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Iteratively helps teams capture reliable product analytics they can trust. It eliminates the most common causes of error during the definition and implementation of tracking plans, and cuts down on the time it takes to correctly instrument the product. As a result, folks that consume product analytics get exactly what they spec'd out and can rely on the incoming data knowing it is trustworthy and accurate. | It is an open-source data infrastructure to keep customer data in-sync between your data warehouse and 3rd party tools. |
Single source of truth for your product analytics events;
Generates a strongly typed library for your analytics with cross-platform support (Typescript, Kotlin, Swift, etc..);
Integrates with the 3rd party and custom backends (Amplitude, Mixpanel, Segment, Intercom, etc...);
Established best practices for taxonomy and naming convention;
Quality assurance built in with code linting and runtime analysis;
Generate automatic & beautiful documentation | Run it on your computer today or install it on your company’s servers. Your data stays private on your servers. No usage or storage limits;
Pull data from trusted sources like data warehouses instead of instrumenting Event streams;
Marketing, Sales, Customer Support and other teams are trying new tools all the time. Instead of building and maintaining all of these integrations, add our pre-built connectors;
Maintain control over your data and infrastructure so you’re never locked in. While a dedicated team is building and maintaining it, we welcome the developer community to contribute and improve it as well |
Statistics | |
GitHub Stars - | GitHub Stars 760 |
GitHub Forks - | GitHub Forks 120 |
Stacks 6 | Stacks 3 |
Followers 16 | Followers 6 |
Votes 0 | Votes 0 |
Integrations | |

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