dask / dask-cloudprovider
Cloud provider cluster managers for Dask. Supports AWS, Google Cloud Azure and more...
☆140Updated 2 months ago
Alternatives and similar repositories for dask-cloudprovider:
Users that are interested in dask-cloudprovider are comparing it to the libraries listed below
- Native Kubernetes integration for Dask☆321Updated this week
- A multi-tenant server for securely deploying and managing Dask clusters.☆140Updated last week
- Helm charts for Dask☆95Updated this week
- Docker images for dask☆240Updated last month
- JupyterLab extension for Dask☆322Updated last month
- Pandas ExtensionDType/Array backed by Apache Arrow☆229Updated 2 years ago
- 🪴 Nebari - your open source data science platform☆291Updated this week
- Coming soon☆61Updated last year
- Deploy dask on YARN clusters☆69Updated 8 months ago
- A consistent table management library in python☆159Updated last year
- fsspec-compatible Azure Datake and Azure Blob Storage access☆188Updated 4 months ago
- ☆89Updated 3 months ago
- Data science environments, for collaboration. ✨☆152Updated 2 weeks ago
- Pythonic file-system interface for Google Cloud Storage☆359Updated 3 weeks ago
- Cluster tools for running Dask on Databricks☆13Updated 10 months ago
- Bulwark is a package for convenient property-based testing of pandas dataframes.☆224Updated 4 years ago
- A Delta Lake reader for Dask☆49Updated 6 months ago
- JupyterHub extension for ContainDS Dashboards☆201Updated 8 months ago
- A JupyterLab extension for browsing S3-compatible object storage☆127Updated 7 months ago
- For general discussion and community planning. Discussion issues welcome.☆22Updated 2 years ago
- RFC document, tooling and other content related to the dataframe API standard☆108Updated last year
- A web frontend for scheduling Jupyter notebook reports☆252Updated 4 months ago
- Utilities for Dask and CUDA interactions☆304Updated this week
- Dask integration for Snowflake☆30Updated 5 months ago
- A filesystem-like contents manager for multiple backends in Jupyter☆217Updated 3 weeks ago
- Run code on a Dask cluster via a context manager or IPython magic☆30Updated 3 years ago
- Tools for making Prefect work better for typical data science workflows☆18Updated 3 years ago
- Ray provider for Apache Airflow☆48Updated last year
- Distributed SQL Engine in Python using Dask☆401Updated 7 months ago
- Prefect integrations with the Dask execution framework.☆67Updated 11 months ago