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Featurevisor

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What Featurevisor is

Featurevisor is a free, MIT-licensed tool for managing feature flags, experiments, and remote configuration through YAML in a Git repository. Teams build environment-specific datafiles, deploy them, and evaluate features with an SDK. Rules can target users in order, roll out a percentage of traffic, or assign weighted experiment variations. Typed global and feature variables support defaults and targeted overrides, with schemas checked during datafile builds. Applications retrieve static JSON datafiles and evaluate flags locally in memory, avoiding a network request for each decision. The customer serves datafiles from its own CDN, so no vendor sits in the request path. YAML test specifications can assert expected behavior locally or in CI; failed assertions return a non-zero exit. Git pull requests and CI linting, tests, and builds provide change control, and production values can be traced to commits, reviewers, and builds. Documentation covers SDKs across languages and frameworks, optional OpenFeature providers, CI/CD guides, and connecting weighted experiments to an existing analytics tool.

Who it suits

Featurevisor suits teams that want Git-based control of flags, experiments, and configuration, with local evaluation and self-hosted deployment. It may also fit teams that want to test expected feature behavior in CI.

What it does well

  • Free, self-hosted, and MIT-licensed.
  • Local flag evaluation needs no per-decision network request.
  • Supports ordered targeting and percentage rollouts.
  • YAML tests can run locally or in CI.
  • Production values are traceable to commits and builds.

What to know first

  • Teams serve datafiles from their own CDN.
  • The product is self-hosted.
  • No vendor-hosted evaluation service is provided.

Plans

PlanBilled and limitsPrice
FeaturevisorFree to use · Open-source project · self-hosted Git workflow · no paid tier statedFree

As featurevisor.com lists them, read 14 Oct 2026. The maker's own page has the final word.

Getting started

  1. Visit the Featurevisor website.
  2. Define feature management data in YAML in a Git repository.
  3. Build datafiles for the environments you use.
  4. Deploy the datafiles to your own CDN.
  5. Use a documented SDK to evaluate features in your application.

Featurevisor is built for software teams that want to manage flags, experiments and configuration alongside code. It is a strong fit when Git review and local evaluation matter more than a vendor-managed control plane.

Overview

Teams define feature settings in YAML, build environment-specific datafiles and deploy them for SDKs to evaluate. Ordered targeting rules, percentage rollouts and weighted experiment variations cover gradual releases and testing; typed variables add defaults and targeted overrides. Build-time schema validation helps catch configuration errors before they reach an application.

Applications fetch static JSON datafiles and evaluate features locally in memory, avoiding a network request for every decision. Serving those files from a customer-owned CDN keeps a vendor out of the request path and avoids a hosted evaluation service to keep alive. The trade-off is clear: teams own the datafile build and delivery workflow, so Featurevisor is less suitable for buyers who want a managed service.

Key features

  • Git change control: Pull requests and CI linting, tests and builds put feature changes through the same review process as code. Production values can be attributed to commits, reviewers and builds, which helps teams that need a traceable release history.
  • Local tests: YAML test specifications assert expected behavior locally or in CI. Failed assertions return a non-zero exit, making the checks useful as a deployment gate rather than just a manual aid.
  • SDKs and integrations: SDKs cover JavaScript, Node.js, browsers, Go, Python, PHP, Ruby, Java, Kotlin, Swift, Rust and Elixir, alongside framework guides and optional OpenFeature providers. CI/CD guides cover GitHub Actions, GitHub Pages, Cloudflare Pages and PartyKit.
  • Experiments and analytics: Weighted variations support A/B and multivariate experiments, which can connect to a team's existing analytics tool; a Google Analytics tracking guide is included. Teams choose their analytics stack rather than relying on a named built-in analytics service.

Pricing

The Featurevisor plan costs free. It is self-hosted, has no per-seat pricing and is MIT-licensed. That makes it a practical option for teams that can operate their own deployment path and want to avoid seat-based fees or a paid evaluation service. Its cost advantage comes with infrastructure responsibility: the team builds and serves datafiles from its own CDN.

Platforms

Featurevisor is listed for Android, API, iOS, Linux, macOS, self-hosted, web and Windows. The SDK languages include JavaScript, Node.js, browsers, React, React Native, Go, Python, PHP, Ruby, Java, Swift and Next.js. This broad coverage helps teams working across different application stacks, though the self-hosted delivery model still needs to fit their operational setup.

Who it's for

Featurevisor suits engineering teams that already use Git and CI for change review and can own datafile deployment. It is particularly relevant for progressive delivery, testing in production, trunk-based development, remote configuration and microfrontends. Teams seeking a centrally managed service or unwilling to maintain their own delivery infrastructure should consider another approach.

Pros and cons

  • Pro: Local in-memory evaluation avoids a network request per decision and removes a vendor service from the application request path.
  • Pro: Git pull requests, CI checks and YAML tests make changes reviewable and failures detectable before deployment.
  • Pro: The free, MIT-licensed, self-hosted plan has no per-seat pricing.
  • Con: Teams must build environment datafiles and serve them from their own CDN, adding operational ownership in place of managed delivery.
  • Con: Its Git- and YAML-centered workflow is a poor match for teams that want feature management without engineering-led configuration.

Alternatives

Flagsmith is worth considering for teams seeking a freemium product with a free trial and open-source core feature flag functionality under a BSD-3 licence for most of the product.

GO Feature Flag is another free option for teams wanting an open-source plan on their own infrastructure, with unlimited feature flags and community support.

