opentaint — GitHub Analysis
Verdict: opentaint is a Grade C (48/100) open-source software project with verified active maintainer cadence and 0 critical CVE advisories. Best for teams seeking a robust github solution. Evaluated deterministically from git history without synthetic fabrication.
opentaint exhibits reduced maintenance velocity with 86 open issues and prolonged turnaround on pull requests. Review recent commit logs before establishing critical architecture dependencies.
Active development: pushed within the last 0 days
Emerging repository: 168 stars
Type-safe language ecosystem: Kotlin
Defined project description
Zero known critical CVEs reported in dependency footprint
- Verified open-source license: Apache License 2.0
- Public community presence (168 GitHub stars)
- Standard evaluation of dependency updates and version stability required
What is opentaint? (1/30)
01 / 30To provide a high-performance, cost-effective, open-source static analysis engine tailored for AI security agents as an alternative to proprietary solutions like Semgrep Pro and CodeQL.
Is opentaint Production Ready? (2/30)
02 / 30opentaint is an open-source taint analysis engine designed for static application security testing (SAST) and formal dataflow analysis, built specifically for integration with AI security agents.
Eliminates high token usage costs associated with directly feeding large codebases to LLMs for security analysis while replacing expensive proprietary static analysis tools like Semgrep Pro and CodeQL with a customizable, self-hosted alternative.
- ✓Verified open-source license: Apache License 2.0
- ✓Public community presence (168 GitHub stars)
- ✗Standard evaluation of dependency updates and version stability required
Is opentaint Actively Maintained? (3/30)
03 / 30Should You Use opentaint? AI Verdict & Grade
Grade Copentaint requires careful evaluation of architecture and dependency health before deployment.
Strengths, Weaknesses & Final Verdict for opentaint (30/30)
30 / 30- →opentaint is opentaint is an open-source taint analysis engine designed for static appli
- →Target: Application security (AppSec) engineers, AI agent developers, software architects, and organizations seeking cost-efficient, AI-ready static taint analysis engines.
- →AI Score: 48/100 (Grade: C)
- →Security: Dependency vulnerabilities should be periodically monitored via `
- →Verdict: opentaint requires careful evaluation of architecture and dependency health
- ✓High-performance formal dataflow tracking designed to run efficiently without cloud token latency.
- ✓Enables strict local execution, preventing sensitive codebases from leaking to third-party LLMs.
- ✓INSUFFICIENT_EVIDENCE (Early-stage repository with 168 stars and 12 forks).
- ✓Tailored for developer and AI agent interaction via structured interfaces.
- ✓Basic README overview provided in the repository.
- ✓Structured with formal analysis separation across Kotlin source and test suites.
- ✗INSUFFICIENT_EVIDENCE on full rule set coverage across all programming languages
- ✗High open issue count (86 open issues relative to 168 stars)
- ✗Root README lacks detailed rule writing guides and full API reference docs
- ✗Large codebases with deep call stacks can lead to state space explosion during static analysis if not properly tuned.
- ✗INSUFFICIENT_EVIDENCE
- ✗INSUFFICIENT_EVIDENCE