ALMOST

A weekend of work, and real gaps remain.

Feature flags with measurement attached: a flag rollout is treated as an experiment, with metrics, significance and automatic alerts if a treatment makes something worse.

Promptfree, for everyone, and the only version there is
Build me feature flags with local evaluation and an honest measurement story.

STACK
- Node service, SQLite for definitions, a CDN-cached JSON snapshot for delivery
- Client SDK evaluates locally; no network call per flag check, ever

THE FLAG
- Key, default, and a list of rules: match by attribute, or by percentage bucket
- Bucketing by a murmur hash of key plus subject id, so a subject stays in the same bucket across releases and across services
- Every change appended to an audit table: who, when, before, after

DELIVERY
- The whole ruleset published as one JSON document to object storage on every change
- SDKs poll with an ETag, and fall back to the last good snapshot if the fetch fails
- A flag must resolve to its default when everything is unreachable

EXPOSURE EVENTS
- Log an event the first time a subject is exposed to a treatment, not on every evaluation
- Batch and send asynchronously; a dropped exposure must never block the request

MEASUREMENT, WHERE PEOPLE FOOL THEMSELVES
- Join exposures to your own metrics table by subject id
- Report the difference with a confidence interval, not a p-value, and refuse to declare a winner before a preset sample size
- Write the minimum detectable effect in the README, so nobody reads noise as a result

Include a README on the hashing scheme, the snapshot cadence and the stopping rule.

What you lose

  • Feature flags joined to metrics, so a rollout is measured rather than watched
  • Statistical significance computed properly, including sequential testing
  • Automatic alerting when a treatment degrades a guardrail metric
  • SDKs for a dozen languages with local evaluation and no network in the hot path
  • Audit trails a regulated team can show an auditor

If you would rather not build

  • Flagsmith — open-source flags and remote config

The escape hatch

open source · no votes, no paid placement

Unleash

$0

Feature flag server with gradual rollouts, segments and SDKs for most languages.

Unleash/unleashfree · open source

GrowthBook

$0

Feature flags with experiment analysis run against your own warehouse.

growthbook/growthbookfree · open source

Why this verdict

our own opinion · changed only by a person

47/100

Verdict kinda at 47: flags with stable bucketing and local evaluation are a weekend. Measurement is where this gets its score capped — the statistics are easy to write and easy to get wrong, and the prompt spends its last section refusing to let you peek.

History

tracked since 9 Aug 2026 · nothing is ever overwritten

Interest · last 30 dayspeak 1/day
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Questions about Split

answered from the record above

Is Split free?

No — the plan we track is $33 a month. Team plans start around $33 per seat per month billed annually; usage is metered on monthly tracked keys, and enterprise is quoted.

Can you replace Split by building your own?

ALMOST. A weekend of work, and real gaps remain. Replacement score 47 out of 100, build time a weekend. Read what you lose before you decide.

How much does Split cost?

$33 a month on Team — $396 a year. Recorded 9 Aug 2026.

What do you lose by replacing Split?

Feature flags joined to metrics, so a rollout is measured rather than watched; Statistical significance computed properly, including sequential testing; Automatic alerting when a treatment degrades a guardrail metric; SDKs for a dozen languages with local evaluation and no network in the hot path; Audit trails a regulated team can show an auditor. If any of those carry weight for you, keep paying.

Is there an open-source alternative to Split?

Yes: Unleash, GrowthBook. The prompt on this page is for when you want it your way instead.

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