πŸ› οΈ
Great Expectations tool by fivetran
⭐ 65.2
πŸ› οΈ
Tool

Great Expectations

by fivetran fivetran/great_expectations
Free2AITools Nexus Index
65.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 61
P: Popularity 71
R: Recency 100
Q: Quality 70
Tech Context
Vital Performance —
Source β†’
Python Lang
Open Source 11.6K Stars
Alpha Reliability
Tool Information Summary
Entity Passport
Registry ID fivetran/great_expectations
License Apache-2.0
Provider github
πŸ“œ

Cite this tool

Academic & Research Attribution

BibTeX 
@misc{gh_tool_fivetran_great_expectations,
  author = {fivetran},
  title = {Great Expectations Tool},
  year = {2026},
  howpublished = {\url{https://github.com/fivetran/great_expectations}},
  note = {Accessed via Free2AITools.}
}
APA Style
fivetran. (2026). Great Expectations [Tool]. Free2AITools. https://github.com/fivetran/great_expectations

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ™ GitHub Clone
git clone https://github.com/fivetran/great_expectations
🐍 PIP Install
pip install great_expectations

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 61
Popularity (P) 71
Recency (R) 100
Quality (Q) 70

πŸ’¬ Index Insight

FNI V2.0 for Great Expectations: Authority (A:61), Popularity (P:71), Recency (R:100), Quality (Q:70). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data

πŸ“‹ Specs

Language
Python
License
Apache-2.0
Version
β€”
Explore Source Node
CODE

πŸ”Œ Usage & Integration

Quick Start

pip install great_expectations

Technical Documentation

Python Versions PyPI PyPI Downloads Build Status pre-commit.ci Status DOI Twitter Follow Slack Status Contributors Ruff

About GX Core

GX Core combines the collective wisdom of thousands of community members with a proven track record in data quality deployments worldwide, wrapped into a super-simple package for data teams.

Its powerful technical tools start with Expectations: expressive and extensible unit tests for your data. Expectations foster collaboration by giving teams a common language to express data quality tests in an

Social Proof

GitHub Repository
11.6KStars
1.8KForks
Repo Issues
πŸ™ Data Source: GitHub β†—
πŸ”„ Updated daily

Source summary: Based on GitHub metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Tool Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
gh-tool--fivetran--great_expectations
slug
fivetran--great_expectations
source
github
author
fivetran
license
Apache-2.0
tags
pipeline-tests, dataquality, datacleaning, datacleaner, data-science, data-profiling, pipeline, pipeline-testing, cleandata, dataunittest, data-unit-tests, eda, exploratory-data-analysis, exploratory-analysis, exploratorydataanalysis, data-quality, data-engineering, pipeline-debt, data-profilers, mlops, python

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
other

πŸ“Š Engagement & Metrics

downloads
0
stars
11,640
forks
1,778
github stars
11,640

Data indexed from public sources. Updated daily.