No known security advisories.
The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
polars-lts-cpu has 537K monthly downloads and 39K GitHub stars. Version 1.33.1 supports Python 3.9+, first published in 2022.
It is actively maintained under a permissive license, last released in Sep 2025.
It is used by 34 tracked packages, including infinity-sdk, polars-pf and datahub-binary.
GitHub topics include dataframe-library, dataframe and dataframes.
Package Insights
Package Risks
- No releases in 298 days despite active commits
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
100
Popularity
94
Adoption
67
Community
70
Provenance
100
How the maintenance status was determined
Last commit
3 days ago
Monthly downloads
536,965
•
Active
Activity within 30 days
Stable
Activity within 31-180 days
Minimal
Activity within 181-365 days, or no activity data
At Risk
No activity for > 365 days, but > 10,000 monthly downloads
Archived
Repository flagged as archived on GitHub
How the popularity category was determined
Monthly downloads
536,965
Stars
38,926
Stars per 1k downloads
72.49
Industry Standard
> 10,000,000 monthly downloads
Hidden Gem
< 0.5 stars per 1k downloads and > 100,000 monthly downloads
•
Community Favorite
> 5 stars per 1k downloads
Rising Star
Balanced ratio of stars to downloads
Unknown
Fewer than 1,000 monthly downloads, or no star data
How download momentum is calculated
Week daily avg
16,641
Month daily avg
17,899
Momentum
-7.0%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Python version support tiers
requires_python
>=3.9
Cutting Edge
Minimum supported version is 3.12 or newer
•
Modern
Minimum supported version is 3.9, 3.10, or 3.11
Legacy
Supports 3.8 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
MIT License
•
Permissive
MIT, Apache, BSD, ISC, Unlicense, CC0, etc.
Copyleft
GPL, LGPL, AGPL, MPL, EPL, etc.
Proprietary
Commercial, all rights reserved, custom EULAs
Unknown
No license specified, or none of the above match
How the release cadence was determined
Last release
301 days ago
Total releases
212
Releases/year
55.0
•
Rapid
Last release within 365 days and > 12 releases/year
Regular
Last release within 365 days
Slow
Last release 366-730 days ago
Stalled
Last release > 730 days ago, or no releases
Unknown
No usable release date available
How contributor risk was determined
Contributors
716
Monthly downloads
536,965
High Load
≤ 2 contributors and ≥ 50,000 monthly downloads
Moderate Load
< 10 contributors and ≥ 500,000 monthly downloads
Low Load
< 25 contributors and ≥ 5,000,000 monthly downloads, or sole maintainer with ≥ 10,000 monthly downloads
•
Balanced
Enough contributors for the package's popularity
Unknown
No contributor data available
Engagement
62
Issue Burden
64.1
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
24.4%
contrib / forks
Stale Release
298d
PR Velocity
Quiet
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
4.8K
Windows
89
macOS
30
Python Versions
3.12
39.4%
1.8K
3.11
20.6%
955
3.13
18.6%
863
3.9
14.3%
665
3.10
7.0%
326
Top Countries
1.
US
4.0K
US
2.
DE
279
DE
3.
IE
212
IE
4.
SG
199
SG
5.
CN
152
CN
6.
HK
51
HK
7.
FI
39
FI
8.
TW
38
TW
9.
JP
37
JP
10.
FR
36
FR
Dependencies
0
28 optional dependencies
- adbc-driver-manager[adbc]
- adbc-driver-sqlite[adbc]
- altair[plot]
- cloudpickle[cloudpickle]
- connectorx[connectorx]
- cudf-polars-cu12[gpu]
- deltalake[deltalake]
- fastexcel[calamine]
- fsspec[fsspec]
- gevent[async]
- great-tables[style]
- matplotlib[graph]
- numpy[numpy]
- openpyxl[openpyxl]
- pandas[pandas]
- polars-cloud[polars-cloud]
- polars-lts-cpu[all]
- polars-lts-cpu[database]
- polars-lts-cpu[excel]
- polars-lts-cpu[pandas]
- polars-lts-cpu[sqlalchemy]
- pyarrow[pyarrow]
- pydantic[pydantic]
- pyiceberg[iceberg]
- sqlalchemy[sqlalchemy]
- tzdata[timezone]
- xlsx2csv[xlsx2csv]
- xlsxwriter[xlsxwriter]
Used By
34
- infinity-sdk
- polars-pf
- datahub-binary
- vibefoundry
- zensvi
- wombat
- bfabric
- ds20kdb-avt
- net-revenue-rgm
- edge-containers-cli
- klaw-dbase
- servextools
- isa-data
- meta-agents-research-environments
- polars-ds-lts-cpu
- avin-data
- polars-hash-lts-cpu
- leafletsc
- fluentui
- midr
- masato
- polars-holidays
- corgias
- easy-amplicon
- mch-extract
- matrix-validator
- wrang
- multiqc-celescope
- se2dataanalysis
- matpublib
- multiqc-vlad
- monarch-converter
- doiget-tdm
- pvcast
GitHub Topics
Tags from the package's GitHub repository describing what it does.
Package Information
License
MIT License
First Release
August 29, 2022
Last Release
10 months ago
Last Commit
4 days ago
Latest Version
1.33.1
Total Releases
212
Contributors
716
Open PRs
301
Archived
No
Python Versions
3
3.9
3.10
3.11
3.12
3.13
Wheels
cp37
cp38
cp39
Keywords
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh