enzymejs/enzyme

JavaScript Testing utilities for React

Hotness score

Reliability score

19,825

Stars

over 10 years

Age

Published reviews

Questions

Weekly average

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: 1
20% Breakout: 25
Stars gained: 1d: 0
Stars gained: 7d: 0
Stars gained: 14d: 19825
Stars gained: 30d: 19825
Stars gained: 90d: 19825

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

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: 4
30% Closure: 0
20% Shipping: 0
10% Liveness: 35
10% Support burden: 75

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

Continuity30% of headline4

Activity on 0 of 90 tracked days in the last 90 and 0 of 30 in the last 30.

Activity pulse

Closure30% of headline0

Merged 0 of 0 PRs opened and closed 0 of 0 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 headline0

0 releases in the last 180 days, 0 in the last 90 and 0 in the last 30 — a steady cadence scores highest.

Releases

Liveness10% of headline35

Last push 271 days ago — freshness decays as pushes age (roughly halves every 83 days without a push).

Repository

Support burden10% of headline75

Open-issue load isn't tracked for this repo yet.

Open issues Stargazers

Adoption confidence21

Modeled — how confidently teams are adopting this repo. Stargazers

Maintenance quality14

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

Risk score69

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

Stays active (30d)3%

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

Stays active (90d)13%

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

Release rhythm (180d)0

Regularity of releases over the last 180 days. Releases

Maintainer bus risk (90d)90%

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

Javascript

Weekly total

Full metrics details

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

36 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly total

Full metrics details

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

36 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly total

Full metrics details

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

36 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly total

Full metrics details

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

36 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly total

Full metrics details

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

36 observed daily rows. Missing days are not fabricated.

Date	Value

Project Overview

Enzyme is a React testing utility for component traversal, inspection, and interaction-style assertions.

Install enzyme plus the matching adapter, then configure once in test setup.

Key Challenges Addressed

It helps legacy suites stay readable, but adapter compatibility creates ongoing upgrade risk.

Your team can maintain established wrapper-based React tests while planning gradual migration paths.

Getting Started

Install enzyme plus the matching adapter, then configure once in test setup.

Your team should confirm environment prerequisites and CI runtime alignment before scaling usage.

Features and Use Cases

Your team can maintain established wrapper-based React tests while planning gradual migration paths.

It integrates with Jest, Mocha, and Chai ecosystems and depends heavily on adapter availability.

Ecosystem and Dependencies

It integrates with Jest, Mocha, and Chai ecosystems and depends heavily on adapter availability.

Wrapper APIs operate over rendered component trees, with adapters bridging React-version behavior.

Architectural Overview

Wrapper APIs operate over rendered component trees, with adapters bridging React-version behavior.

Pros are concise traversal in existing suites; cons are adapter bottlenecks and forward-compatibility limits.

Pros and Cons

Pros are concise traversal in existing suites; cons are adapter bottlenecks and forward-compatibility limits.

Your team gets clear strengths and clear operational constraints, so fit depends on your testing scope.

Comparison and Alternatives

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

Weekly star gains

Enzyme Vitest React Cosmos Cypress

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.

Enzyme

180 observed daily rows. Missing days are not fabricated.

Date	Value

Vitest

151 observed daily rows. Missing days are not fabricated.

Date	Value

React Cosmos

180 observed daily rows. Missing days are not fabricated.

Date	Value

Cypress

157 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly total

Enzyme Vitest React Cosmos Cypress

Full metrics details

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

Enzyme

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

36 observed daily rows. Missing days are not fabricated.

Date	Value

Vitest

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

179 observed daily rows. Missing days are not fabricated.

Date	Value

React Cosmos

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

36 observed daily rows. Missing days are not fabricated.

Date	Value

Cypress

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

68 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly total

Enzyme Vitest React Cosmos Cypress

Full metrics details

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

Enzyme

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

36 observed daily rows. Missing days are not fabricated.

Date	Value

Vitest

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

179 observed daily rows. Missing days are not fabricated.

Date	Value

React Cosmos

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

36 observed daily rows. Missing days are not fabricated.

Date	Value

Cypress

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

68 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly total

Enzyme Vitest React Cosmos Cypress

Full metrics details

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

Enzyme

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

36 observed daily rows. Missing days are not fabricated.

Date	Value

Vitest

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

179 observed daily rows. Missing days are not fabricated.

Date	Value

React Cosmos

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

36 observed daily rows. Missing days are not fabricated.

Date	Value

Cypress

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

68 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly total

Enzyme Vitest React Cosmos Cypress

Full metrics details

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

Enzyme

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

36 observed daily rows. Missing days are not fabricated.

Date	Value

Vitest

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

179 observed daily rows. Missing days are not fabricated.

Date	Value

React Cosmos

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

36 observed daily rows. Missing days are not fabricated.

Date	Value

Cypress

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

68 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly total

Enzyme Vitest React Cosmos Cypress

Full metrics details

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

Enzyme

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

36 observed daily rows. Missing days are not fabricated.

Date	Value

Vitest

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

179 observed daily rows. Missing days are not fabricated.

