DefectRisk
No liveness check has reached it yet; it is registered on GitHub and has been in the index since 10 Oct 2026. How this is checked
DefectRisk is an open-source machine-learning project that ranks software modules by their likelihood of containing defects. It compares models including Random Forest and XGBoost, provides evaluation tooling, and includes a local inference CLI for helping engineering teams prioritize code review.
Inferred · not functionally tested
Overview
6 featuresPurpose: Prioritizing code review when a team cannot inspect every software module equally.
Inferred · not functionally tested
Audience: software engineering teams and developers
Inferred · not functionally tested
Functions: analytics
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Open Source · platforms: WEB · deployment: browser, cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: marcelotaparelli.com.br · github.com. These links do not verify the individual claims.
DefectRisk is an Other data science & ML project. Inferred · not functionally tested: It focuses on prioritizing code review when a team cannot inspect every software module equally. Inferred · not functionally tested: It is built as an open-source project for software engineering teams and developers. Basis unknown · not verified: The project is open source (Open Source). Basis unknown · not verified: DefectRisk is available on the web and the command line, and it can be self-hosted.
Behind DefectRisk is Marcelo Taparelli, based in Brazil, and it first shipped in 2026. The project is developed in the open on GitHub with 3 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include defect-risk ranking, code review prioritization, and Random Forest models. The interface is available in English and Portuguese.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Defect-risk ranking
- Code review prioritization
- Random Forest models
- XGBoost models
- Model evaluation
- Calibration analysis
Topics: Inferred · not functionally tested
Built with & integrations
- Astro
- /_astro/ in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about DefectRisk
- What does DefectRisk do?
- Inferred · not functionally tested: DefectRisk focuses on prioritizing code review when a team cannot inspect every software module equally. It is catalogued under Other data science & ML on PulseGate.
- Who is DefectRisk for?
- Inferred · not functionally tested: DefectRisk is an open-source project built for software engineering teams and developers.
- Does DefectRisk have a free plan?
- Basis unknown · not verified: Yes — DefectRisk is open source under the Open Source license and free to use.
- What platforms does DefectRisk run on?
- Basis unknown · not verified: DefectRisk runs on the web and the command line. It can also be self-hosted.
- Is DefectRisk still maintained?
- The GitHub repository shows 3 commits in the last 90 days.
- Who develops DefectRisk?
- DefectRisk is developed by Marcelo Taparelli, based in Brazil.
- When did DefectRisk launch?
- DefectRisk first shipped in 2026.
- Is DefectRisk open source?
- Basis unknown · not verified: Yes — DefectRisk is open source under the Open Source license, developed on GitHub.
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