Project Overview
OkHttp is a production-focused HTTP client from Square for JVM, Android, and GraalVM workloads. You use it when you need reliable HTTP/1.1 and HTTP/2 behavior, connection reuse, TLS support, request/response interception, and predictable timeout controls in one library. The source repository is GitHub, and the official API and usage docs live at square.github.io/okhttp.
You get a low-level client that stays close to HTTP mechanics while still giving you practical conveniences like pooled connections, transparent compression support, and a composable interceptor model. That makes it suitable for mobile API calls, JVM service-to-service calls, and custom SDK integrations where you need deterministic request behavior.
If you want batteries-included API interface generation, you usually pair OkHttp with another layer such as Retrofit rather than replacing OkHttp itself.
Key Challenges Addressed
You run into recurring HTTP client pain when you scale beyond simple one-off requests.
- Managing socket reuse and connection lifetime without leaking resources.
- Applying consistent auth, headers, logging, retries, and tracing across many call sites.
- Handling TLS configuration and certificate decisions in a centralized way.
- Preventing hung calls with connect/read/write/call timeout boundaries.
- Supporting synchronous and asynchronous execution styles with cancellation.
OkHttp addresses these through a shared OkHttpClient instance, configurable interceptors, explicit timeout APIs, call cancellation, and built-in protocol/runtime behaviors exposed through stable APIs.
Getting Started
You can start quickly with Maven or Gradle coordinates from the official docs and run one blocking call before adding async flows.
# Gradle (Kotlin DSL)
implementation("com.squareup.okhttp3:okhttp:<version>")
import okhttp3.OkHttpClient;
import okhttp3.Request;
import okhttp3.Response;
OkHttpClient client = new OkHttpClient();
Request request = new Request.Builder()
.url("https://httpbin.org/get")
.build();
try (Response response = client.newCall(request).execute()) {
if (response.body() != null) {
System.out.println(response.body().string());
}
}
Sharp edges you should address immediately:
- Reuse one
OkHttpClientinstead of creating one per request. - Set explicit timeout values for your network profile.
- Close response bodies in all paths.
- Keep interceptor ordering intentional, especially for auth and logging.
Features and Use Cases
OkHttp gives you primitives you can combine for multiple application shapes.
- Android API access: You can centralize auth headers, retry policy, and request tracing in interceptors.
- JVM microservice calls: You can tune timeouts and connection behavior for internal APIs with stable latency expectations.
- SDK transport layer: You can expose a high-level SDK while keeping HTTP details in one reusable client core.
- Streaming and large payload handling: You can read/write bodies as streams instead of loading everything in memory.
You also get first-class integration points with companion tooling in the same ecosystem, including Retrofit and the MockWebServer test utility from the OkHttp project family.
Ecosystem and Dependencies
OkHttp is commonly used as the transport layer under higher-level abstractions.
- Retrofit: You define interfaces and serialization strategy while OkHttp handles transport.
- Kotlin coroutines or Java executors: You manage concurrency model outside the client and keep transport concerns separate.
- Observability integrations: You add tracing/logging through interceptors without rewriting request call sites.
This model lets you keep HTTP mechanics centralized while your application code stays focused on domain workflows.
Architectural Overview
OkHttp centers on a configured, immutable client object that produces per-request Call objects. Each call runs through an interceptor chain, where each interceptor can inspect, transform, or short-circuit requests and responses. Connection pooling and protocol handling sit below that chain, so you get efficient network usage without repeating setup logic per request.
The design matters operationally because you can:
- Enforce consistent network policy in one place.
- Audit transport behavior by reviewing interceptor and client configuration.
- Change timeout/TLS/retry behavior with minimal call-site churn.
- Keep test boundaries clear by isolating transport in a dedicated layer.
For upgrades, you can pin and validate one client dependency path, then roll forward after regression testing interceptors and timeout-sensitive flows.
Pros and Cons
- Pros: Mature API surface, clear documentation, strong Android/JVM fit, flexible interceptor model, straightforward integration with higher-level clients.
- Pros: Shared-client architecture maps cleanly to production reliability practices.
- Cons: You still own higher-level concerns like schema mapping and endpoint contracts unless you pair another library.
- Cons: Misconfigured interceptors or per-call client instantiation can create subtle runtime issues.
- Cons: Advanced TLS/proxy behavior needs careful environment-specific testing.
Comparison and Alternatives
GitHub stars
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.
Okhttp
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 |
|---|
Apache HttpClient
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.
42 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Ktor
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.
41 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Retrofit
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 |
|---|
Fuel
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.
38 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Netty
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 |
|---|
Issues opened
Weekly total
Full metrics details
GitHub API observation. Historical values render only when the source provides a real observation for that day.
Okhttp
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 |
|---|
Retrofit
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 |
|---|
Netty
GitHub API observation. Historical values render only when the source provides a real observation for that day.
131 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Issues closed
Weekly total
Full metrics details
GitHub Search issue totals queried for exact UTC days; rolling values are sums of proven daily counts.
Okhttp
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 |
|---|
Retrofit
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 |
|---|
Netty
GitHub Search issue totals queried for exact UTC days; rolling values are sums of proven daily counts.
131 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Pull requests opened
Weekly total
Full metrics details
GitHub API observation. Historical values render only when the source provides a real observation for that day.
