What is great_expectations built with?
great_expectations is a Python repo built with Flask and pyspark. It stores its data in Postgres, reaches it with SQLAlchemy, signs people in with azure-identity, azure-keyvault-secrets, and cryptography, uses AI through datasets, TensorFlow, prophet, scikit-learn, and langid, makes its content with myst-parser, openpyxl, pdf2image, pytesseract, xlrd, and 4 more, validates its data with great-expectations, marshmallow, barcodenumber, jsonschema, and Pydantic, is tested with pytest-benchmark, pytest-cov, pytest-order, pytest-random-order, pytest-split, and 9 more, deploys with boto3, and uses azure-storage-blob, feather-format, gcsfs, oracledb, psycopg2-binary, and 10 more. It has 366,832 written lines, with 582 test files.
Read on November 11, 2026, at commit a3e335b. Read it as markdown
The card says what it's built with. Its whole map opens it up: every part of the code and how it connects to the rest.
Frontend
Styles 1
pydata-sphinx-theme
Interface 2
altair1 file
matplotlib1 file
Backend
Data 16
- Postgres10 files · great_expectations/compatibility/postgresql.py, line 1
teradatasqlalchemy3 files
pandas-gbq1 file
pyarrow1 file
pyathena1 file
- Trino1 file
oracledb
psycopg2-binary
snowflake-sqlalchemy
- clickhouse-sqlalchemy3 files
- pyodbc1 file
- azure-storage-blob
- feather-format
- gcsfs
- pyhive
- pymysql
Data access 1
- SQLAlchemy19 files
Sign-in 3
- cryptography1 file
- azure-identity
- azure-keyvault-secrets
AI 5
- TensorFlow5 files
prophet2 files
- scikit-learn2 files
- langid1 file
- datasets
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Frequently asked questions
What language is great_expectations written in?
What framework does great_expectations use?
What database does great_expectations use?
The proof: great_expectations/compatibility/postgresql.py, line 1
What does great_expectations sign people in with?
Does great_expectations use AI?
What services does great_expectations use?
Does great_expectations have tests?
Which repos have a stack like great_expectations's?
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