vuejs/core

🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

53,998

Stars

about 8 years

Age

Published reviews

Questions

Continuity30% of headline79

Activity on 80 of 90 tracked days in the last 90 and 25 of 30 in the last 30.

Activity pulse

Closure30% of headline84

Merged 193 of 269 PRs opened and closed 119 of 44 issues opened over the last 90 tracked days — 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

27 releases in the last 180 days, 15 in the last 90 and 4 in the last 30 — a steady cadence scores highest.

Releases

Liveness10% of headline100

Last push 0 days ago — freshness decays as pushes age (roughly halves every 83 days without a push).

Repository

Support burden10% of headline79

566 open issues against 53,998 stars — about 10 open issues per 1,000 stars. Lighter backlogs score higher.

Open issues Stargazers

Adoption confidence100

Modeled — how confidently teams are adopting this repo. Stargazers

Maintenance quality88

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

Risk score12

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

Stays active (30d)84%

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

Stays active (90d)91%

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)16%

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

1) Project Overview

Vue is the core repository for the Vue 3 framework, focused on building interactive web interfaces with a reactive data model and component-based structure. You use it when your team wants a framework that stays approachable for small screens and scales into larger frontends without forcing a single architectural style.

In practice, you get a runtime, a template compiler, and APIs such as the Composition API. You can start with simple component rendering and progressively add routing, state patterns, SSR, or static generation through companion tooling.

If your team needs strict long-term predictability, Vue core is mature and actively maintained, but you still need to standardize conventions early so features do not drift across components.

2) Key Challenges Addressed

You usually run into a few recurring frontend problems: state updates spreading unpredictably, component logic becoming hard to reuse, and rendering performance degrading as screens grow.

Vue’s reactivity system tracks dependencies and updates only the affected UI paths.
Composition API lets your team package logic into composables so behavior stays reusable across components.
Computed values and watchers let you separate derived state from side effects.
Template compilation and runtime patching reduce manual DOM work while preserving control where needed.

You also avoid heavy boilerplate for many common screens, which lowers friction when your team iterates quickly.

3) Getting Started

You can scaffold a Vue app with the official create flow, then build a first interactive screen with the vue package.

npm create vue@latest
cd your-app
npm install
npm run dev

A minimal component-state pattern in JavaScript looks like this:

import { createApp, ref } from 'vue'

const App = {
  setup() {
    const count = ref(0)
    function increment() {
      count.value += 1
    }
    return { count, increment }
  }
}

createApp(App).mount('#app')

Sharp edges you should plan for immediately:

Decide early between Options API and Composition API as your default style.
Define one state strategy for cross-component data before feature count grows.
Lock linting and formatting conventions so composables and components stay uniform.

4) Features and Use Cases

Vue core supports a broad set of product patterns when your team needs progressive complexity.

Reactive forms and dashboards with computed state and watchers.
Component libraries with props, emits, slots, and scoped styling patterns.
Content-heavy pages with hydration or SSR through ecosystem tooling.
Incremental adoption in existing pages where you mount Vue on selected DOM islands.

For UI composition, single-file components keep template, logic, and style close together, while composables keep shared behavior modular.

5) Ecosystem and Dependencies

Vue core plugs into a strong toolchain. You often pair it with Vite for local development and builds, Vue Router for route state, and Pinia for store patterns. For SSR or full-stack patterns, Nuxt is a common path.

What your team gains from this ecosystem is operational consistency: fast local feedback loops, standard conventions for routing and state, and a clear migration path from SPA to SSR when product requirements change.

6) Architectural Overview

Vue core is organized around renderer internals, a reactive dependency-tracking system, and compile-time optimizations for templates. Your components declare state and UI shape, and the runtime coordinates updates through tracked dependencies.

Key design implications for your team:

Performance: dependency tracking reduces unnecessary re-renders when state changes.
Extensibility: composables and plugin patterns keep cross-cutting concerns modular.
Operability: SSR and hydration paths let you tune time-to-content and runtime interactivity.
Upgrades: a stable core API and migration tooling reduce risk when you move across minor versions.

