fivetran/great_expectations
fivetran/great_expectations has 11,920 GitHub stars and 1,881 forks. GitHot measured +4 stars in 24 hours and +8 in 7 days. Last checked 2026-11-08 14:54 UTC. Last push 2026-11-04.
Comment ces chiffres sont mesurés
Sachez toujours à quoi vous attendre avec vos données.
Progression mesurée des étoiles
- in 24h
- +4
- in 7 days
- +8
- in 15 days
- Mise à jour retardée
- in 1 month
- Mise à jour retardée
Variations nettes sur des périodes qui se chevauchent, pas des totaux quotidiens. Les mesures absentes restent vides. Les étoiles indiquent l’intérêt, pas la qualité.
README.md
Original
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 intuitive way. You can automatically generate documentation for each set of validation results, making it easy for everyone to stay on the same page. This not only simplifies your data quality processes, but helps preserve your organization’s institutional knowledge about its data.
Learn more about how data teams are using GX Core in our featured case studies.
Integration support policy
GX Core supports Python 3.10 through 3.14.
Experimental support for Python 3.15 and later can be enabled by setting a GX_PYTHON_EXPERIMENTAL environment variable when installing great_expectations.
For data sources and other integrations that GX supports, see the compatibility reference for additional information.
Get started
GX recommends deploying GX Core within a virtual environment. For more information about getting started with GX Core, see Introduction to GX Core.
Run the following command in an empty base directory inside a Python virtual environment to install GX Core:
pip install great_expectationsRun the following command to import the
great_expectations moduleand create a Data Context:import great_expectations as gx context = gx.get_context()
Get support from GX and the community
They are listed in the order in which GX is prioritizing the support issues:
- Issues and PRs in the GX GitHub repository
- Questions posted to the GX Core Discourse forum
- Questions posted to the GX Slack community channel
Contribute
We truly value the contributions of our community and always welcome pull requests. PRs are encouraged for both bug fixes and new features. For feature requests, we ask that you first open an issue for discussion to ensure the feature fits within the vision for GX Core and to align on the approach so that your time and effort are well spent. Thank you for being a crucial part of GX Core!
See CONTRIBUTING.md for details on how to propose a change, claim an issue, and submit a pull request.
Code of conduct
Everyone interacting in GX Core project codebases, Discourse forums, Slack channels, and email communications is expected to adhere to the GX Community Code of Conduct.
Explorer des projets similaires
Asabeneh/30-Days-Of-Python
Le défi de programmation 30 Days of Python est un guide pas à pas pour apprendre le langage de programmation Python en 30 jours. Ce défi peut prendre plus de 100 jours. Avancez à votre rythme. Ces vidéos peuvent aussi vous aider : https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
78,423 étoilesgrafana/grafana
Plateforme ouverte et composable d’observabilité et de visualisation de données. Visualise les métriques, les journaux et les traces issus de plusieurs sources, comme Prometheus, Loki, Elasticsearch, InfluxDB, Postgres et bien d’autres.
77,763 étoilesredis/redis
Pour les développeurs qui créent des applications en temps réel pilotées par les données, Redis est le cache, le serveur de structures de données et le moteur de requêtes documentaires et vectorielles préféré, le plus rapide et le plus riche en fonctionnalités.
77,309 étoilesapache/superset
Apache Superset est une plateforme de visualisation et d'exploration de données.
75,453 étoiles