balanced-match vs rogue — Trust Score Comparison
Side-by-side trust comparison of balanced-match and rogue. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
balanced — Nerq Trust Score 60.0/100 (C+). fire — Nerq Trust Score 70.0/100 (B). fire leads by 10.0 points.
Detailed Score Analysis
| Dimension | balanced | fire |
|---|---|---|
| Security | 90/100 | 90/100 |
| Maintenance | 68/100 | 63/100 |
| Popularity | 15/100 | 90/100 |
| Quality | 65/100 | 65/100 |
| Community | 35/100 | 35/100 |
Five-dimension Nerq trust breakdown (registries: pypi / pypi). Scored equally weighted across security, maintenance, popularity, quality, community.
Detailed Metric Comparison
| Metric | balanced-match | rogue |
|---|---|---|
| Trust Score | 61.2/100 | 72.6/100 |
| Grade | C | B |
| Stars | 0 | 1,007 |
| Category | uncategorized | security |
| Security | N/A | 0 |
| Compliance | 100 | 100 |
| Maintenance | N/A | 1 |
| Documentation | N/A | 0 |
| EU AI Act Risk | N/A | high |
| Verified | No | Yes |
Verdict
rogue leads with a trust score of 72.6/100 compared to balanced-match's 61.2/100 (a 11.4-point difference). Both agents should be evaluated based on your specific requirements.
Detailed Score Analysis
Five-dimensional trust breakdown for balanced-match (pypi) and rogue (pypi) from Nerq’s enrichment pipeline. All 5 dimensions scored on 0–100 scales, refreshed every 7 days, covering 5M+ indexed assets across 14 registries.
| Dimension | balanced-match | rogue |
|---|---|---|
| Security | 90/100 | 90/100 |
| Maintenance | 68/100 | 63/100 |
| Popularity | 15/100 | 90/100 |
| Quality | 65/100 | 65/100 |
| Community | 35/100 | 35/100 |
5-Dimension Breakdown
Security — balanced-match vs rogue
Security aggregates dependency vulnerability scans, known CVE exposure, supply-chain hygiene, and adherence to security best practices. On this dimension balanced-match scores 90/100 (top-tier) while rogue scores 90/100 (top-tier). The two are effectively tied on security (both at 90/100). The balanced-match figure is derived from its pypi registry footprint; the rogue figure from pypi. For a pypi/pypi cross-registry pair, a security score above 70 typically reads as production-ready and scores below 50 warrant a second review before adoption. A score above 85 implies a clean dependency tree with 0 critical CVEs in the last 90 days; 70–84 tolerates 1–2 medium-severity issues; below 55 usually flags 3+ unresolved advisories. Given the current 90/100 for balanced-match and 90/100 for rogue, the combined midpoint is 90.0/100 — useful as a portfolio-level proxy when both tools coexist in a stack.
Maintenance — balanced-match vs rogue
Maintenance captures commit cadence, issue turnaround, release frequency, and the health of the project’s active contributor base. On this dimension balanced-match scores 68/100 (mid-band) while rogue scores 63/100 (mid-band). balanced-match leads by 5 points (68/100 vs 63/100), a moderate gap that matters when maintenance is a hard requirement. The balanced-match figure is derived from its pypi registry footprint; the rogue figure from pypi. For a pypi/pypi cross-registry pair, a maintenance score above 70 typically reads as production-ready and scores below 50 warrant a second review before adoption. Scores above 80 correspond to release cadences of 30 days or less and median issue-response times under 7 days; below 50 often means no release in 180+ days. Given the current 68/100 for balanced-match and 63/100 for rogue, the combined midpoint is 65.5/100 — useful as a portfolio-level proxy when both tools coexist in a stack.
Popularity — balanced-match vs rogue
Popularity measures adoption signals—weekly downloads, dependent packages, GitHub stars, and cross-registry citation density. On this dimension balanced-match scores 15/100 (weak) while rogue scores 90/100 (top-tier). rogue leads by 75 points (90/100 vs 15/100), a spread wide enough that teams should weight popularity heavily when choosing. The balanced-match figure is derived from its pypi registry footprint; the rogue figure from pypi. For a pypi/pypi cross-registry pair, a popularity score above 70 typically reads as production-ready and scores below 50 warrant a second review before adoption. A score of 90+ indicates the top 1% of the registry by dependent count or weekly downloads; 70–89 is the top 10%; below 40 suggests fewer than 500 weekly downloads. Given the current 15/100 for balanced-match and 90/100 for rogue, the combined midpoint is 52.5/100 — useful as a portfolio-level proxy when both tools coexist in a stack.
