Transparency · Last updated May 2026

Score methodology

The BizOps Score is a composite 0–100 signal measuring how useful, active, and maintainable an open-source business tool is right now. Every number is computed from public GitHub data. No editorial subjectivity. No paid placements.

Why a score

Stars lie. Health doesn't.

GitHub stars are a vanity metric. A tool with 50k stars and zero commits in 18 months is a liability waiting to happen. A tool with 800 stars, daily commits, and a four-hour issue response time is a hidden gem your competitors haven't found yet.

The BizOps Score combines six signals to capture current health and momentum — not historical hype. Every score is recomputed weekly from fresh GitHub data.

The formula

Six signals, one number.

All raw signals are normalised to [0, 1] within each weekly batch using min-max scaling. Scores are relative — a tool is ranked against its peers discovered that week.

Signal Weight What it measures
stars_norm ×0.20 Total GitHub stars, normalised against batch. Proxy for community trust and longevity.
fork_velocity ×0.20 New forks in the last 30 days, normalised. Measures active adoption momentum.
commit_recency ×0.25 Exponential decay from last commit date. 1.0 today → 0.5 at 21 days → near 0 at 90 days. Highest weight — an unmaintained tool is an operational risk.
issue_response ×0.15 Exponential decay from average hours to first issue response. Measures maintainer responsiveness.
ci_status ×0.10 1.0 if the latest CI run passes; 0.3 if failing or absent. Measures build health.
contributors_norm ×0.10 Total contributor count, normalised. A larger contributor base means lower bus-factor risk.

Final score = sum of weighted signals × 100, rounded to nearest integer.

Note on normalisation: Because scores are min-max normalised within each weekly batch, the same tool can score differently week-to-week as new tools enter or leave. The trend_direction field (rising / stable / falling) tracks whether a score improved by more than 3 points versus the previous run — giving you directionality independent of the absolute number.
Example calculation

nocodb, this week.

nocodb Top-ranked this week
stars_norm × 0.20
0.20
fork_velocity × 0.20
0.20
commit_recency × 0.25
0.24
issue_response × 0.15
0.13
ci_status × 0.10
0.10
contributors × 0.10
0.10
BizOps Score 97
Limitations

What the score doesn't measure.

The BizOps Score measures project health and momentum — not product quality. It does not evaluate UI/UX design, documentation quality, feature completeness, pricing of hosted versions, or suitability for your specific context.

Always read the README and run a demo before adopting any tool in production. The score tells you a tool is alive and loved — your team tells you if it's right for you.

Data sources

Public data only. Always.

All data is fetched from the GitHub REST API v3 using public endpoints only. The bot runs daily via GitHub Actions. Data is cached in trending.json and refreshed every 6 hours. No scraped data. No third-party enrichment providers. No editorial decisions.

Change log

Version history.

May 2026
v1.0Initial formula published. Six signals, weights as documented above.
Contribute

Suggest an improvement.

If you believe a signal is missing or a weight is miscalibrated, reply to any newsletter edition with your suggestion and supporting data. Significant changes to the formula will be documented here with a version bump. We take methodology seriously — it's the only thing standing between you and a ranked list of abandoned repos.