๐Ÿ“ Transparency

How the BizOps Score works

Every tool in our directory is scored 0โ€“100 using 9 publicly verifiable GitHub signals. No paid placements. No editorial bias. No guesswork โ€” just data, refreshed every 24 hours.

Updated daily at 06:00 UTC via GitHub API
On this page
01 ยท Overview

What is the BizOps Score?

The BizOps Score is a composite 0โ€“100 health indicator for open-source business software. It answers a simple question: is this project safe to bet your business on?

A high score means the project is actively maintained, has a healthy contributor base, responds to issues, ships releases, and shows no signs of stagnation. A low score is an early warning โ€” the project may be abandoned, slow, or struggling to attract contributors.

The score is purely GitHub-derived. We don't factor in commercial relationships, newsletter subscriptions, or any form of payment. A $10M-funded startup with a bad GitHub score gets a bad score. A solo developer with an excellent commit history gets a great score.

02 ยท The signals

9 signals, all from GitHub API

Every signal is fetched directly from the GitHub REST API. All data is publicly available โ€” you can verify any score yourself using GitHub's API.

1
โญ
GitHub Stars
Weight: 15%

Community adoption proxy. Stars indicate that real developers have found the project useful enough to bookmark.

Max score at 50,000+ stars ยท Scored logarithmically
2
๐Ÿด
Fork Count
Weight: 10%

Forks indicate developers are actively building on or studying the code โ€” a stronger signal than stars.

Max score at 10,000+ forks ยท Scored logarithmically
3
๐Ÿ’พ
Recent Commits (30d)
Weight: 20%

The most important activity signal. Projects with no recent commits are likely abandoned. We count commits to the default branch in the last 30 days.

Max score at 50+ commits/30d ยท Zero commits = 0 on this signal
4
๐Ÿ‘ท
Contributor Count
Weight: 12%

Single-maintainer projects are high-risk โ€” one person burning out kills the project. More contributors = more resilient.

Max score at 50+ contributors ยท Bus factor considered
5
๐Ÿ›
Issue Response Time
Weight: 15%

Median time for maintainers to first respond to new issues. Slow response time suggests an overloaded or disengaged team.

Max score at <2 days median ยท 0 score at >30 days
6
๐Ÿ”€
PR Merge Time
Weight: 10%

How quickly the team reviews and merges community pull requests. A key indicator of developer experience and community health.

Max score at <7 days ยท 0 score at >60 days
7
๐Ÿš€
Release Recency
Weight: 8%

How many days since the last tagged release. Frequent releases signal an active project that ships fixes and features.

Max score at release within 14 days ยท 0 at >180 days
8
๐Ÿงช
CI/CD Pipeline Active
Weight: 5%

Whether the project has active GitHub Actions or CI configuration. Projects without CI have higher defect risk.

Binary: CI present = full points, absent = 0
9
๐Ÿ“‹
Open Issue Ratio
Weight: 5%

Ratio of open to total issues. A very high ratio may indicate maintainers are overwhelmed. Context-sensitive โ€” larger projects naturally have more open issues.

Scored relative to project size ยท Ratio < 0.3 scores best
03 ยท Formula

The calculation

Each of the 9 signals is normalised to a 0โ€“1 scale, then multiplied by its weight, then summed to produce a raw score. The raw score is scaled to 0โ€“100 and rounded to the nearest integer.

BizOps Score = round(
  (stars_norm ร— 0.15) +
  (forks_norm ร— 0.10) +
  (commits_30d_norm ร— 0.20) +  โ† highest weight
  (contributors_norm ร— 0.12) +
  (issue_response_norm ร— 0.15) +
  (pr_merge_norm ร— 0.10) +
  (release_recency_norm ร— 0.08) +
  (ci_active ร— 0.05) +
  (issue_ratio_norm ร— 0.05)
) ร— 100

Normalisation uses log-scale for count-based signals (stars, forks, commits) to avoid extreme outliers dominating the score. Activity signals (response time, PR merge time) use an inverse-log scale โ€” lower time = higher score.

04 ยท Score bands

What each range means

70โ€“100
Excellent

Actively maintained, healthy community, fast responses. Safe to build on.

50โ€“69
Good

Solid project with some gaps. Evaluate individual signals before committing.

30โ€“49
Average

Active but showing strain โ€” slow responses, infrequent releases, or thin contributor base.

0โ€“29
Watch List

Signs of stagnation or abandonment. Proceed with caution and check alternatives.

05 ยท Trend direction

How we calculate trend

Each tool is assigned a trend direction based on its score change over the previous 14 days. A tool is Rising if its score increased by 3+ points; Falling if it dropped by 3+ points; New if it joined the directory within 30 days; and Stable otherwise.

โ†‘
Rising

Score increased 3+ points in 14 days โ€” activity accelerating

โ†’
Stable

Score within ยฑ2 points over 14 days โ€” consistent activity

โ†“
Falling

Score dropped 3+ points in 14 days โ€” watch closely

โ˜…
New

Joined the BizOpsTool directory within the last 30 days

06 ยท Examples

Real scores from our directory

These are actual scores from our latest daily run. Updated 06:00 UTC today.

Tool Category Score Stars Commits/30d Verdict
nanobot Automation 80 43.3k ~65 Excellent โ€” high activity, strong community
zeroclaw AI/ML 77 31.6k ~48 Excellent โ€” momentum is strong
drydock Analytics/BI 67 197 ~22 Good โ€” low stars but high activity rate
Twenty CRM 62 151 ~15 Good โ€” early stage but active
n8n Automation 56 62k ~30 Good โ€” large, established, slightly slower
07 ยท FAQ

Frequently asked questions

Can a high-star project have a low BizOps Score?
Yes โ€” and this is intentional. A project with 100k stars but no commits in 6 months scores poorly because commit activity (weight 20%) and release recency (8%) will drag the score down. Stars alone are not a health signal.
Can I get my tool added to the directory?
Our bot discovers tools automatically by searching GitHub topics. If your tool is on GitHub with relevant topic tags (bizops, crm, automation, analytics, etc.) it will be picked up within 1โ€“3 days. You can also email us to request a manual review.
Can I pay to improve my tool's score?
No. The score is computed entirely from public GitHub data. We cannot and will not manually adjust scores. The only way to improve your score is to improve your project โ€” more commits, faster responses, more contributors.
What if my project is in maintenance mode but still reliable?
A mature, stable project might score in the 40โ€“60 range โ€” low commit frequency, but issues are closed, CI is active, and releases happen quarterly. We plan to add a "Maintenance Mode" badge for projects that explicitly declare they're feature-complete. Contact us if this applies to your project.
How often is data refreshed?
All 9 signals are re-fetched via GitHub API once per day at 06:00 UTC. The GitHub Actions workflow is open-source โ€” you can verify the refresh schedule yourself.
Are there plans to add non-GitHub signals?
Yes. We're evaluating adding: npm/PyPI download counts, Docker Hub pulls, Discourse/community forum activity, and security audit results. These would be additional signals on top of the existing 9, not replacements.
See the scores in action โ€” browse all 181 tools

Every tool is scored, categorised, and ranked. Filter by category, sort by score, or let our AI grade your current stack.