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Statsig vs LaunchDarkly
Trust Score comparison · March 2026
VS
Trust Score Δ
72
🏆 LaunchDarkly wins
Signal Comparison
85k/wkWeekly npm downloads680k/wk
130GitHub commits (90d)220
1.1kGitHub stars2.8k
400Stack Overflow questions6k
GrowingCommunity healthEnterprise
StatsigLaunchDarkly
Key Differences
| Factor | Statsig | LaunchDarkly |
|---|---|---|
| License | Proprietary | Proprietary |
| Language | TypeScript / Python | TypeScript / Python |
| Hosted | Self-hosted | Yes |
| Free tier | — | — |
| Open Source | — | — |
| TypeScript | — | ✓ |
Pick Statsig if…
- Running A/B experiments and wanting automated statistical significance
- Combining feature flags with product analytics in one tool
- Teams wanting a more affordable LaunchDarkly alternative
Pick LaunchDarkly if…
- Gradual feature rollouts to % of users or specific segments
- A/B testing and experimentation at scale
- You need instant flag evaluation without redeploying
Side-by-side Quick Start
Statsig
import Statsig from 'statsig-js';
await Statsig.initialize(process.env.STATSIG_CLIENT_KEY!, {
userID: 'user_123',
email: 'user@example.com',
});
// Check a feature flag
const showNewUI = Statsig.checkGate('new_dashboard_ui');
// Get an experiment variant
const experiment = Statsig.getExperiment('checkout_flow');
const buttonColor = experiment.get('button_color', 'blue');
console.log('New UI:', showNewUI, 'Button:', buttonColor);LaunchDarkly
import * as ld from '@launchdarkly/node-server-sdk';
const client = ld.init(process.env.LAUNCHDARKLY_SDK_KEY!);
await client.waitForInitialization();
const context = { kind: 'user', key: 'user-123', email: 'alice@example.com' };
const showNewFeature = await client.variation('new-checkout-flow', context, false);
if (showNewFeature) {
// Render new checkout
} else {
// Render old checkout
}Community Verdict
Based on upvoted notes🏆
LaunchDarkly wins this comparison
Trust Score 82 vs 10 · 72-point difference
LaunchDarkly leads on Trust Score with stronger signal data across downloads and community health. That said, the other tool is worth considering if your use case matches its specific strengths above.