Iris Code vs DeepSource
Iris Code never asks for your repository. That is the whole difference.
The short answer
Iris Code runs in your editor, on your machine, and blocks the push from there. Nothing is uploaded, no app is installed on your Git provider, and private repositories are covered on the free tier because analysis never leaves the laptop. DeepSource takes the opposite approach: connect the repo, analyse every commit on its infrastructure, comment on the pull request. That buys you an organisation-wide dashboard, which Iris Code does not have.
What DeepSource is
DeepSource is a hosted code health platform. You install its app on GitHub, GitLab, or Bitbucket, commit a .deepsource.toml naming the analyzers you want, and it analyses each commit and pull request on its infrastructure, posting inline comments with one-click Autofix. The Team plan is $24 per user per month billed yearly. The free Open Source plan covers public repositories only.
What each one does.
9 of these rows go to Iris Code and 4 to DeepSource. Both are in the table.
Pro is $6 a month where you are. Pricing is adjusted for purchasing power, so $6 is the ceiling and many countries pay less. See your rate.
Claims about DeepSource were checked against its own published material on 18 August 2026. Pricing and features change. If anything here is out of date or wrong, tell us and it will be corrected.
Which one you should actually pick.
Choose Iris Code when
- Granting a third party read access to your source is not an option.
- You want the feedback while writing, not after pushing.
- You want private repositories covered without a per-seat subscription.
- You want enforcement that works with no network and no service in the path.
- You want the same rules applied identically in the editor, in the hook, and in CI, from one config file.
Choose DeepSource when
- You want analysis with nothing installed on any developer's machine.
- You need one dashboard covering every repository, with issue trends per team.
- Pull request gating through the Git provider is where your process already lives.
- Your code is public, where DeepSource costs nothing.
- You want infrastructure-as-code scanning alongside application code.
Running both
There is no conflict in running both, but there is real overlap, and most teams pick one. If you already run DeepSource for pull request gating, the reason to add Iris Code is the local half: catching the problem before the commit exists rather than commenting on it afterwards.
Questions people ask.
Does Iris Code need access to my repository?
No. There is no app to install on GitHub, no token to grant, and no service that reads your code. Iris Code runs inside your editor and reads the files already open on your machine.
Can I use Iris Code on private repositories for free?
Yes. The free tier is not restricted to public code, because analysis is local and nothing is uploaded. File analysis, secrets detection, security smells, and duplicate detection are all free.
Does Iris Code give me a team dashboard?
No, and that is a real gap if you need one. Trend history is stored per workspace on the developer's machine. If organisation-wide reporting is the requirement, a hosted platform is the better fit.
Try it against your own code.
The free tier needs no account and no repository access. Install it, open a file, and see what it says.
Catch regressions before human review
Install Iris Code, set a threshold, and make every change answer to the same deterministic rules. Source analysis runs locally. The same rules run in VS Code, JetBrains IDEs, the iris CLI, hooks, and CI.