Comparison
great_expectations vs lux
Verdict
Pick great_expectations if great Expectations is a Python library that helps maintain data quality through unit testing mechanisms known as expectations; pick lux if automatically visualize pandas dataframes to reveal trends.
Markdown twin · great_expectations alternatives · lux alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | great_expectations | lux |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Dormant (865d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | Published findings As of 1mo · 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
- great_expectations
- Always know what to expect from your data
- lux
- Automatically visualize pandas dataframes.
Stars
- great_expectations
- 12k
- lux
- 5.4k
Forks
- great_expectations
- 1.8k
- lux
- 379
Open issues
- great_expectations
- 39
- lux
- 90
Language
- great_expectations
- Python
- lux
- Python
Adopt for
- great_expectations
- Great Expectations is a Python library that helps maintain data quality through unit testing mechanisms known as expectations.
- lux
- Automatically visualize pandas dataframes to reveal trends.
Persona
- great_expectations
- -
- lux
- -
Runtime
- great_expectations
- -
- lux
- -
License
- great_expectations
- Great Expectations is available under the Apache-2.0 license.
- lux
- Apache-2.0
Last pushed
- great_expectations
- Aug 2, 2026
- lux
- Mar 20, 2024
Categories
- great_expectations
- Data & Retrieval
- lux
- Data & Retrieval, Developer Tools
Trust and health
Maintenance
- great_expectations
- Very active (96%)
- lux
- Dormant (18%)
Days since push
- great_expectations
- 0d
- lux
- 865d
Open issues (now)
- great_expectations
- 39
- lux
- 90
Full report
- great_expectations
- Trust report
- lux
- Trust report
Shared compatibility
- Python · great_expectations: Python runtime · lux: Python runtime
Choose great_expectations if…
- Requirements: Supports Python versions 3.10 through 3.13, with experimental support for Python 3.14 and later via an environment variable..
- Tags unique to great_expectations: data-engineering, data-quality, mlops.
- When you need detailed and automated documentation for each set of validation results to simplify your data quality processes while preserving institutional knowledge.
When NOT to use great_expectations
- For environments that strictly require adherence to Python versions 3.9 or lower, since Great Expectations supports only 3.10 through 3.13 natively.
- If your data integration requirements are not compatible with those listed in the Great Expectations compatibility reference.
Choose lux if…
- Tags unique to lux: data-science, jupyter, pandas, python.
- Also covers Developer Tools.
- When you need quick insights from pandas dataframes without manual visualization setup.
When NOT to use lux
- Avoid if your workflow strictly avoids third-party extensions for Pandas.
- Not suitable when detailed customization of visualizations is required, as Lux focuses on automated recommendations.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (fivetran/great_expectations) · observed Aug 2, 2026
- GitHub forks (fivetran/great_expectations) · observed Aug 2, 2026
- Last push (fivetran/great_expectations) · observed Aug 2, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (lux-org/lux) · observed Aug 3, 2026
- GitHub forks (lux-org/lux) · observed Aug 3, 2026
- Last push (lux-org/lux) · observed Mar 20, 2024
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: great_expectations 12k · lux 5.4k (synced Aug 2, 2026).
Common questions
- What is the difference between great_expectations and lux?
- great_expectations: Always know what to expect from your data. lux: Automatically visualize pandas dataframes.. See the comparison table for live GitHub stats and shared categories.
- When should I choose great_expectations over lux?
- Choose great_expectations over lux when Requirements: Supports Python versions 3.10 through 3.13, with experimental support for Python 3.14 and later via an environment variable.; Tags unique to great_expectations: data-engineering, data-quality, mlops; When you need detailed and automated documentation for each set of validation results to simplify your data quality processes while preserving institutional knowledge.
- When should I choose lux over great_expectations?
- Choose lux over great_expectations when Tags unique to lux: data-science, jupyter, pandas, python; Also covers Developer Tools; When you need quick insights from pandas dataframes without manual visualization setup.
- When should I avoid great_expectations?
- For environments that strictly require adherence to Python versions 3.9 or lower, since Great Expectations supports only 3.10 through 3.13 natively. If your data integration requirements are not compatible with those listed in the Great Expectations compatibility reference.
- When should I avoid lux?
- Avoid if your workflow strictly avoids third-party extensions for Pandas. Not suitable when detailed customization of visualizations is required, as Lux focuses on automated recommendations.
- Is great_expectations or lux more popular on GitHub?
- great_expectations has more GitHub stars (11,690 vs 5,375). Stars measure visibility, not whether either tool fits your constraints.
- Are great_expectations and lux open source?
- Yes - both are open-source projects on GitHub (great_expectations: Apache-2.0, lux: Apache-2.0).
- Where can I find alternatives to great_expectations or lux?
- GraphCanon lists graph-backed alternatives at great_expectations alternatives and lux alternatives (great_expectations markdown twin, lux 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, great_expectations or lux?
- great_expectations: Very active. lux: Dormant. 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 great_expectations and lux?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: great_expectations trust report; lux trust report.