Date	Value

React Cosmos

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

36 observed daily rows. Missing days are not fabricated.

Date	Value

Cypress

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

68 observed daily rows. Missing days are not fabricated.

Date	Value

Weekly average

Enzyme Vitest React Cosmos Cypress

Full metrics details

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

Enzyme

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

Vitest

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 Cosmos

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

Cypress

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

Enzyme Vitest React Cosmos Cypress

Full metrics details

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

Enzyme

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

Vitest

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 Cosmos

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

Cypress

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

Enzyme Vitest React Cosmos Cypress

Full metrics details

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

Enzyme

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Vitest

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

React Cosmos

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

Cypress

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

Enzyme Vitest React Cosmos Cypress

Full metrics details

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

Enzyme

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

Vitest

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 Cosmos

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

Cypress

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

Enzyme Vitest React Cosmos Cypress

Full metrics details

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

Enzyme

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

Vitest

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 Cosmos

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

Cypress

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

Alternatives often considered are Vitest, React Cosmos, and Cypress.

Project	Repo	Adoption confidence (~6mo)	PRs merged (~6mo)	Star growth (~6mo)
Enzyme	https://github.com/enzymejs/enzyme	{{BAR10_ADOPTION_CONFIDENCE_365D:enzymejs/enzyme}} {{ADOPTION_CONFIDENCE_365D:enzymejs/enzyme}}	{{BAR10_PRS_MERGED_365D:enzymejs/enzyme}} {{PRS_MERGED_365D:enzymejs/enzyme}}	{{BAR10_STAR_GROWTH_365D:enzymejs/enzyme}} {{STAR_GROWTH_365D:enzymejs/enzyme}}
Vitest	https://github.com/vitest-dev/vitest	{{BAR10_ADOPTION_CONFIDENCE_365D:vitest-dev/vitest}} {{ADOPTION_CONFIDENCE_365D:vitest-dev/vitest}}	{{BAR10_PRS_MERGED_365D:vitest-dev/vitest}} {{PRS_MERGED_365D:vitest-dev/vitest}}	{{BAR10_STAR_GROWTH_365D:vitest-dev/vitest}} {{STAR_GROWTH_365D:vitest-dev/vitest}}
React Cosmos	https://github.com/react-cosmos/react-cosmos	{{BAR10_ADOPTION_CONFIDENCE_365D:react-cosmos/react-cosmos}} {{ADOPTION_CONFIDENCE_365D:react-cosmos/react-cosmos}}	{{BAR10_PRS_MERGED_365D:react-cosmos/react-cosmos}} {{PRS_MERGED_365D:react-cosmos/react-cosmos}}	{{BAR10_STAR_GROWTH_365D:react-cosmos/react-cosmos}} {{STAR_GROWTH_365D:react-cosmos/react-cosmos}}
Cypress	https://github.com/cypress-io/cypress	{{BAR10_ADOPTION_CONFIDENCE_365D:cypress-io/cypress}} {{ADOPTION_CONFIDENCE_365D:cypress-io/cypress}}	{{BAR10_PRS_MERGED_365D:cypress-io/cypress}} {{PRS_MERGED_365D:cypress-io/cypress}}	{{BAR10_STAR_GROWTH_365D:cypress-io/cypress}} {{STAR_GROWTH_365D:cypress-io/cypress}}

Best overall alternative: Vitest. It offers stronger default breadth for most teams.

Conclusion

Enzyme remains useful for legacy React suites with existing adapter investment. Keep repository, docs, and migration guide.

Write a review Ask a question Write a post

Q&A No threads yet

Be the first to ask how teams run enzyme 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 enzyme — a migration note, an architecture writeup, or a comparison. Your post reaches everyone browsing these same topics.

Write the first post

Privacy | About | Terms | Follow Us On Twitter

enzymejs/enzyme

Hotness and reliability

Hotness score

Hotness formula

Reliability score

Reliability formula

What drives the reliability score

Explore related topics

Project metrics

Issues opened

Issues closed

Pull requests opened

Pull requests closed

Pull requests merged

Project Overview

Key Challenges Addressed

Getting Started

Features and Use Cases

Ecosystem and Dependencies

Architectural Overview

Pros and Cons

Comparison and Alternatives

GitHub stars

Enzyme

Vitest

React Cosmos

Cypress

Issues opened

Enzyme

Vitest

React Cosmos

Cypress

Issues closed

Enzyme

Vitest

React Cosmos

Cypress

Pull requests opened

Enzyme

Vitest

React Cosmos

Cypress

Pull requests closed

Enzyme

Vitest

React Cosmos

Cypress

Pull requests merged

Enzyme

Vitest

React Cosmos

Cypress

Open/closed pull request ratio

Enzyme

Vitest

React Cosmos

Cypress

Open/closed issues ratio

Enzyme

Vitest

React Cosmos

Cypress

Releases

Enzyme

Vitest

React Cosmos

Cypress

Hotness score

Enzyme

Vitest

React Cosmos

Cypress

Reliability score

Enzyme

Vitest

React Cosmos

Cypress

Conclusion

Reviews · Questions · Posts

Write or update your review