Iteratively vs Objectiv
Overview
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CLI (Node.js)
Manual
Detailed Comparison
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. | Open-source product analytics infrastructure with a generic event taxonomy, so models built on one company's data set can be deployed and run on another. |
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 | Collect validated user behavior data with a generic event structure;
Feed it into your data warehouse;
Model on the raw data without cleaning & transformation;
Take & run pre-built models off the shelf;
Reuse and share any model between teams, products and platforms;
Use pandas-like operations that run on the full SQL dataset;
Convert models to SQL with one command, to feed all data consumers from a single source of truth;
Self-hosted and free to use. |
Statistics | |
GitHub Stars - | GitHub Stars 464 |
GitHub Forks - | GitHub Forks 40 |
Stacks 6 | Stacks 3 |
Followers 16 | Followers 6 |
Votes 0 | Votes 0 |
Integrations | |
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