Typia for Runtime Type Safety

Runtime validation and serialization for JavaScript projects that want stronger type-driven guarantees.

Hotness score

Reliability score

5,857

Stars

over 4 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: 21
40% Hot this week: 19
20% Breakout: 15
Stars gained: 1d: 2
Stars gained: 7d: 6
Stars gained: 14d: 11
Stars gained: 30d: 22
Stars gained: 90d: 136

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: 79
30% Closure: 94
20% Shipping: 100
10% Liveness: 100
10% Support burden: 98

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 headline79

Activity on 66 of 90 tracked days in the last 90 and 21 of 30 in the last 30.

Activity pulse

Closure30% of headline94

Merged 237 of 269 PRs opened and closed 185 of 142 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

13 releases in the last 180 days, 7 in the last 90 and 5 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 headline98

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

Open issues Stargazers

Adoption confidence100

Modeled — how confidently teams are adopting this repo. Stargazers

Maintenance quality93

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

Risk score3

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

Stays active (30d)88%

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

Stays active (90d)92%

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

Protobuf

Weekly star gains

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.

Date	Value

Cumulative total

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.

Date	Value

Weekly total

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.

Date	Value

Weekly total

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.

Date	Value

Weekly total

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.

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.

178 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.

178 observed daily rows. Missing days are not fabricated.

Date	Value

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.

Full metrics details

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

34 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).

Date	Issues opened	Issues closed	Stored score

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.

Full metrics details

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

99 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).

Date	PRs opened	PRs closed	Stored score

Weekly total

Full metrics details

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

180 observed daily rows. Missing days are not fabricated.

Date	Value

About Typia

Typia targets a common gap in JavaScript applications: static types do not automatically guarantee runtime safety. It approaches that problem by generating validation and serialization logic through transformation, aiming to reduce manual schema work while keeping performance high. That makes it relevant for API layers, data pipelines, and internal services where incoming and outgoing data must be checked reliably. Teams that want tighter alignment between declared types and runtime behavior often look at tools in this category to reduce duplication and drift.

Write a review Ask a question Write a post

Q&A No threads yet

Be the first to ask how teams run typia 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 typia — 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 Web Development and JavaScript world.

No Spam. Unsubscribe easily at any time.

Privacy | About | Terms | Follow Us On Twitter

Typia for Runtime Type Safety

Hotness and reliability

Hotness score

Hotness formula

Reliability score

Reliability formula

What drives the reliability score

Explore related topics

Project metrics

Weekly star gains

Cumulative stars

Issues opened

Issues closed

Pull requests opened

Pull requests closed

Pull requests merged

Issue close ratio (daily)

Pull request close ratio (daily)

Releases

About Typia

Reviews · Questions · Posts

Write or update your review

Questions and answers

Posts tagged with the same topics