context from Jira, Linear, and Notion.
Panto: Pulls business context from Jira/Confluence; codebase-wide context depth not documented.
Kodus: Plain-language Kody Rules with global-repo-directory scope; auto-imports .cursorrules, CLAUDE.md, AGENTS.md, etc.
Panto: Team-defined custom rules not documented; ships 30,000+ predefined security checks.
Kodus: Reviews run via CLI locally, in CI, and on PRs; distinct local-vs-PR behavior modes not detailed publicly.
Panto: Local/IDE review surface not documented.
Kodus: Pulls context from Jira, Linear, and Notion to check a PR against what the ticket asked for.
Panto: Aligns PR analysis with requirements from Jira and Confluence - its core differentiator.
Kodus: Kody generates rules automatically by analyzing team review history; rules and review history persist.
Panto: Learning from review feedback not documented.
Kodus: No documented sandbox execution or runtime validation of findings.
Panto: Sandbox or test-run validation not documented for the review product.
Kodus: BYOK on every plan, zero token markup, published cost estimates, token-usage dashboard.
Panto: Pricing not clearly published for the review product; no BYOK or token transparency documented.
Kodus: Provides fix suggestions in reviews; one-click commit flow not verified in the posts we checked.
Panto: Fix-apply flow not documented in the sources we verified.
Kodus: Token-cost and usage dashboard documented; DORA-style ROI reporting not verified in public posts.
Panto: Audit-friendly security reporting exists; review ROI metrics not documented.
Kodus vs Panto: FAQ
What is the main difference between Kodus and Panto?
Kodus covers more of the baseline (6.5/9 vs 1.5/9), but the split matters more than the total. Kodus is fully self-hostable on a standard plan and open source under AGPL-3.0 (dual-licensed; enterprise-marked files commercial); Panto is self-hostable only on an enterprise contract and proprietary.
Can Kodus and Panto be self-hosted?
Kodus: Yes — full stack — Free under AGPL via Docker Compose, VM, or Kubernetes/Helm; no seat minimums; optional daily heartbeat can be disabled. Panto: Enterprise only — Self-hosted/on-prem deployment offered at the enterprise level.
Do Kodus and Panto support the same platforms?
Both document support for GitHub, GitLab, Bitbucket and Azure DevOps. Kodus additionally documents Forgejo; Panto adds nothing else.
Which one scores higher against the 9-pillar standard?
Kodus scores 6.5/9 against 1.5/9. The score is coverage of documented capability, not quality of findings — the full formula is on the methodology page.
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