7) Pros and Cons

Pro: Fast onboarding for teams that want readable templates and gradual complexity.
Pro: Strong balance between ergonomic APIs and runtime performance.
Pro: Clear ecosystem around routing, state, and modern build tooling.
Con: Style divergence appears quickly if your team does not standardize API usage.
Con: Large codebases still need disciplined architectural boundaries; framework defaults alone do not enforce them.
Con: SSR and advanced rendering paths add operational complexity that needs early ownership.

8) Comparison and Alternatives

Measured 90-day trends for this project and its alternatives.

Weekly star gains

Core React Angular Svelte Preact Solid

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.

Core

180 observed daily rows. Missing days are not fabricated.

Date	Value

React

180 observed daily rows. Missing days are not fabricated.

Date	Value

Angular

180 observed daily rows. Missing days are not fabricated.

Date	Value

Svelte

180 observed daily rows. Missing days are not fabricated.

Date	Value

Preact

180 observed daily rows. Missing days are not fabricated.

Date	Value

Solid

180 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly total

Core React Angular Svelte Preact Solid

Full metrics details

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

Core

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

React

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Angular

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Svelte

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Preact

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Solid

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly total

Core React Angular Svelte Preact Solid

Full metrics details

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

Core

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

React

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Angular

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Svelte

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Preact

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Solid

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly total

Core React Angular Svelte Preact Solid

Full metrics details

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

Core

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

React

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Angular

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Svelte

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Preact

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Solid

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly total

Core React Angular Svelte Preact Solid

Full metrics details

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

Core

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

React

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Angular

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Svelte

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Preact

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Solid

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly total

Core React Angular Svelte Preact Solid

Full metrics details

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

Core

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

React

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Angular

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Svelte

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Preact

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Solid

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

175 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly average

Core React Angular Svelte Preact Solid

Full metrics details

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

Core

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

React

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Angular

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Svelte

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Preact

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Solid

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly average

Core React Angular Svelte Preact Solid

Full metrics details

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

Core

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

React

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Angular

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Svelte

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Preact

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Solid

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly total

Core React Angular Svelte Preact Solid

Full metrics details

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

Core

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

React

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Angular

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Svelte

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Preact

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Solid

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly average

Core React Angular Svelte Preact Solid

Full metrics details

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

Core

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

180 observed daily rows. Missing days are not fabricated.

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))

Date	Stars	Stars 1d	Stars 7d	Stars 14d	Stars 30d	Stars 90d	Same-day multiplier	Weekly multiplier	Fortnight multiplier	Hot today	Hot week	Breakout	Stored score

React

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

180 observed daily rows. Missing days are not fabricated.

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))

Date	Stars	Stars 1d	Stars 7d	Stars 14d	Stars 30d	Stars 90d	Same-day multiplier	Weekly multiplier	Fortnight multiplier	Hot today	Hot week	Breakout	Stored score

Angular

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

180 observed daily rows. Missing days are not fabricated.

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))

Date	Stars	Stars 1d	Stars 7d	Stars 14d	Stars 30d	Stars 90d	Same-day multiplier	Weekly multiplier	Fortnight multiplier	Hot today	Hot week	Breakout	Stored score

Svelte

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

180 observed daily rows. Missing days are not fabricated.

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))

Date	Stars	Stars 1d	Stars 7d	Stars 14d	Stars 30d	Stars 90d	Same-day multiplier	Weekly multiplier	Fortnight multiplier	Hot today	Hot week	Breakout	Stored score

Preact

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

180 observed daily rows. Missing days are not fabricated.

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))

Date	Stars	Stars 1d	Stars 7d	Stars 14d	Stars 30d	Stars 90d	Same-day multiplier	Weekly multiplier	Fortnight multiplier	Hot today	Hot week	Breakout	Stored score

Solid

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

180 observed daily rows. Missing days are not fabricated.

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))

Date	Stars	Stars 1d	Stars 7d	Stars 14d	Stars 30d	Stars 90d	Same-day multiplier	Weekly multiplier	Fortnight multiplier	Hot today	Hot week	Breakout	Stored score

Weekly average

Core React Angular Svelte Preact Solid

Full metrics details

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

Core

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

180 observed daily rows. Missing days are not fabricated.

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.

Date	Issues opened	Issues closed	PRs opened	PRs merged	Releases	Stars	Open issues	Pushed days ago	Continuity	Closure	Shipping	Liveness	Support burden	License	Observed days	Missing days	Needs healing	Stored score

React

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

180 observed daily rows. Missing days are not fabricated.

