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vuetifyjs/vuetify

πŸ‰ Vue Component Framework

21
Hotness score
85
Reliability score
41,013
Stars
almost 10 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

Current21

Previous7

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: 43
  • 20% Breakout: 40
  • Stars gained: 1d: 0
  • Stars gained: 7d: 7
  • Stars gained: 14d: 4
  • Stars gained: 30d: 7
  • Stars gained: 90d: 25

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

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

Reliability score

Jul 19, 2026

Current85

Previous84

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: 76
  • 30% Closure: 79
  • 20% Shipping: 100
  • 10% Liveness: 100
  • 10% Support burden: 82

Per-day formula: 0.30 Γ— Continuity + 0.30 Γ— Closure + 0.20 Γ— Shipping + 0.10 Γ— Liveness + 0.10 Γ— 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 Γ— (20% Γ— release ratio 30d + 30% Γ— release ratio 90d + 50% Γ— release ratio 180d); ratios are releases Γ· 2, 6, and 12, capped at 1
  • Support burden = 100 βˆ’ 2 Γ— open issues per 1,000 stars
  • Liveness = 100 Γ— exp(βˆ’pushed days ago Γ· 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 headline76

Activity on 79 of 90 tracked days in the last 90 and 24 of 30 in the last 30.

Activity pulse
Closure30% of headline79

Merged 70 of 113 PRs opened and closed 153 of 84 issues opened over the last 90 tracked days β€” PR flow carries 55% of this component, issue flow 45%.

PRs merged (90d)PRs opened (90d)Issues closed (90d)Issues opened (90d)
Shipping20% of headline100

35 releases in the last 180 days, 17 in the last 90 and 5 in the last 30 β€” a steady cadence scores highest.

Releases
Liveness10% of headline100

Last push 2 days ago β€” freshness decays as pushes age (roughly halves every 83 days without a push).

Repository
Support burden10% of headline82

377 open issues against 41,013 stars β€” about 9 open issues per 1,000 stars. Lighter backlogs score higher.

Open issuesStargazers
Adoption confidence100

Modeled β€” how confidently teams are adopting this repo. Stargazers

Maintenance quality85

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

Risk score13

Modeled β€” lower is better; adoption and continuity risk. Repository

Stays active (30d)81%

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

Stays active (90d)87%

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)21%

Modeled β€” lower is better; concentration of commits in few maintainers. Contributors graph

Topics

Explore related topics

Jump into the topic listings this repository belongs to.

JavascriptMaterial DesignSass Variables

Measured history

Project metrics

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

Issues opened

Jul 12, 2026

Current8

Previous10

Weekly total

1580
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

Current10

Previous12

Weekly total

43220
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

Current6

Previous8

Weekly total

29150
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

Current5

Previous21

Weekly total

35180
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

Current1

Previous10

Weekly total

1680
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 18, 2026

Current0.00

Previous4.00

Daily ratio β€” a gap means nothing was opened that day

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

16.008.000.00
Full metrics details

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

102 observed daily rows. Missing days are not fabricated.

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

DateIssues openedIssues closedStored score

Pull request close ratio (daily)

Jul 18, 2026

Current0.00

Previous0.50

Daily ratio β€” a gap means nothing was opened that day

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

20.0010.000.00
Full metrics details

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

117 observed daily rows. Missing days are not fabricated.

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

DatePRs openedPRs closedStored score

Releases

Jul 19, 2026

Current2

Previous1

Weekly total

320
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 Vuetify

Vuetify is a Vue component framework that provides a large set of Material Design based UI components and layout utilities. It supplies ready-made elements such as data tables, forms, navigation, and theming tools integrated with Vue. It is commonly used to build single-page applications, internal tools, and desktop-like web interfaces.

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