cloudera/hue has 1,410 GitHub stars and 411 forks. GitHot measured 0 stars in 24 hours, +1 in 7 days, and +3 in 15 days. Last checked 2026-11-14 08:07 UTC. Last push 2026-10-30.
What you can do
- Interactive SQL editor with syntax highlighting and autocomplete.
- File Browser to navigate and operate on HDFS, S3, ABFS, Ozone, and Google Storage (GS) files.
- Job Browser to monitor and manage Hive queries, Impala queries, YARN applications, and Livy Spark jobs.
- Table Browser to explore and manage database tables, schemas, and metadata.
Progression mesurée des étoiles
- in 24h
- 0
- in 7 days
- +1
- in 15 days
- +3
- in 1 month
- Historique en cours
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.
À propos
Open source SQL Query Assistant service for Databases/Warehouses
DonnéesREADME.md
OriginalOverview
Hue is an open-source SQL Assistant for querying databases and data warehouses. Use it to explore your data, write SQL with autocomplete, and share the results.
Key features
- Interactive SQL editor with syntax highlighting and autocomplete.
- File Browser to navigate and operate on HDFS, S3, ABFS, Ozone, and Google Storage (GS) files.
- Job Browser to monitor and manage Hive queries, Impala queries, YARN applications, and Livy Spark jobs.
- Table Browser to explore and manage database tables, schemas, and metadata.
- Table Importer to create Hive and Impala tables from CSV and Excel files, uploaded from your computer or imported from a remote file system (HDFS, S3, ABFS, Ozone, GS).
- Multiple database connectors, including Hive, Impala, MySQL, and PostgreSQL.
Useful links
- Website: gethue.com
- Documentation: docs.gethue.com
- Connect to a database: Connectors
- Build your own editor: SQL Scratchpad
- Query service: Kubernetes setup and API

Get started
- Live demo: demo.gethue.com
- Quick integrations:
Choose a deployment option to start the server. Then configure the databases you want to query.
Docker
Start Hue:
docker run -it -p 8888:8888 gethue/hue:latest
Open http://localhost:8888. The first user to log in becomes the superuser.
Note: The image uses an embedded SQLite database by default. Connect Hue to MySQL or PostgreSQL before real use. See the Docker guide.
Kubernetes
helm repo add gethue https://helm.gethue.com
helm repo update
helm install hue gethue/hue
See the Kubernetes guide and the Hue Helm chart for the configuration options.
Build from source
Hue requires Python 3.11 and Node.js 22.13 or later.
Install the dependencies for your operating system.
Clone the repository and build Hue:
git clone https://github.com/cloudera/hue.git cd hue export PYTHON_VER=python3.11 make appsStart the development server:
build/env/bin/hue runserver
Open http://localhost:8000.
For a development environment in Docker, see Dev Docker. For more details, see the development documentation.
Components
- SQL Editor: interactive query interface.
- SQL Parsers: syntax handling for multiple dialects.
- REST and Python APIs: programmatic access to Hue.
Learn more about the components and the APIs.
Contributing
Contributions are welcome. Read CONTRIBUTING.md to get started.
License
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
78,717 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.
77,895 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.
77,491 étoilesapache/superset
Apache Superset est une plateforme de visualisation et d'exploration de données.
75,522 étoiles