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.

Date	Issues opened	Issues closed	PRs opened	PRs merged	Releases	Stars	Open issues	Pushed days ago	Continuity	Closure	Shipping	Liveness	Support burden	License	Observed days	Missing days	Needs healing	Stored score

Angular

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

180 observed daily rows. Missing days are not fabricated.

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.

Date	Issues opened	Issues closed	PRs opened	PRs merged	Releases	Stars	Open issues	Pushed days ago	Continuity	Closure	Shipping	Liveness	Support burden	License	Observed days	Missing days	Needs healing	Stored score

Svelte

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

180 observed daily rows. Missing days are not fabricated.

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.

Date	Issues opened	Issues closed	PRs opened	PRs merged	Releases	Stars	Open issues	Pushed days ago	Continuity	Closure	Shipping	Liveness	Support burden	License	Observed days	Missing days	Needs healing	Stored score

Preact

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

180 observed daily rows. Missing days are not fabricated.

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.

Date	Issues opened	Issues closed	PRs opened	PRs merged	Releases	Stars	Open issues	Pushed days ago	Continuity	Closure	Shipping	Liveness	Support burden	License	Observed days	Missing days	Needs healing	Stored score

Solid

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

180 observed daily rows. Missing days are not fabricated.

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.

Date	Issues opened	Issues closed	PRs opened	PRs merged	Releases	Stars	Open issues	Pushed days ago	Continuity	Closure	Shipping	Liveness	Support burden	License	Observed days	Missing days	Needs healing	Stored score

If you evaluate alternatives, you will most often compare Vue against React, Angular, Svelte, Preact, and Solid.

Project	Repo	Adoption confidence (~6mo)	PRs merged (~6mo)	Star growth (~6mo)
Vue	https://github.com/vuejs/core	metrics pending	0	-30
React	https://github.com/facebook/react	metrics pending	0	1100
Angular	https://github.com/angular/angular	69.95	1844	4372
Svelte	https://github.com/sveltejs/svelte	75.59	984	5643
Preact	https://github.com/preactjs/preact	metrics pending	0	0
Solid	https://github.com/solidjs/solid	metrics pending	0	0

Best overall alternative: React. You get the broadest library surface, mature long-term ecosystem depth, and consistently strong maintenance signals across tools your team may already run.

Conclusion

Vue core is strongest when your team wants a clean path from small interactive views to large applications with reusable logic and predictable state updates. You trade some architectural freedom for the need to enforce conventions early, especially around component patterns and shared state.

Your most important engineering takeaway is to treat conventions as first-class architecture from day one while building on the official repository, documentation, and community discussions for implementation and maintenance decisions.

Write a review Ask a question Write a post

Q&A No threads yet

Be the first to ask how teams run core in production. Every question you post becomes a durable, searchable answer page other developers can find.

Ask the first question

Posts No topic-linked posts yet

Share how your team uses core — a migration note, an architecture writeup, or a comparison. Your post reaches everyone browsing these same topics.

Write the first post

Get a weekly email with the hottest new projects in the Vue Ecosystem and Vue Server Side Rendering & Static Generation world.

No Spam. Unsubscribe easily at any time.

Privacy | About | Terms | Follow Us On Twitter

vuejs/core

What drives the reliability score

1) Project Overview

2) Key Challenges Addressed

3) Getting Started

4) Features and Use Cases

5) Ecosystem and Dependencies

6) Architectural Overview

7) Pros and Cons

8) Comparison and Alternatives

GitHub stars

Core

React

Angular

Svelte

Preact

Solid

Issues opened

Core

React

Angular

Svelte

Preact

Solid

Issues closed

Core

React

Angular

Svelte

Preact

Solid

Pull requests opened

Core

React

Angular

Svelte

Preact

Solid

Pull requests closed

Core

React

Angular

Svelte

Preact

Solid

Pull requests merged

Core

React

Angular

Svelte

Preact

Solid

Open/closed pull request ratio

Core

React

Angular

Svelte

Preact

Solid

Open/closed issues ratio

Core

React

Angular

Svelte

Preact

Solid

Releases

Core

React

Angular

Svelte

Preact

Solid

Hotness score

Core

React

Angular

Svelte

Preact

Solid