{"library":"polars-lts-cpu","title":"Polars (LTS CPU version)","description":"Polars is a blazingly fast DataFrame library for Python, implemented in Rust, designed for performance-critical data manipulation. The `polars-lts-cpu` package specifically provides a long-term support (LTS), CPU-only build of Polars, ensuring stability and a smaller installation footprint without GPU dependencies. It generally follows a slower release cadence than the main `polars` package, focusing on reliability. The current version is 1.33.1.","language":"python","status":"active","last_verified":"Sat May 16","install":{"commands":["pip install polars-lts-cpu"],"cli":null},"imports":["import polars as pl","pl.DataFrame","pl.LazyFrame","pl.Series","pl.col","pl.lit"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"import polars as pl\n\n# Create a DataFrame\ndf = pl.DataFrame(\n    {\n        \"name\": [\"Alice\", \"Bob\", \"Charlie\", \"David\", \"Eve\"],\n        \"age\": [25, 30, 35, 28, 22],\n        \"city\": [\"New York\", \"London\", \"Paris\", \"New York\", \"London\"],\n        \"score\": [90, 85, 92, 78, 95],\n    }\n)\n\n# Perform some operations: filter and group by city, then calculate average score\nresult = (\n    df.filter(pl.col(\"age\") > 25)\n    .group_by(\"city\")\n    .agg(\n        pl.col(\"score\").mean().alias(\"average_score\"),\n        pl.col(\"name\").count().alias(\"num_people\"),\n    )\n    .sort(\"average_score\", descending=True)\n)\n\nprint(\"Original DataFrame:\\n\", df)\nprint(\"\\nProcessed Result:\\n\", result)","lang":"python","description":"This quickstart demonstrates creating a Polars DataFrame, filtering rows based on a condition, grouping data by a categorical column, aggregating results (mean and count), and finally sorting the output. It showcases basic eager DataFrame operations.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":{"tag":null,"tag_description":null,"last_tested":"2026-05-16","installed_version":"1.33.1","pypi_latest":"1.33.1","is_stale":false,"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":2.8,"avg_import_s":0.32,"wheel_type":"wheel"},"results":[{"runtime":"python:3.10-alpine","python_version":"3.10","os_libc":"alpine (musl)","variant":"polars-lts-cpu","exit_code":1,"wheel_type":null,"failure_reason":"build_error","import_side_effects":null,"install_time_s":null,"import_time_s":null,"mem_mb":null,"disk_size":null},{"runtime":"python:3.10-slim","python_version":"3.10","os_libc":"slim (glibc)","variant":"polars-lts-cpu","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":2.8,"import_time_s":0.22,"mem_mb":11.3,"disk_size":"145M"},{"runtime":"python:3.11-alpine","python_version":"3.11","os_libc":"alpine (musl)","variant":"polars-lts-cpu","exit_code":1,"wheel_type":null,"failure_reason":"build_error","import_side_effects":null,"install_time_s":0.1,"import_time_s":null,"mem_mb":null,"disk_size":null},{"runtime":"python:3.11-slim","python_version":"3.11","os_libc":"slim (glibc)","variant":"polars-lts-cpu","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":2.8,"import_time_s":0.38,"mem_mb":12.4,"disk_size":"148M"},{"runtime":"python:3.12-alpine","python_version":"3.12","os_libc":"alpine (musl)","variant":"polars-lts-cpu","exit_code":1,"wheel_type":null,"failure_reason":"build_error","import_side_effects":null,"install_time_s":0.1,"import_time_s":null,"mem_mb":null,"disk_size":null},{"runtime":"python:3.12-slim","python_version":"3.12","os_libc":"slim (glibc)","variant":"polars-lts-cpu","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":2.5,"import_time_s":0.37,"mem_mb":12.2,"disk_size":"140M"},{"runtime":"python:3.13-alpine","python_version":"3.13","os_libc":"alpine (musl)","variant":"polars-lts-cpu","exit_code":1,"wheel_type":null,"failure_reason":"build_error","import_side_effects":null,"install_time_s":null,"import_time_s":null,"mem_mb":null,"disk_size":null},{"runtime":"python:3.13-slim","python_version":"3.13","os_libc":"slim (glibc)","variant":"polars-lts-cpu","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":2.6,"import_time_s":0.36,"mem_mb":11.5,"disk_size":"139M"},{"runtime":"python:3.9-alpine","python_version":"3.9","os_libc":"alpine (musl)","variant":"polars-lts-cpu","exit_code":1,"wheel_type":null,"failure_reason":"build_error","import_side_effects":null,"install_time_s":null,"import_time_s":null,"mem_mb":null,"disk_size":null},{"runtime":"python:3.9-slim","python_version":"3.9","os_libc":"slim (glibc)","variant":"polars-lts-cpu","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":3.3,"import_time_s":0.28,"mem_mb":11.6,"disk_size":"145M"}]}}