Automattic/mongoose

MongoDB object modeling designed to work in an asynchronous environment.

2
Hotness score
87
Reliability score
27,479
Stars
over 16 years
Age
0
Published reviews
0
Questions

Scores

Hotness and reliability

The two headline scores, measured daily, with 30, 90, and 180 day views.

Hotness score

Jul 19, 2026

Current2

Previous2

Weekly average

100500
Full metrics details

Derived only from GitHub GraphQL starredAt events after daily star totals are reconciled.

180 observed daily rows. Missing days are not fabricated.

Hotness formula

40% Hot today + 40% Hot this week + 20% Breakout.

  • 40% Hot today: 1
  • 40% Hot this week: 6
  • 20% Breakout: 1
  • Stars gained: 1d: 0
  • Stars gained: 7d: 1
  • Stars gained: 14d: 0
  • Stars gained: 30d: 0
  • Stars gained: 90d: 78

Per-day formula: 0.40 × Hot today + 0.40 × Hot week + 0.20 × Breakout.

  • Same-day multiplier = stars 1d ÷ max(1, stars 7d ÷ 7)
  • Weekly multiplier = stars 7d ÷ max(1, stars 30d ÷ 30 × 7)
  • Fortnight multiplier = stars 14d ÷ max(1, stars 90d ÷ 90 × 14)
  • Hot today = clamp(70 × log-scale(stars 1d, 1000) + 30 × breakout-scale(same-day, 4))
  • Hot week = clamp(75 × log-scale(stars 7d, 5000) + 25 × breakout-scale(weekly, 3))
  • Breakout = clamp(35 × breakout-scale(same-day, 4) + 40 × breakout-scale(weekly, 3) + 25 × breakout-scale(fortnight, 2.5))
DateStarsStars 1dStars 7dStars 14dStars 30dStars 90dSame-day multiplierWeekly multiplierFortnight multiplierHot todayHot weekBreakoutStored score

Reliability score

Jul 19, 2026

Current87

Previous88

Weekly average

100500
Full metrics details

Derived from the displayed continuity, closure, shipping, liveness, and support-burden components.

180 observed daily rows. Missing days are not fabricated.

Reliability formula

30% Continuity + 30% Closure + 20% Shipping + 10% Liveness + 10% Support burden.

  • 30% Continuity: 74
  • 30% Closure: 85
  • 20% Shipping: 100
  • 10% Liveness: 100
  • 10% Support burden: 87

Per-day formula: 0.30 × Continuity + 0.30 × Closure + 0.20 × Shipping + 0.10 × Liveness + 0.10 × Support burden.

  • Continuity = 35% active ratio 90d + 20% active ratio 30d + 15% PR efficiency 90d + 10% PR efficiency 30d + 10% liveness + 10% observed-history coverage
  • Closure = 55% PR merge efficiency 90d + 45% issue close efficiency 90d
  • Shipping = 100 × (20% × release ratio 30d + 30% × release ratio 90d + 50% × release ratio 180d); ratios are releases ÷ 2, 6, and 12, capped at 1
  • Support burden = 100 − 2 × open issues per 1,000 stars
  • Liveness = 100 × exp(−pushed days ago ÷ 120)

Stars, issues, pull requests, and releases are daily observations. Pushed-days and license are repository snapshot-derived inputs and are not independent historical GitHub events.

DateIssues openedIssues closedPRs openedPRs mergedReleasesStarsOpen issuesPushed days agoContinuityClosureShippingLivenessSupport burdenLicenseObserved daysMissing daysNeeds healingStored score

Reliability breakdown

What drives the reliability score

Component scores measured daily from GitHub activity (2026-07-18).

Continuity30% of headline74

Activity on 67 of 90 tracked days in the last 90 and 22 of 30 in the last 30.

Closure30% of headline85

Merged 93 of 126 PRs opened and closed 40 of 35 issues opened over the last 90 tracked days — PR flow carries 55% of this component, issue flow 45%.

Shipping20% of headline100

32 releases in the last 180 days, 14 in the last 90 and 6 in the last 30 — a steady cadence scores highest.

Liveness10% of headline100

Last push 1 days ago — freshness decays as pushes age (roughly halves every 83 days without a push).

Support burden10% of headline87

173 open issues against 27,479 stars — about 6 open issues per 1,000 stars. Lighter backlogs score higher.

