Looking for a Split Alternative?
Core feature flagging, without an enterprise experimentation platform.
FlagPilot gives startups and small teams feature flags, rollouts, and targeting at a flat, published price — no experimentation suite required.
JavaScript
Node.js
React
Next.js
Python
RubyMCP SupportMost feature flag platforms were designed for enterprise engineering organizations — built around governance workflows, approval chains, and permission structures that assume dozens of teams sharing one flag system.
FlagPilot was built for startups, solo developers, and small teams that simply want to release features safely. No complicated governance. No lengthy onboarding. No sales process.
Just create a flag and ship.
Why consider FlagPilot
See it in action
Gradual Rollout
35%Specify the percentage of traffic that evaluates to true. Evaluations use sticky hashing based on user IDs.
Target Users (Private Beta Access)
Give specific users early access before gradually rolling out the feature to everyone.
SDK Health
SDK ActiveReal-time Analytics
EVALUATIONS TODAY1,280Integrate in under five minutes.
import { FlagPilot } from '@flagpilot/javascript';
const client = new FlagPilot({
clientKey: 'fk_client_xxxxxxxx',
environment: 'production'
});
await client.initialize();
const isEnabled = client.evaluate('new-landing-page', {
userId: 'usr_visitor_123'
});
if (isEnabled) {
showNewFeatures();
}Any programming language can fetch and evaluate flags via HTTP using our standard REST API.
The buying decision
- Best for
- Solo developers and small engineering teams
- Pricing model
- Flat monthly tiers, published upfront
- Free tier
- Yes — $0/mo, no credit card required
- Setup time
- Minutes, self-serve
- Sales required
- No
- Best for
- Large engineering orgs running statistical experimentation
- Pricing model
- Custom / contact sales
- Free tier
- Not publicly confirmed as a permanent free plan
- Setup time
- Often involves a sales or demo process
- Sales required
- Typically yes for paid plans
Feature comparison
Based on publicly documented features as of this writing. Competitor pricing and features can change — verify directly with Split for the latest details.
| Feature | FlagPilot | Split |
|---|---|---|
| Feature Flags | ✓ | ✓ |
| Percentage Rollouts | ✓ | ✓ |
| User Targeting | ✓ | ✓ |
| Kill Switches | ✓ | ✓ |
| REST API | ✓ | ✓ |
| CLI | ✓ | Limited |
| SDK Support | JS, Node, React, Next.js, Python, Ruby | Broad multi-language SDK support |
| MCP Support | ✓ | Not publicly documented |
| Dead Flag Detection | ✓ | Offers impact/monitoring dashboards, not specifically dead-flag alerts |
| AI Assistance | MCP server for AI coding assistants | Not publicly documented |
| Self Hosting | ✗ (managed SaaS) | Not publicly documented as self-hostable |
What you get
Kill Switches
Disable a buggy feature instantly without redeploying.
Percentage Rollouts
Release to 5% of users before rolling out globally.
User Targeting
Beta test with selected customers before launch.
Feature Flags
Merge and ship code continuously, then turn features on when you're ready.
Instant Updates
Change a flag from the dashboard and connected apps pick it up without a deploy.
Migrating from Split
The evaluation model, rollout concepts, and targeting rules are similar enough that most teams change very little application code.
# Install the SDK Add the FlagPilot SDK for your language alongside your existing Split SDK — no need to remove anything yet. # Replace initialization Swap the client constructor for FlagPilot's, using your project's API key. The evaluate() call shape stays conceptually the same. # Re-create your flags Create matching flag keys in FlagPilot's dashboard, REST API, or CLI. There is no automated import from Split today. # Deploy and verify Ship the change behind your existing flag keys, confirm evaluations show up in the dashboard, then remove the old SDK. ✓ Done — you're live on FlagPilot
Creating flags is only half the problem
Every feature flag you create is a small piece of technical debt until it's removed. Most platforms help you create flags. FlagPilot also helps you find the ones you forgot about.
Every flag records when it was first and last evaluated, so you can see which ones are actually being used in production.
Flags that haven't been evaluated recently, or have been stuck at 100%/0% for a long time, are automatically surfaced for review.
Catch forgotten flags before they turn into "why is this still here six months later" bugs.
Ask an MCP-connected AI assistant to list stale flags or find flags that no longer appear in your codebase.
Frequently Asked Questions
Comparing other feature flag tools
Ready to simplify feature management?
Start shipping features safely in under a minute.