Strongest current signal
Package downloads
27.3M/30d
Tracked on PyPI
Data quality framework for validating and profiling data pipelines
Best current coverage: 27.3M downloads/30d, 108 dependents, and 284 public repos.
Lead signals
Package pull and public code usage both show up clearly for Great Expectations.
Strongest current signal
27.3M/30d
Tracked on PyPI
108
Known dependents on PyPI
11.4K
Main repository stars
2/30d
Ranked #41 in category discussion
Research Brief
No recent Research Brief centers Great Expectations yet. Start with the latest market reporting, then return here for the stored company signals on this page.
Browse Research Briefs →Reading
package pull and existing public code are the clearest current signals for Great Expectations.
Package pull
27.3M/30d
Tracked package pull on PyPI
Existing public code
284
Public repositories importing tracked packages
Downstream usage
108
Known dependents on PyPI
Engineering activity
2
GitHub contributors active in the last 30 days
Coverage includes npm and PyPI registries, GitHub, public code import detection, developer discussion, and recent company news where available. As of April 14, 2026. Methodology
Sustainability and maintenance signals from the primary public repository.
These signals come from public code import detection and tracked hiring posts rather than registry totals alone.
Public repositories and source files importing packages tied to Great Expectations.
Background and reference details
background, categories, funding, and tools stay collapsed until you need them.
Great Expectations provides an open-source framework for data quality, enabling data teams to validate, profile, and document their data. It helps ensure the reliability and trustworthiness of data pipelines by defining 'expectations' about data, preventing issues before they impact downstream analytics or AI models. This makes it a critical tool for maintaining data integrity in modern data stacks.
Raised $61M total - DAI rank #24 (top 9%) suggests strong developer adoption relative to funding.
Tiger Global
Index Ventures, CRV
778K PyPI
Data quality framework for validating and profiling data pipelines
Public pricing snapshots collected for Great Expectations
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Historical metrics for Great Expectations
Great Expectations: GitHub Stars up 1% (11.3K to 11.4K). Contributors down 50% (4 to 2).
| Date | PyPI Downloads | GitHub Stars | Contributors |
|---|---|---|---|
| Mar 16, 2026 | - | 11.3K | 4 |
| Mar 22, 2026 | 6.8M | - | - |
| Mar 23, 2026 | - | 11.3K | 3 |
| Mar 29, 2026 | 6.4M | - | - |
| Mar 30, 2026 | - | 11.3K | 5 |
| Apr 5, 2026 | 6.5M | - | - |
| Apr 6, 2026 | - | 11.4K | 5 |
| Apr 12, 2026 | 3.9M | - | - |
| Apr 13, 2026 | 778.7K | 11.4K | 0 |
| Apr 14, 2026 | - | 11.4K | 2 |