Adoption confidence100

Modeled — how confidently teams are adopting this repo. Stargazers

Maintenance quality86

Modeled from PR/issue responsiveness and upkeep signals. Activity pulse

Risk score9

Modeled — lower is better; adoption and continuity risk. Repository

Stays active (30d)74%

Modeled chance the repo stays active over 30 days. Activity pulse

Stays active (90d)86%

Modeled chance the repo stays active over 90 days. Activity pulse

Release rhythm (180d)100

Regularity of releases over the last 180 days. Releases

Maintainer bus risk (90d)26%

Modeled — lower is better; concentration of commits in few maintainers. Contributors graph

Topics

Explore related topics

Jump into the topic listings this repository belongs to.

Measured history

Project metrics

Weekly GitHub totals with 30, 90, and 180 day views.

Weekly star gains

Jul 19, 2026

Current0

Previous0

Weekly star gains

35-43-122
Full metrics details

GitHub GraphQL current stargazer cohort, reconstructed from starredAt events and totalCount retrieved in one stable pagination walk. GitHub does not expose historical unstar events, so this is not an exact ledger of past star counts.

180 observed daily rows. Missing days are not fabricated.

DateValue

Cumulative stars

Jul 19, 2026

Current27,479

Previous27,479

Cumulative total

27,48413,7420
Full metrics details

Running total of the GitHub GraphQL stargazer count over time (not weekly deltas), reconstructed from starredAt events and totalCount in one stable pagination walk. GitHub does not expose historical unstar events, so this is not an exact ledger of past star counts.

180 observed daily rows. Missing days are not fabricated.

DateValue

Issues opened

Jul 12, 2026

Current11

Previous1

Weekly total

1160
Full metrics details

GitHub API observation. Historical values render only when the source provides a real observation for that day.

178 observed daily rows. Missing days are not fabricated.

DateValue

Issues closed

Jul 12, 2026

Current3

Previous1

Weekly total

950
Full metrics details

GitHub Search issue totals queried for exact UTC days; rolling values are sums of proven daily counts.

178 observed daily rows. Missing days are not fabricated.

DateValue

Pull requests opened

Jul 12, 2026

Current10

Previous15

Weekly total

45230
Full metrics details

GitHub API observation. Historical values render only when the source provides a real observation for that day.

178 observed daily rows. Missing days are not fabricated.

DateValue

Pull requests closed

Jul 12, 2026

Current9

Previous13

Weekly total

42210
Full metrics details

GitHub Search pull-request totals queried for exact UTC days; rolling values are sums of proven daily counts.

178 observed daily rows. Missing days are not fabricated.

DateValue

Pull requests merged

Jul 12, 2026

Current8

Previous10

Weekly total

23120
Full metrics details

GitHub API observation. Historical values render only when the source provides a real observation for that day.

178 observed daily rows. Missing days are not fabricated.

DateValue

Issue close ratio (daily)

Jul 10, 2026

Current2.00

Previous0.00

Daily ratio — a gap means nothing was opened that day

How this works: each day's value is issues closed that day ÷ issues opened that day. Days when nothing was opened render as gaps — never a rolling average or a made-up zero. Values above 1 mean the project closed more issues than arrived that day.

5.002.500.00
Full metrics details

GitHub Search issue totals queried for exact UTC days; rolling values are sums of proven daily counts.

60 observed daily rows. Missing days are not fabricated.

Per-day formula: issues closed that day ÷ issues opened that day; blank when nothing was opened (a gap, not a zero).

DateIssues openedIssues closedStored score

Pull request close ratio (daily)

Jul 17, 2026

Current0.00

Previous0.60

Daily ratio — a gap means nothing was opened that day

How this works: each day's value is pull requests closed that day ÷ pull requests opened that day. Days when nothing was opened render as gaps — never a rolling average or a made-up zero. Values above 1 mean the project closed more pull requests than arrived that day.

9.004.500.00
Full metrics details

GitHub Search pull-request totals queried for exact UTC days; rolling values are sums of proven daily counts.

114 observed daily rows. Missing days are not fabricated.

Per-day formula: pull requests closed that day ÷ pull requests opened that day; blank when nothing was opened (a gap, not a zero).

DatePRs openedPRs closedStored score

Releases

Jul 19, 2026

Current0

Previous2

Weekly total

420
Full metrics details

GitHub release published_at events bucketed by UTC day; drafts are excluded.

180 observed daily rows. Missing days are not fabricated.

DateValue

About Mongoose

Mongoose is an object data modeling library for MongoDB in Node.js. It provides schemas, model definitions, validation rules, middleware hooks, and query helpers for managing document data in application code. Mongoose is commonly used in Express backends, REST and GraphQL services, and full-stack JavaScript projects built on MongoDB.

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