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  • Frictionless Data

The progressive data toolkit

Frictionless Data is a progressive, incrementally adoptable open-source toolkit that brings simplicity and gracefulness to the data experience - whether you're wrangling a CSV or engineering complex pipelines with gigabytes.

Why Frictionless Data? Get Started
toolbox
Widely Adopted and Used By
Pandas Kaggle Open Refine Data.uk 18F Data.fr

Approachable

Lean and minimal core. Quick to understand, quick to use.

Incrementally Adoptable

Start with just what you need, scale as you grow.

Progressive

We enhance rather than replace your existing tools and workflows.

For anyone who works with data
Especially diverse data and/or across tools or teams

Researchers

Easily create reproducible research

Data Scientists

Create pipelines without effort

Data Engineers

Standardize data platforms

Data Integration and Management


Data integration is the job of bringing diverse data together, cleaning it up, knitting it together and pushing it into downstream applications, analytics or warehouses – and doing this reliably, repeatedly and automatedly.

Sourcing Data

Data integration work will require a way to reliably discover internal and external data assets.

Transforming Data

Data often requires some cleaning (integration) and conversions from one format to another.

Pushing and Storing Data

With the data explosion it has become a job in itself to manage data - to push and store data.

Why Frictionless Data?

Rufus Pollock explains the problem Frictionless Data addresses
through simple specifications and software.

Some of our Tooling

Data Package

Simple container format used to describe and package data.

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DataHub

Publish and find data on the next generation data platform.

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GoodTables

Validate data on every change so you catch errors before your users.

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DataFlows

A light intuitive framework for building data processing flows.

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