PyRank
dhruvdcoder

xlm-core

xLM is a modular, research-friendly framework for developing and comparing non-autoregressive language models. Built on PyTorch and PyTorch Lightning, with Hydra for configuration management, XLM makes it effortless to experiment with cutting-edge NAR LM architectures.
PyPI GitHub
No known security advisories. The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
Shared Repository
This package shares its GitHub repository (dhruvdcoder/xlm-core) with 1 other package. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
30
Week
96
Month
1.6K
Stars
27
Forks
1
Issues
10
Version
0.3.1

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
80
Popularity
23
Adoption
31
Community
20
Provenance
0
How the maintenance status was determined
Last commit
7 days ago
Monthly downloads
1,550
• 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
1,550
Stars
27
Stars per 1k downloads
17.42
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
14
Month daily avg
52
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
Python version support tiers
requires_python
>=3.11
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
Not specified
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
Package does not declare a license.
How the release cadence was determined
Last release
27 days ago
Total releases
9
Releases/year
15.1
• 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
5
Monthly downloads
1,550
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
29
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
500.0%
contrib / forks
Stale Release
No
 
PR Velocity
Active
 

Weekly Downloads

GitHub Stars

Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

No OS data available

Python Versions

No Python version data available

Top Countries

1. US US
9
2. AU AU
4

Dependencies

24
38 optional dependencies

Used By

1
GitHub Topics
Tags from the package's GitHub repository describing what it does.

Package Information

License
Unknown
First Release
December 1, 2025
Last Release
3 weeks ago
Last Commit
1 week ago
Latest Version
0.3.1
Total Releases
9
Contributors
5
Open PRs
3
Archived
No
Author
Dhruvesh Patel, Benjamin Rozonoyer, Sai Sreenivas Chintha, Durga Prasad Maram
Python Versions
3.11
Wheels
py3
Keywords
AI ML Machine Learning Deep Learning Non-Autoregressive Language Models
Tracking Since
January 14, 2026
Data Updated
June 28, 2026
Data Freshness
Stale

Links