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welcome to the eppo docs the eppo docs skip to main content webinar how delivery hero uses switchbacks to drive marketplace innovation watch the recording here login get a demo search getting started about eppo analysis quickstart sdk quickstart contextual bandit quickstart switchback quickstart core concepts flag and experiment configuration data management experiment analysis contextual bandits sdks introduction architecture concepts sdk keys and environments event logging client sdks javascript android dart flutter ios react native server sdks node net php python java go rust ruby elixir datadog integration best practices eppo developer tools chrome extension using eppo sdk with pre forking servers guides introduction marketing integrations engineering tutorials metadata advanced experimentation topics migrations debugging metrics reference statistics administration architecture and security rest api webhooks getting started about eppo on this page welcome to the eppo docs eppo is a composable next generation feature flagging and experimentation platform focused on tightly integrating with your existing tech stack to get started right away check out one of our quickstart guides below otherwise read on to learn more about eppo s approach to experimentation create a feature flag add a kill switch plan a gradual rollout or run an experiment create a metric annotate data in your warehouse and create a metric analyze an experiment measure the impact of a past or running experiment eppo s architecture eppo has two main components a lightweight sdk to control feature rollouts kill switches and advanced experimentation use cases and an analytics platform for experiment analysis and program management these two components fit naturally into your tech stack we have sdks for most modern development frameworks and support a variety of deployment options our warehouse native analysis engine is tightly coupled with your existing data either through our data annotation ui or through our code based semantic framework the eppo sdk eppo s sdk supports feature gating progressive rollouts and randomized experimentation through a simple reusable interface our sdk is designed to be easy to get started with while also providing flexibility for more advanced deployment patterns feature gates and experiments are configured in eppo s ui eppo then turns this into a generalized configuration file and distributes it across our global cdn on initialization this file is downloaded and cached locally either on the user s device or on your server depending on the sdk evaluating which variant a user should see is then done locally within the sdk with no further network requests most sdks will also handle polling for you to ensure the configuration is up to date eppo s sdk does not do any tracking of its own meaning that no user level data passes through eppo s system instead you ll pass in a simple interface to your existing event tracking system in addition to mitigating security risks of using a third party vendor this also simplifies considerations around ad blocking and cookie consent to learn more about eppo s sdk see the sdk docs or check out one of our quickstart guides below client sdks javascript android ios react native dart flutter server sdks node js python java go ruby php rust net elixir the eppo analytics platform eppo processes experiment data within your data warehouse environment this means that no data leaves your system and that you have full visibility into the sql logic used to produce results further eppo will always use the latest logic for core business metrics if this logic or data ever changes eppo can automatically recompute results to account for those changes without you having to update any data pipelines specific to experimentation metrics are added to eppo by pointing eppo at existing data models in your data warehouse this can be a basic select from statement or a more complex sql definition since eppo s analysis engine is built on sql you can be very flexible in defining metrics once you ve annotated your data models into eppo s data model you can craft metrics using either the in app metric builder or in code using eppo s metric yaml standard eppo is designed so that once a data team has annotated tables in their warehouse anyone in the company can use them to plan monitor and analyze experiments this is paired with a comprehensive set of automated diagnostics to ensure that data quality and statistical rigor are both held to a high standard generating an experiment report on eppo involves five steps connect eppo to your data warehouse snowflake redshift bigquery or databricks point eppo at randomization logs from eppo s sdk or your own email marketing system ml models or other surface area on which you experiment map metric data in your warehouse into eppo s entity fact and dimension data model analyze the impact the experiment had on business metrics perform diagnostics deep dive on results and curate learnings in sharable experiment reports to learn more about eppo s analytics platform check out the data management and experiment analysis sections navigating the docs the docs are organized into the following sections getting started start here for basic 10 minute tutorials on using core eppo functionality analysis integration connecting your warehouse adding metrics analyzing experiments sizing experiments defining protocols sdk integration creating a flag launching an experiment advanced use cases launching a contextual bandit running a switchback test core concepts flag and experiment configuration learn the core concepts workflows and use cases for eppo feature flags and how to configure them in the ui as well as details on advanced concepts like targeting mutual exclusion and global holdouts sdks learn about how to install and use eppo s sdks into your environment s as well as more details on the eppo architecture and supported deployment patterns data management learn about eppo s data and metric model how to connect your data warehouse and how to use eppo to manage data governance across experimentation use cases experiment analysis learn how to create experiment analysis in eppo s ui as well as how to deep dive into experiment results and curate custom experiment reports to communicate and track learnings contextual bandits learn how to use eppo to personalize user experiences with contextual bandits reference guides dive into detailed guides on advanced use cases including marketing integrations engineering tutorials and advanced experimentation topics statistics learn about the nitty gritty details of how eppo s statistical engine works including confidence interval methods cuped sample size calculation and more administration learn about eppo s approach to role based access control sso scim teams and other global admin settings note need help do not hesitate to reach out to us via support geteppo com we would love to hear from you edit this page next connecting your warehouse eppo s architecture the eppo sdk the eppo analytics platform navigating the docs getting started core concepts reference links eppo blog eppo application product updates reference api reference security copyright 2026 eppo inc
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