huggingface/aisheets

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1642 stars · 139 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Hugging Face AI Sheets is an open-source no-code web application for building, enriching, and transforming datasets using AI models. It can be deployed locally via Docker or on the Hugging Face Hub, and connects to thousands of open models via Inference Providers or local inference servers.

Use cases

• build datasets with llms without writing code
• enrich existing datasets with model-generated columns
• generate synthetic training data from prompts
• transform and clean csv-like data using ai models
• evaluate and compare llm outputs across rows
• run large-scale dataset generation jobs on hf jobs

When to choose

• you want a spreadsheet-like no-code ui for llm-powered data generation
• you need to enrich or extend datasets with thousands of open hub models
• you want to self-host the tool locally or deploy it as a hf space

When to avoid

• you need programmatic dataset pipelines in python rather than a gui
• you require offline operation without any model inference access
• you need heavy-duty etl orchestration beyond row-level ai transformations

Facets

application · maturity active

llm-inference data-generation etl rag prompt-engineering data-science machine-learning large-language-models artificial-intelligence developer-tools self-hosted cross-platform no-code spreadsheet-ui synthetic-data dataset-enrichment huggingface-hub inference-providers web-server docker nodejs

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