GraphCanon updated 3w · GitHub synced 3w · 34 views this month
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
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Maintenance and security
Full trust report- Maintenance
- Steady (63d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
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·1mo
- Employees
- 160·Wikidata (P1128 employees)·1mo
- Funding
- $235,000,000 (2023-08)·GraphCanon curated seed (public press)·1mo
- Commercial model
- OSS + managed cloud·GraphCanon curated seed·1mo
Install
npm install aisheetsSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
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 · Jul 28, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 28, 2026
- CLI
- CLI entrypoint
Source: package.json:bin|scripts · Jul 28, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Jul 28, 2026
- Languages
- typescript, javascript
Source: github.language+package.json · Jul 28, 2026
Categories
Graph entities
Tags
README
Using Docker
First, get your Hugging Face token from https://huggingface.co/settings/tokens
export HF_TOKEN=your_token_here
docker run -p 3000:3000 \
-e HF_TOKEN=HF_TOKEN \
aisheets/sheets
Open http://localhost:3000 in your browser.
For agents
This page has a .md twin and JSON over the API.