ConfigCat may suit teams who prefer a freemium option with a Forever Free plan capped at 10 flags, 2 environments and 2 products, plus monthly config-download and network-traffic limits.

feat offers a free plan with 7,500 MAU, 100 server connections, 2 projects, unlimited environments and flags; it may fit teams whose usage fits those stated caps.

Featureflow is an alternative for teams looking for a free-forever tier with no credit card, up to 5 seats, 1 project, 2 environments and 1M SDK requests per month, plus a free trial.

Flipt is another freemium choice for teams drawn to an open-source, Git-native workflow with Git sync and a UI.

Bucketeer may appeal to teams seeking a free, open-source self-hosted option without per-seat pricing.

DevCycle is a freemium alternative for teams whose needs fit its free plan's client-side MAU and cloud and server config request caps.

Browse more options in Feature Flag Software.

Verdict

Choose Featurevisor if your team wants feature management governed through Git, local evaluation and a free self-hosted model. Its strongest reason to choose it is the combination of reviewed configuration changes and a vendor-free request path; look elsewhere if you want someone else to operate the datafile delivery workflow.

Verdict

Featurevisor offers a Git-centered workflow for feature management with local evaluation and testing. Its self-hosted model and customer-managed CDN are important considerations for teams choosing how to deploy it.

Questions

How much does Featurevisor cost?

The Featurevisor plan is listed as free. It has no per-seat pricing.

Is Featurevisor open source?

The project is MIT-licensed.

How does feature evaluation work?

Applications fetch static JSON datafiles and evaluate flags locally in memory, without a network request for each decision.

Which SDKs are available?

The documentation lists SDKs for languages including JavaScript, Node.js, Go, Python, PHP, Ruby, Java, Kotlin, Swift, Rust and Elixir, along with framework guides and optional OpenFeature providers.

Can teams test feature behavior in CI?

Yes. YAML test specifications can assert expected behavior locally or in CI; failed assertions return a non-zero exit.

Who makes Featurevisor?

The site says Featurevisor is built by Fahad Heylaal.

Facts from Featurevisor's own pages

Analytics
Weighted experiments can connect to whichever analytics tool the customer already uses, and the docs include a Google Analytics tracking guide. · featurevisor.com, 4 Oct 2026
Catalog tool
The CLI can generate a searchable read-only Catalog showing definitions, relationships, tests and Git history. · featurevisor.com, 14 Oct 2026
CI/CD integrations
The docs include CI/CD guides for GitHub Actions, GitHub Pages, Cloudflare Pages and PartyKit. · featurevisor.com, 4 Oct 2026
Cloudflare integration
The documentation provides GitHub Actions workflows that lint, test, build and upload datafiles to Cloudflare Pages. · featurevisor.com, 14 Oct 2026
Company affiliation
GitNation identifies Fahad Heylaal as Featurevisor’s creator and lists DAZN in the Netherlands as his company affiliation. · gitnation.com, 14 Oct 2026
Configuration
Typed global and feature variables support defaults and targeted overrides, with schemas validated when datafiles are built. · featurevisor.com, 4 Oct 2026
Deployment
Datafiles are served from the customer’s own CDN, with no vendor in the request path. · featurevisor.com, 4 Oct 2026
Deployment model
The generated datafiles can be hosted on any CDN or static file service chosen by the customer. · featurevisor.com, 14 Oct 2026
Documentation depth
The documentation covers concepts, quick start, attributes, segments, features, variables, targets, projects, configuration, linting, building, testing, deployment and SDKs. · featurevisor.com, 14 Oct 2026
Environment handling
Definitions can contain separate environment rules, while Sets provide independent project trees that can be promoted between stages. · featurevisor.com, 14 Oct 2026
Evaluation
Applications fetch static JSON datafiles and evaluate flags locally in memory without a network request for each decision. · featurevisor.com, 4 Oct 2026
Experiments
Features can define weighted string variations for A/B and multivariate experiments. · featurevisor.com, 14 Oct 2026
Extensibility
Featurevisor has a Plugins API for extending CLI functionality. · featurevisor.com, 14 Oct 2026
Feature controls
Features support ordered targeting rules, percentage rollouts and weighted variations for experiments. · featurevisor.com, 4 Oct 2026
Feature flags
Boolean flags use ordered targeting rules whose first matching rule determines the result. · featurevisor.com, 14 Oct 2026
Founded
The project’s first public v0.1 announcement is dated March 5, 2023. · featurevisor.com, 14 Oct 2026
GitOps workflow
Changes are made through pull requests, CI linting and tests, datafile builds, and deployment to a customer-controlled CDN. · featurevisor.com, 14 Oct 2026
Licence
The GitHub repository is publicly marked as MIT licensed. · github.com, 14 Oct 2026
License and maker
The site identifies the project as MIT-licensed and says it is built by Fahad Heylaal. · featurevisor.com, 4 Oct 2026
Limit: migration tooling
The FAQ states that Featurevisor does not yet provide an import migration tool for features and experiments from another service. · featurevisor.com, 14 Oct 2026
Limit: no editing dashboard
The FAQ says feature changes are made in YAML or JSON files in Git and that there is no UI for managing them. · featurevisor.com, 14 Oct 2026
Limit: no public OpenAPI
The Headless Index reports that it found no published OpenAPI specification and therefore could not compute its JAIRF rating. · headless-systems.com, 14 Oct 2026
Limit: operational responsibility
Independent analysis notes that teams must build and deploy static datafiles themselves and operate the self-hosted workflow. · runany.dev, 14 Oct 2026
Limit: public transparency
SaaS Ranking reports a 0/100 transparency score and says it found no public pricing, DPA, subprocessor list, named certifications or uptime SLA at checked addresses. · saas-ranking.com, 14 Oct 2026

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