{"author":null,"author_email":"Polars ","bugtrack_url":null,"classifiers":["Development Status :: 1 - Planning","Environment :: Console","Intended Audience :: Science/Research","License :: OSI Approved :: MIT License","Operating System :: OS Independent","Programming Language :: Python","Programming Language :: Python :: 3","Programming Language :: Python :: 3 :: Only","Programming Language :: Python :: 3.10","Programming Language :: Python :: 3.11","Programming Language :: Python :: 3.12","Programming Language :: Python :: 3.13","Programming Language :: Python :: 3.9","Topic :: Scientific/Engineering"],"description":"![Image showing the Polars Cloud logo](https://raw.githubusercontent.com/pola-rs/polars-static/ce84036de7e939a82eb57c88056244c17f35fdba/logos/polars_cloud_logo_blue.svg)\n\n

\n \n $\"PyPi$ \n \n\nDocumentation\n|\nStack Overflow\n|\nUser guide\n|\nDiscord\n\n

\n\n# Polars Cloud: Run your queries at scale, anywhere\n\nBuilt on top of the popular open source project, Polars Cloud enables you to write DataFrame code\nonce and run it anywhere. The distributed engine available with Polars Cloud allows you to scale\nyour Polars queries beyond a single machine.\n\n## Key Features of Polars Cloud\n\n- **Unified DataFrame Experience**: Run a Polars query seamlessly on your local machine or at scale with our new\n distributed engine. All from the same API.\n- **Serverless Compute**: Effortlessly start compute resources without managing infrastructure, with options to run\n queries on both CPU and GPU.\n- **Any Environment**: Start a remote query from a notebook on your machine, Airflow DAG, AWS Lambda, or any server.\n Get the flexibility to embed Polars Cloud in any environment.\n\n## Install Polars Cloud\n\nTo use Polars cloud simply add it to your existing project\n\n```bash\npip install polars_cloud\n```\n\nThen call `.remote()` on your dataframe and provide a compute context.\n\n```python\nimport polars as pl\nimport polars_cloud as pc\n\nctx = pc.ComputeContext(cpus=16, memory=64)\n\nquery = (\n pl.scan_parquet(\"s3://my-dataset/\")\n .group_by(\"returned\", \"status\")\n .agg(\n avg_price=pl.mean(\"price\"),\n avg_disc=pl.mean(\"discount\"),\n count_order=pl.len(),\n )\n)\n\nquery.remote(ctx).write_parquet(\"s3://my-destination/\")\n```\n\nHit run and your query will be executed in the cloud. You can follow your query's progress\non [the dashboard](https://cloud.pola.rs/portal/dashboard). And once your first query is done it's time to increase your\ndataset size and up the core count.\n\n## Sign up today and start for free\n\nPolars Cloud is still in an early development stage and available at no extra cost. You only pay for the resources\nyou use in your own cloud environment. [Sign up today](https://cloud.pola.rs/) to run your first cloud query!\n\n## Cloud availability\n\nCurrently, Polars Cloud is available on AWS. Other cloud providers and on-premise solutions are on the roadmap and will\nbecome available in the upcoming months.\n\n","description_content_type":"text/markdown; charset=UTF-8; variant=GFM","docs_url":null,"download_url":null,"downloads":{"last_day":-1,"last_month":-1,"last_week":-1},"dynamic":null,"home_page":"https://www.pola.rs/","keywords":null,"license":"MIT","license_expression":null,"license_files":["LICENSE"],"maintainer":null,"maintainer_email":null,"name":"polars-cloud","package_url":"https://pypi.org/project/polars-cloud/","platform":null,"project_url":"https://pypi.org/project/polars-cloud/","project_urls":{"Homepage":"https://cloud.pola.rs/"},"provides_extra":null,"release_url":"https://pypi.org/project/polars-cloud/0.0.9/","requires_dist":["polars<1.31,>=1.30","typing-extensions>=4.0; python_full_version < \"3.12\""],"requires_python":">=3.9","summary":"Execute your Polars workloads in the cloud","version":"0.0.9","yanked":false,"yanked_reason":null}

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Dependency	Optional
polars	false
typing-extensions	false

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