Strongest current signal
Package downloads
28.6M/30d
Tracked on PyPI
▼ -4%
Data quality framework for validating and profiling data pipelines
Evidence spans packages, GitHub, developer discussion, and code adoption.
Evidence
Package demand leads here, with downstream usage and discussion filling in the picture.
Strongest current signal
28.6M/30d
Tracked on PyPI
108
Known dependents on PyPI
11.4K
Main repository stars
2/30d
Ranked #42 in category discussion
Summary
Great Expectations shows both package demand and downstream use: 28.6M package downloads in the last 30 days and 284 public repositories importing its packages.
This summary draws from package registries, GitHub, developer discussion, and AI-Buzz collection where it adds real signal. As of April 11, 2026. Methodology
Research Brief
No recent Research Brief centers Great Expectations yet. Start with the latest market reporting, then return here for the source-level evidence on this page.
Browse Research Briefs →Sustainability and maintenance signals from the primary public repository.
Additional evidence
AI-Buzz collects a small set of signals that do not show up cleanly in package and repository feeds.
Public repositories and source files importing packages tied to Great Expectations.
Background and reference details
background, categories, funding, tools, and pricing history 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 #17 (top 6%) suggests strong developer adoption relative to funding.
Tiger Global
Index Ventures, CRV
1.0M PyPI
Data quality framework for validating and profiling data pipelines
Great Expectations pricing changes tracked over time
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Historical metrics for Great Expectations
Great Expectations: PyPI Downloads down 85% (6.9M to 1.0M). GitHub Stars up 1% (11.3K to 11.4K). Contributors up 200% (1 to 3).
| Date | PyPI Downloads | GitHub Stars | Contributors |
|---|---|---|---|
| Mar 20, 2026 | 6.9M | 11.3K | 1 |
| Mar 22, 2026 | - | - | - |
| Mar 27, 2026 | 6.4M | - | 5 |
| Mar 29, 2026 | - | - | - |
| Apr 3, 2026 | 6.4M | 11.3K | 2 |
| Apr 5, 2026 | - | - | - |
| Apr 6, 2026 | - | - | - |
| Apr 10, 2026 | 4.0M | 11.4K | 4 |
| Apr 11, 2026 | 1.0M | 11.4K | 3 |