GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
151views this month
Decision brief
A Python library for foundational AI model data processing, offering a pipeline for tasks like instruction tuning and synthetic data generation.
Good fit when
- When you need to preprocess large datasets specifically for training large language models (LLMs) with pipelines that support sophisticated processes like instruction tuning.
Avoid when
- If your project does not involve foundational AI model training or if you do not require advanced data processing capabilities such as synthetic data generation.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Adoption
Package downloads where a registry match exists. GitHub stars (6,897) are secondary evidence.
- Docker Hub pulls (30d)
- 14,309·Docker Hub API·Aug 17, 2026
Maintenance and security
Full trust report- Maintenance
- Very active (4d since push)
- As of Aug 17, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 17, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install data-juicerHow it fits your stack(11)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Integrates
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Relationship graph
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Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Library and tools for processing data used in the training of foundational AI models, including large language models (LLMs). Provides a pipeline for instruction tuning, synthetic data generation, and other preprocessing tasks necessary for model preparation.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 17, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 17, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 17, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 17, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 17, 2026)
**Or compose in Python**:Source link
Tags
README
🚀 Quick Start Zero install exploration : JupyterLab Playground with Tutorials Ask DJ Copilot Install & run : Or compose in Python : 📄 License & Attribution Data Juicer is released under the Apache License 2.0. Attribution is appreciated: please use our badge, or text as "This p...
For agents
This page has a .md twin and JSON over the API.