Skip to main content
Great Expectations logo

Great Expectations

Data quality framework for validating and profiling data pipelines

AI InfrastructureFounded 2018#19 of 55 in AI Infrastructure

Company data checked

Follow this company

Follow this company to revisit its latest research cards from your account.

Company research

Current company data

No company research card is published for Great Expectations yet. The current company data below lists package, repository, and discussion metrics AI-Buzz can inspect today; AI-Buzz publishes a card when recent public metrics show a measured change with dated evidence and cited sources.

Package downloads (30d)

25.6M/30d

Dependent projects

125

dependents · latest

GitHub stars

11.6K

Hacker News

2/30d

Note: Public metrics are incomplete, and current data alone does not prove a trend; they do not show private usage, paid use, customer count, or product quality.

Company profile

What is Great Expectations?

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.

Latest company data

Metric dates vary by source

Metric dates
PyPI downloads
PyPI dependents
GitHub stars
Hacker News mentions

Key metric

Package downloads (30d)

25.6M/30d

Tracked package: PyPI great-expectations

▼ -11%

Additional metrics

3 metrics

Metric

Dependent projects

125

Projects depending on tracked package: PyPI great-expectations

Metric

GitHub stars

11.6K

Main repository stars

Metric

Hacker News

2/30d

Position #37 in category discussion

Repository health

Maintenance data from the main open-source repository.

OpenSSF Scorecard
3.9
Key-person risk
1
External contributors
20
% of recent contributors outside the core team
Releases (30d)
0

Repository usage

Public repositories and source files importing packages tied to Great Expectations.

Repos importing
2840%

About Great Expectations

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.

FoundersAbe Gong, James Campbell, Kyle Eaton

Disclosed funding

Disclosed $61M · 2 rounds

Disclosed funding records total $61M. Category position #19 of 55 in AI Infrastructure.

Series A2022

Tiger Global

$40M
Seed2021

Index Ventures, CRV

$21M

Investors

CRVIndex VenturesTiger Global

Tracked packages (1)

1 PyPI

great-expectations

PyPIMain PyPI package

great-expectations

Data quality framework for validating and profiling data pipelines