Data & datasets
Distributions, dates, matrices, and synthetic datasets.
51 tools
- Synthetic Data StudioProdataDesign a synthetic dataset column by column — pick any field type, tune its options with real controls, and generate reproducible fake data in any locale.
- Random ColourdataGenerate reproducible random colours in common formats.
- Random PalettedataGenerate a reproducible palette of harmonious random colours.
- Random DatedataGenerate reproducible random dates within a range.
- Random DatetimedataGenerate reproducible random timestamps in a date-time range.
- Random TimedataGenerate reproducible random times within a daily range.
- Random GradientdataGenerate reproducible CSS linear gradients.
- LogdataGenerate seeded, clearly synthetic application logs.
- Fake User DatasetdataGenerate realistic-looking, clearly synthetic user rows for testing.
- Fake Order DatasetdataGenerate clearly synthetic e-commerce order records.
- Synthetic DatasetdataGenerate configurable, clearly synthetic datasets from realistic templates.
- Categorical DatadataGenerate seeded categorical values, with optional weights.
- CoordinatedataGenerate seeded geographic coordinates.
- Country and CitydataGenerate seeded country and city pairs.
- Distribution SamplerdataSample seeded values from common probability distributions.
- Event Stream DatadataGenerate CDC, Kafka, telemetry, or clickstream event data.
- Fake AddressdataGenerate realistic synthetic mailing addresses.
- Fake Employee DatasetdataGenerate realistic-looking, clearly synthetic employee records for testing.
- Fake InvoicedataGenerate realistic invoice records for testing.
- Fake Logistics DatasetdataGenerate realistic-looking package tracking data.
- Fake Media MetadatadataGenerate realistic-looking synthetic media metadata for images, videos, and audio files.
- Fake Product DatasetdataGenerate realistic-looking, clearly synthetic product records for testing.
- Fake ProfiledataGenerate synthetic user profiles with realistic contact information.
- Fake Review DatasetdataGenerate realistic product reviews for testing and prototypes.
- Fake Support TicketsdataGenerate realistic support ticket data for testing help desk systems.
- Fake Transaction DatasetdataGenerate realistic-looking, clearly synthetic transaction records for testing.
- Finance FieldsdataGenerate financial field values like prices, discounts, and exchange rates.
- Geo FeaturesdataGenerate GeoJSON features and geometries.
- Geo PointsdataGenerate geographic point data for mapping and spatial analysis.
- GeoJSON PointdataGenerate seeded GeoJSON point features.
- IoT Sensor DatasetdataGenerate realistic IoT sensor readings for testing and monitoring systems.
- Messy DatadataGenerate intentionally dirty data for ETL and validation testing.
- N-Dimensional ArraydataGenerate seeded arrays with any practical number of dimensions.
- Numeric SeriesdataGenerate reproducible numeric sequences with optional noise.
- Perlin & Simplex NoisedataGenerate reproducible 2D Perlin or Simplex noise maps.
- Random BarcodedataGenerate synthetic EAN-13 and UPC-A barcodes with valid checksums.
- Random EmaildataGenerate realistic synthetic email addresses for testing.
- Random GraphdataGenerate edges for various graph structures.
- Random ISBNdataGenerate synthetic ISBN-10 or ISBN-13 barcodes with valid checksums.
- Random MatrixdataGenerate a seeded rectangular matrix of numbers.
- Random PhonedataGenerate realistic synthetic phone numbers for testing.
- Random ScheduledataGenerate random schedules for appointments, shifts, and events.
- RoutedataGenerate seeded coordinate routes.
- Sampling DesignsdataGenerate sample indices using various statistical sampling methods.
- Structured MatrixdataGenerate structured matrices for testing statistical operations.
- Time-SeriesdataGenerate reproducible timestamped metrics with trends and noise.
- Triangular Distribution SamplerdataSample from a triangular distribution with min, mode, and max.
- Voronoi PointsdataGenerate 2D point clouds using Poisson disc sampling, blue noise, or particle distribution.
- Warehouse LocationdataGenerate warehouse location codes.
- Warehouse SchemadataGenerate dimension, fact, date-dimension, or SCD2 warehouse schema rows.
- Zipf Distribution SamplerdataSample from a Zipf (power law) distribution.