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aisheets

huggingface/aisheets

Build, enrich, and transform datasets using AI models with no code

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

151views this month

1.6k stars139 forksLast push Sep 17, 2026 TypeScript Apache-2.0

Decision brief

Aisheets is a no-code platform that uses AI models to build and transform datasets, suitable for users looking to manipulate and enhance data with ease without writing any code.

Good fit when

Use Aisheets when you need to quickly enrich your datasets using AI capabilities and have no coding experience or preference to avoid coding tasks.
Opt for Aisheets if the project focuses on synthetic-data generation that benefits from an integrated, no-code interface to manage the AI model interactions.

Avoid when

Avoid Aisheets if you require a highly customizable code-based solution where manual control over data manipulations is essential.
Do not use Aisheets for projects where open-source software limitations may prevent usage due to its Apache-2.0 license, if your project requires a different licensing model.

Observed Jul 17, 2026 · Source: enrich:decision_facts

aisheets alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Very active (2d since push); As of Sep 20, 2026
Provenance: Not a fork · Organization account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for Hugging Face. Display-only - separate from trust and ranking.

Company: Hugging Face·GitHub org profile·Jul 11, 2026
Employees: 160·Wikidata (P1128 employees)·Jul 11, 2026
Funding: $235,000,000 (2023-08)·GraphCanon curated seed (public press)·Jul 11, 2026
Commercial model: OSS + managed cloud·GraphCanon curated seed·Jul 11, 2026

Install

npm install aisheets

npm

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A no-code platform for dataset manipulation utilizing AI models, enabling users to build and enhance datasets seamlessly.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Sep 20, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
CLI: CLI entrypoint
Source: package.json:bin|scripts · Sep 20, 2026
MCP server: No MCP server detected
Source: repo_scan · Sep 20, 2026
Languages: typescript, javascript
Source: github.language+package.json · Sep 20, 2026

Graph entities

Hugging Facecompany

README

Using Docker First, get your Hugging Face token from <https://huggingface.co/settings/tokens Open in your browser.

For agents

This page has a .md twin and JSON over the API.

/tools/huggingface-aisheets.md GET /api/graphcanon/tools/huggingface-aisheets GET /api/graphcanon/graph?tool=huggingface-aisheets