Okhttp
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 |
|---|
Retrofit
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 |
|---|
Netty
GitHub API observation. Historical values render only when the source provides a real observation for that day.
131 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Pull requests closed
Weekly total
Full metrics details
GitHub Search pull-request totals queried for exact UTC days; rolling values are sums of proven daily counts.
Okhttp
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 |
|---|
Retrofit
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 |
|---|
Netty
GitHub Search pull-request totals queried for exact UTC days; rolling values are sums of proven daily counts.
131 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Pull requests merged
Weekly total
Full metrics details
GitHub API observation. Historical values render only when the source provides a real observation for that day.
Okhttp
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 |
|---|
Retrofit
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 |
|---|
Netty
GitHub API observation. Historical values render only when the source provides a real observation for that day.
131 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Open/closed pull request ratio
Weekly average
Full metrics details
GitHub Search pull-request totals queried for exact UTC days; rolling values are sums of proven daily counts.
Okhttp
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 |
|---|
Apache HttpClient
GitHub Search pull-request totals queried for exact UTC days; rolling values are sums of proven daily counts.
42 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Ktor
GitHub Search pull-request totals queried for exact UTC days; rolling values are sums of proven daily counts.
41 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Retrofit
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 |
|---|
Fuel
GitHub Search pull-request totals queried for exact UTC days; rolling values are sums of proven daily counts.
38 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Netty
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 |
|---|
Open/closed issues ratio
Weekly average
Full metrics details
GitHub Search issue totals queried for exact UTC days; rolling values are sums of proven daily counts.
Okhttp
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 |
|---|
Apache HttpClient
GitHub Search issue totals queried for exact UTC days; rolling values are sums of proven daily counts.
42 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Ktor
GitHub Search issue totals queried for exact UTC days; rolling values are sums of proven daily counts.
41 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Retrofit
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 |
|---|
Fuel
GitHub Search issue totals queried for exact UTC days; rolling values are sums of proven daily counts.
38 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Netty
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 |
|---|
Releases
Weekly total
Full metrics details
GitHub release published_at events bucketed by UTC day; drafts are excluded.
Okhttp
GitHub release published_at events bucketed by UTC day; drafts are excluded.
180 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Apache HttpClient
GitHub release published_at events bucketed by UTC day; drafts are excluded.
42 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Ktor
GitHub release published_at events bucketed by UTC day; drafts are excluded.
41 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Retrofit
GitHub release published_at events bucketed by UTC day; drafts are excluded.
180 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Fuel
GitHub release published_at events bucketed by UTC day; drafts are excluded.
38 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Netty
GitHub release published_at events bucketed by UTC day; drafts are excluded.
180 observed daily rows. Missing days are not fabricated.
| Date | Value |
|---|
Hotness score
Weekly average
Full metrics details
Derived only from GitHub GraphQL starredAt events after daily star totals are reconciled.
Okhttp
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 |
|---|
Apache HttpClient
Derived only from GitHub GraphQL starredAt events after daily star totals are reconciled.
42 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 |
|---|
Ktor
Derived only from GitHub GraphQL starredAt events after daily star totals are reconciled.
41 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 |
|---|
Retrofit
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 |
|---|
Fuel
Derived only from GitHub GraphQL starredAt events after daily star totals are reconciled.
38 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 |
|---|
Netty
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 |
|---|
Reliability score
Weekly average
Full metrics details
Derived from the displayed continuity, closure, shipping, liveness, and support-burden components.
Okhttp
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 |
|---|
Apache HttpClient
Derived from the displayed continuity, closure, shipping, liveness, and support-burden components.
42 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 |
|---|
Ktor
Derived from the displayed continuity, closure, shipping, liveness, and support-burden components.
41 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 |
|---|
Retrofit
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 |
|---|
Fuel
Derived from the displayed continuity, closure, shipping, liveness, and support-burden components.
38 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 |
|---|
Netty
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 want alternatives, focus on transport depth, ecosystem maturity, and how much abstraction you want above raw HTTP calls.
| Project | Repo | Adoption confidence (~6mo) | PRs merged (~6mo) | Star growth (~6mo) |
|---|---|---|---|---|
| OkHttp | https://github.com/square/okhttp | metrics pending | 0 | metrics pending |
| Apache HttpClient | https://github.com/apache/httpcomponents-client | metrics pending | 0 | metrics pending |
| Ktor | https://github.com/ktorio/ktor | metrics pending | 0 | metrics pending |
| Retrofit | https://github.com/square/retrofit | 68.50 | 279 | 896 |
| Fuel | https://github.com/kittinunf/fuel | metrics pending | 0 | metrics pending |
| Netty | https://github.com/netty/netty | metrics pending | 0 | 0 |
You should pick Apache HttpClient as the best overall alternative when you want a direct, mature JVM HTTP client substitute with long-running ecosystem stability and broad integration familiarity.
Conclusion
OkHttp is strongest when you need dependable JVM/Android HTTP transport with explicit operational control over timeouts, TLS, connection reuse, and request interception. You trade away high-level API abstraction unless you layer companion tooling, but you gain a transport core that stays predictable in production. You can track implementation details and updates directly in the repository, work from the official docs, and follow ongoing discussion through GitHub issues.