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Manage your dataflows seamlessly

Project description

Dataflow Awesome Managing Engine

The easiest dataflow managing framework - currently under construction.

DAME solves/facilitates:

  • Building datasets from files / folders
  • Transforming data in the right order
  • Saving transformed data - once computed never compute it again
  • Choosing the best transformation from a few configurations

Great for working with numpy, pyTorch and more.

Vision

Technically:

  • Compute stages:
    1. Sources - get data element
    2. Transforms - compute something out of available data
    3. Reducers - compute something on the whole dataset
  • Combining data sources
  • Compute only what you need - optimized performance via DAGs
  • Backup and cache, after stages, support for custom serializers
  • Ranking various configurations
  • (Optional) Parallel processing

Priorities:

  • Easy to use
  • Batteries included
  • Little overhead - take advantage of fastest tools available
  • Integrates seamlessly with other tools
  • Expandable

Nice to have:

  • Few python dependencies
  • Integrate tqdm
  • DAG output

Project details


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This version

0.0.1

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