Comparison
data-juicer vs mage-ai
Verdict
Pick data-juicer if a Python library for foundational AI model data processing, offering a pipeline for tasks like instruction tuning and synthetic data generation; pick mage-ai if mage OSS offers a self-hosted Python-centric notebook-style UI for creating production-grade data pipelines with modular code blocks.
Markdown twin · data-juicer alternatives · mage-ai alternatives
GraphCanon updated Sep 20, 2026
11views this month
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Trust & integrity
| Signal | data-juicer | mage-ai |
|---|---|---|
| Maintenance | Very active (4d since push) As of Aug 17, 2026 · github_public_v1 | Very active (6d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 17, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- data-juicer
- Data processing for and with foundation models
- mage-ai
- Build, run and manage data pipelines for integrating and transforming data
Stars
- data-juicer
- 6.9k
- mage-ai
- 8.8k
Forks
- data-juicer
- 404
- mage-ai
- 990
Open issues
- data-juicer
- 59
- mage-ai
- 624
Language
- data-juicer
- Python
- mage-ai
- Python
Adopt for
- data-juicer
- A Python library for foundational AI model data processing, offering a pipeline for tasks like instruction tuning and synthetic data generation.
- mage-ai
- Mage OSS offers a self-hosted Python-centric notebook-style UI for creating production-grade data pipelines with modular code blocks.
Persona
- data-juicer
- -
- mage-ai
- -
Runtime
- data-juicer
- -
- mage-ai
- -
License
- data-juicer
- Apache-2.0
- mage-ai
- Apache-2.0
Last pushed
- data-juicer
- Aug 13, 2026
- mage-ai
- Sep 11, 2026
Categories
- data-juicer
- Data & Retrieval, Model Training
- mage-ai
- Data & Retrieval
Trust and health
Days since push
- data-juicer
- 4d
- mage-ai
- 6d
Open issues (now)
- data-juicer
- 59
- mage-ai
- 624
Stars delta
- data-juicer
- +166 (30d)
- mage-ai
- +33 (30d)
Open issues delta
- data-juicer
- -3 (30d)
- mage-ai
- +5 (30d)
OSV dependency advisories
- data-juicer
- No lockfile (source not queried)
- mage-ai
- Published findings
Full report
- data-juicer
- Trust report
- mage-ai
- Trust report
Shared compatibility
- Python · data-juicer: Python runtime · mage-ai: Python runtime
Choose data-juicer if…
- Tags unique to data-juicer: foundation-models, instruction-tuning, large-language-models, llm.
- Also covers Model Training.
- When you need to preprocess large datasets specifically for training large language models (LLMs) with pipelines that support sophisticated processes like instruction tuning.
When NOT to use data-juicer
- 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.
Choose mage-ai if…
- Tags unique to mage-ai: artificial-intelligence, data-pipelines, machine-learning, python.
- You need a local, self-hosted solution for building ETL tasks or orchestrating transformations.
- More GitHub stars (8.8k vs 6.9k) - visibility, not fit.
When NOT to use mage-ai
- You need a cloud-hosted service with pre-provisioned storage and compute resources.
- Looking for real-time collaboration features beyond the notebook-style interface.
- Need support for non-Python, SQL, R languages in pipeline creation.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (datajuicer/data-juicer) · observed Sep 19, 2026
- GitHub forks (datajuicer/data-juicer) · observed Sep 19, 2026
- Last push (datajuicer/data-juicer) · observed Aug 13, 2026
- License file (Apache-2.0) · observed Sep 19, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (mage-ai/mage-ai) · observed Sep 20, 2026
- GitHub forks (mage-ai/mage-ai) · observed Sep 20, 2026
- Last push (mage-ai/mage-ai) · observed Sep 11, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: data-juicer 6.9k · mage-ai 8.8k (synced Sep 19, 2026).
Common questions
- What is the difference between data-juicer and mage-ai?
- data-juicer: Data processing for and with foundation models. mage-ai: Build, run and manage data pipelines for integrating and transforming data. See the comparison table for live GitHub stats and shared categories.
- When should I choose data-juicer over mage-ai?
- Choose data-juicer over mage-ai when Tags unique to data-juicer: foundation-models, instruction-tuning, large-language-models, llm; Also covers Model Training; When you need to preprocess large datasets specifically for training large language models (LLMs) with pipelines that support sophisticated processes like instruction tuning.
- When should I choose mage-ai over data-juicer?
- Choose mage-ai over data-juicer when Tags unique to mage-ai: artificial-intelligence, data-pipelines, machine-learning, python; You need a local, self-hosted solution for building ETL tasks or orchestrating transformations; More GitHub stars (8.8k vs 6.9k) - visibility, not fit.
- When should I avoid data-juicer?
- 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.
- When should I avoid mage-ai?
- You need a cloud-hosted service with pre-provisioned storage and compute resources. Looking for real-time collaboration features beyond the notebook-style interface. Need support for non-Python, SQL, R languages in pipeline creation.
- Is data-juicer or mage-ai more popular on GitHub?
- mage-ai has more GitHub stars (8,823 vs 6,897). Stars measure visibility, not whether either tool fits your constraints.
- Are data-juicer and mage-ai open source?
- Yes - both are open-source projects on GitHub (data-juicer: Apache-2.0, mage-ai: Apache-2.0).
- Where can I find alternatives to data-juicer or mage-ai?
- GraphCanon lists graph-backed alternatives at data-juicer alternatives and mage-ai alternatives (data-juicer markdown twin, mage-ai markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, data-juicer or mage-ai?
- data-juicer: Very active. mage-ai: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for data-juicer and mage-ai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: data-juicer trust report; mage-ai trust report.