Quality — balanced-match vs rogue
Quality evaluates documentation completeness, test coverage indicators, typed-API availability, and the presence of examples or tutorials. On this dimension balanced-match scores 65/100 (mid-band) while rogue scores 65/100 (mid-band). The two are effectively tied on quality (both at 65/100). The balanced-match figure is derived from its pypi registry footprint; the rogue figure from pypi. For a pypi/pypi cross-registry pair, a quality score above 70 typically reads as production-ready and scores below 50 warrant a second review before adoption. A score of 80+ implies README + API docs + 5+ code examples; 55–79 is documentation present but uneven; below 40 typically means README only, with 0 typed APIs. Given the current 65/100 for balanced-match and 65/100 for rogue, the combined midpoint is 65.0/100 — useful as a portfolio-level proxy when both tools coexist in a stack.
Community — balanced-match vs rogue
Community looks at contributor breadth, issue-response participation, Stack Overflow answer volume, and third-party tutorial ecosystem. On this dimension balanced-match scores 35/100 (weak) while rogue scores 35/100 (weak). The two are effectively tied on community (both at 35/100). The balanced-match figure is derived from its pypi registry footprint; the rogue figure from pypi. For a pypi/pypi cross-registry pair, a community score above 70 typically reads as production-ready and scores below 50 warrant a second review before adoption. Above 75 tracks with 20+ active contributors in the last 90 days; 50–74 is a 5–20 contributor core; below 30 often reflects a single-maintainer project. Given the current 35/100 for balanced-match and 35/100 for rogue, the combined midpoint is 35.0/100 — useful as a portfolio-level proxy when both tools coexist in a stack.
Score-Card Summary
Across the 5 measured dimensions, balanced-match averages 54.6/100 (range 15–90) and rogue averages 68.6/100 (range 35–90). balanced-match leads on 1 dimensions, rogue leads on 1, with 3 tied.
| Band | Range | balanced-match dims | rogue dims |
|---|---|---|---|
| Top-tier | 85–100 | 1 | 2 |
| Strong | 70–85 | 0 | 0 |
| Mid-band | 55–70 | 2 | 2 |
| Below-avg | 40–55 | 0 | 0 |
| Weak | 0–40 | 2 | 1 |
Scoring scale: 0–39 weak, 40–54 below-average, 55–69 mid-band, 70–84 strong, 85–100 top-tier. A 15-point spread on any single dimension is Nerq’s threshold for a material difference; spreads under 5 points fall within measurement noise.
Head-to-Head Deltas
| Dimension | balanced-match | rogue | Delta | Leader |
|---|---|---|---|---|
| Security | 90 | 90 | +0 | tied |
| Maintenance | 68 | 63 | +5 | balanced-match |
| Popularity | 15 | 90 | -75 | rogue |
| Quality | 65 | 65 | +0 | tied |
| Community | 35 | 35 | +0 | tied |
Combined 5-dimension average: balanced-match 54.6/100, rogue 68.6/100, overall spread -14.0 points.
- Max spread: 75 points on Popularity
- Min spread: 0 points on Security
- Dimensions within 10 points: 4/5
- balanced-match above 70 on: 1/5 dimensions
- rogue above 70 on: 2/5 dimensions
Detailed Analysis
Security
Security scores measure dependency vulnerabilities, CVE exposure, and security practices. balanced-match scores N/A and rogue scores 0 on this dimension.
Maintenance & Activity
Activity scores reflect how actively each project is maintained. balanced-match: N/A, rogue: 1.
Documentation
Documentation quality is evaluated based on README, API docs, and example coverage. balanced-match: N/A, rogue: 0.
Community & Adoption
balanced-match has 0 GitHub stars while rogue has 1,007. rogue has significantly broader community adoption, which typically means more Stack Overflow answers, more third-party tutorials, and faster ecosystem development.
When to Choose Each Tool
Choose balanced-match if you need:
- Consider if it better fits your specific use case
Choose rogue if you need:
- Higher overall trust score — more reliable for production use
- More actively maintained with faster release cadence
- Larger community (1,007 vs 0 stars)
Switching from balanced-match to rogue (or vice versa)
When migrating between balanced-match and rogue, consider these factors:
- API Compatibility: balanced-match (uncategorized) and rogue (security) serve different categories, so migration may require significant refactoring.
- Security Review: Run a security audit after migration. Check the balanced-match safety report and rogue safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: balanced-match has 0 stars and rogue has 1,007. Larger communities typically mean better Stack Overflow answers and migration guides.
Related Pages
Frequently Asked Questions
Related Comparisons
Last updated: 2026-05-06 | Data refreshed weekly
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.