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Instancio is a Java library that aims to eliminate (or at least reduce) manual data setup in unit tests. In a nutshell, you specify a class, and it returns a fully-populated instance. Github's README provides a quick overview: https://github.com/instancio/instancio/
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https://github.com/instancio/instancio-quickstart/ - sample project to get started and play around with the API
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Looks a lot like DataFaker Any pros and cons or differences compared to this?
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You can actually combine the two libraries together. Somebody suggested an integration in my earlier post and I ended up creating a sample project. It uses Instancio SPI and DataFaker to auto-generate POJOs with realistic looking data.