Flagsmith Experiments
An open-source A/B testing module released by Flagsmith that reuses existing feature flags and metrics and provides Bayesian statistical analysis, supporting either a hosted repository or integration with a user's own ClickHouse or Databricks.
Timeline (last 90 days)
Flagsmith Experiments is a new module released on the Flagsmith platform that allows teams to run A/B tests on top of existing feature flags.
Flagsmith Experiments received 87 votes and ranked 6th on Product Hunt.
Flagsmith Experiments uses a Bayesian approach for variant evaluation, outputting the probability that one variant is better than another.
Flagsmith Experiments allows users to connect their own ClickHouse or Databricks instances, while also offering a hosted repository option.
Flagsmith Experiments itself is free and open source, supporting both self-hosted and cloud deployment.
The value of Flagsmith Experiments lies in reusing the existing grouping identifiers of flags as experiment units and supplementing them with a randomization and statistics layer.
All Facts (6)
Flagsmith Experiments received 87 votes and ranked 6th on Product Hunt.
50%UnverifiedFlagsmith Experiments uses a Bayesian approach for variant evaluation, outputting the probability that one variant is better than another.
50%UnverifiedFlagsmith Experiments allows users to connect their own ClickHouse or Databricks instances, while also offering a hosted repository option.
50%UnverifiedFlagsmith Experiments itself is free and open source, supporting both self-hosted and cloud deployment.
50%UnverifiedThe value of Flagsmith Experiments lies in reusing the existing grouping identifiers of flags as experiment units and supplementing them with a randomization and statistics layer.
50%UnverifiedFlagsmith Experiments is a new module released on the Flagsmith platform that allows teams to run A/B tests on top of existing feature flags.
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