Best Feature Management Software

Wrap a feature in a flag, ship the code, and decide later who sees it. The same flag can hold a different state in each environment, so nothing has to be redeployed to change behaviour in production. Targeting capabilities include boolean flags, multivariate flags, remote config values, identities with traits, segments built from rules on those traits, and percentage rollouts for canary releases. For evaluation, Flagsmith supports server-side SDKs run in local evaluation mode, resolving flags in-process with no network call per check. The Edge API serves client and mobile SDKs from the nearest geographical region. Offline mode covers environments with no outbound connectivity. 15+ open source SDKs, including TypeScript, Python, Java, C#, Go, Ruby, PHP, Swift, Kotlin and Flutter. Governance features include audit logs, role-based access control, change requests with approvals, scheduled changes, SAML SSO and SCIM provisioning. Automation is possible using the REST API, Terra

Userback is the leading user feedback and bug tracking solution for software teams looking to understand users and build better products. With Userback, you can collect metadata-enriched visual feedback and gain deep insights into your user's sentiment and behavior with in-app surveys like NPS, CES, and CSAT metrics. Add deep context to any piece of feedback via full session replay features. Create user segments and track every user from the moment they log in. Survey only the cohorts that are important to you and understand your user experiences throughout the entire lifecycle from trial to churn. Wrap it all up with branded feature portals, and public roadmaps, and a centralized location for all your feedback to reduce feedback overhead by 70% and increase feedback closure times by 10X. No code? No problem. Start instantly with a code-free browser extension, perfect for internal QA and bug tracking.

LaunchDarkly is the runtime control platform for the AI era. It includes two solutions: CodeControl and AgentControl. CodeControl helps teams ship AI-generated code safely with feature flags, progressive rollouts, observability, Experimentation, and automatic recovery—so they can move fast without losing control. AgentControl helps teams manage AI agents in production by configuring prompts and models, monitoring behavior, and taking action in real time without redeploying. Together, they help teams ship AI-built software with confidence, reduce risk, optimize AI performance and cost, and adapt continuously.

Flagship.io is a feature flagging platform for modern engineering and product teams that eliminates the risks of future releases by separating code deployments from these releases. With Flagship, you can accelerate development cycles and ship anywhere anytime, even on Friday nights. With Flagship, we push the concept of feature flags to the next level giving you full control over the release process. With Flagship, you can: - Switch features on or off through remote config. - Separate code deployments from future releases, allowing engineering teams to deploy code at their pace while enabling product teams to release these features when they’re ready. - Automatically roll-out your features gradually to monitor performance in line with their associated KPIs and gather feedback from your most relevant users. - Roll back any feature should any issues arise while testing in production while your team analyzes the problem. - Segment users by granting access to a feature

In a world where product development teams are pressured to do more with less, Split’s Feature Data Platform™ gives you the confidence to move fast without breaking things. Set up feature flags and safely deploy to production, controlling who sees which features and when. Connect every flag to contextual data, so you know if your features are making things better or worse, and act without hesitation. Effortlessly conduct feature experiments like A/B tests without slowing down. Split is a feature management platform that takes the extra step with experts to support you, online courses to help you learn as you go, and a developer-oriented culture that puts our customers at the center. Whether you’re looking to increase your releases, to decrease your MTTR, or to ignite your dev team without burning them out–Change the way the work gets done with Split. Switch on a free account today, schedule a demo to learn more, or contact us for further questions.

Founded in 2012, Octopus Deploy enables successful deployments for over 25,000 companies around the world. Prior to Octopus Deploy, release orchestration and DevOps automation tools were clunky, limited to large enterprises and didn't deliver what they promised. Octopus Deploy was the first release automation tool to gain popular adoption by software teams, and we continue to invent new ways for Dev & Ops teams to automate releases and deliver working software to production. Runbook automation in Octopus sits side-by-side with your deployments and gives you control over your infrastructure and applications. Automate operations tasks like routine maintenance and emergency incident recovery. Flexible, role-based access control lets you manage who can deploy to production, change your deployment process, infrastructure, and more.

We help companies in every industry to accelerate their software development processes. Our clearly arranged feature flag solution allows you to switch your features on and off at any time. Use it for User Targeting, A/B Testing, Canary Releases, Experimenting and everything else you can think of.

DevCycle is the leading feature management platform that combines the benefits of OpenFeature and continuous delivery. Open Source Flexibility + SaaS Simplicity: DevCycle is the only platform where OpenFeature is built-in to its SDKs and fully committed to the open standards community with open source SDKs and APIs. This flexibility is combined with DevCycle’s edge architecture and local bucketing to provide teams high scalability and low latency partnered with enterprise-level security and compliance guarantees. Total Observability Into Your Feature Flags: Teams have complete visibility into all their features across their organization. DevCycle observability integrations help track, monitor and diagnose feature flag usage while developer integrations and tooling give full control and visibility into feature flags within code. Customized Release Strategies: Teams can choose their preferred feature release strategies with advanced tools for gradual and percentage based rollout

Harness is an AI-native software delivery platform that helps engineering teams achieve excellence by automating and streamlining the entire software delivery lifecycle. It enables continuous integration, continuous delivery, and GitOps for multi-cloud, multi-region deployments with increased speed and reliability. Harness simplifies infrastructure as code, database DevOps, and artifact management to improve collaboration and reduce errors. The platform offers AI-powered testing, incident response, chaos engineering, and feature management to enhance quality and resilience. Harness also provides cloud cost management, security testing orchestration, and developer insights to optimize performance and governance. Trusted by leading enterprises, Harness accelerates innovation while reducing manual effort and risk.

Delivering a proven digital experience to each customer, across every channel, in real time. Whether you’re a hardcore coder or a marketing pro, Conductrics V3 is loaded with great features to enable data-driven content selection, anywhere you need it. Our Conductrics Express solution gives marketers to freedom and power to create new visitor experiences, while ensuring IT has the ability to steward these experiences safely and efficently within your tech stack. Make edits right on your page. Change headlines and other text, adjust CTAs, upload alternate images, insert HTML fragments, and more. Use our browser extension to edit and preview without needing anyone to add scripts to your site, you only need to add our scripts to go live. Enable machine learning, adjust random weights, and set up include/exclude or targeting rules. Set up MVT tests, or mark variations as mutually exclusive.