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Great Expectations

Data confidence: High

Data quality framework for validating and profiling data pipelines

DMI: 14#124 of 262 (Top 48%)HN 30d: 1
11,219 · 1,689 forks
AI InfrastructureMethodologyVisit Website →

Great Expectations has a Developer Momentum Index of 14, ranking #124 of 262 companies. Key metrics include 27.1M monthly package downloads, 11.2K GitHub stars, $61M in total funding.

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Developer Adoption

Developer Adoption

Package downloads and ecosystem metrics, 30-day window

PyPI Downloads (30d)
27.1M
great-expectations
Active Contributors (30d)
13
Unique committers, 30-day window

Active Contributors Trend

1213131314Mar 5Mar 6
90-day trend

github contributors remained stable at 13 over the last 90 days.

View data table
Dategithub contributors
Mar 5, 202613
Mar 6, 202613

PyPI Download Trend

25,651,55426,328,13527,004,71727,681,29928,357,880Mar 5Mar 6
90-day trend

PyPI Downloads grew from 26,946,170 to 27,063,264 over the last 90 days.

View data table
Datepypi downloads
Mar 5, 202626,946,170
Mar 6, 202627,063,264
Key Signals

Developer Community Metrics

Metrics computed from HN discussion, GitHub activity, and funding data.

HN Discussion Rank#43 in AI Infrastructure by HN mentions (out of 75 tracked)
HN vs Category0.5x category median (1 vs 2 median)
GitHub VelocityCommit velocity accelerating (1.3x vs 4-week average)
Funding Trajectory2 rounds in 12 months, ($21M → $40M)

Category Benchmark

75 AI Infrastructure companies
27.1M downloads/mo2053% above median
0Median: 1.3M2.5M+

Funding Rounds

Series A$40M

2022 · Tiger Global

Seed$21M

2021 · Index Ventures, CRV

Cite This Data

According to AI-Buzz, Great Expectations has 27,063,264 PyPI downloads in 30 days, with 13 active contributors in 30 days, ranks #43 in AI Infrastructure for HN discussion share (out of 75 tracked with 0.1% of HN discussion), with 20 commits/week (accelerating).

Source: https://www.ai-buzz.com/companies/great-expectations?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data

Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →

About

About

Description

Data quality framework for validating and profiling data pipelines

Estimated Company Size

50 - 100 employees

Details

Founded

2018

Data Confidence

Excellent
94/ 100

Reflects profile completeness, metric freshness, and signal coverage.

How we calculate this

Open Source

11.2K
Stars
1.7K
Forks
ActivePython
Last commit: 1 day ago
View on GitHub →

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