This is the Windows app named DataChain whose latest release can be downloaded as 0.18.11sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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DataChain
DESCRIPTION
Datachain enables multimodal API calls and local AI inferences to run in parallel over many samples as chained operations. The resulting datasets can be saved, versioned, and sent directly to PyTorch and TensorFlow for training. Datachain can persist features of Python objects returned by AI models, and enables vectorized analytical operations over them. The typical use cases are data curation, LLM analytics and validation, image segmentation, pose detection, and GenAI alignment. Datachain is especially helpful if batch operations can be optimized – for instance, when synchronous API calls can be parallelized or where an LLM API offers batch processing.
Features
- Datachain is built by composing wrangling operations
- Documentation available
- Examples available
- Handle Python objects
- Vectorized analytics
- Dataset persistence
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/datachain.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
