PyRank
thekaveh

thekaveh-nnx

Lightweight PyTorch toolkit for training, fine-tuning, and exporting modern neural nets. FFN + GNN + decoder-only LM + diffusion + JEPA + MoE; PEFT (LoRA/DoRA/IA3/Prefix/Prompt), PTQ/QAT, pruning, surgery; ONNX/GGUF/Ollama/HuggingFace Hub interop. Dataclass-configured runs with fluent builders, automatic checkpointing, and Plotly viz.
PyPI GitHub Verified repo
No known security advisories. The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
Downloads
Day
208
Week
409
Month
1.1K
Stars
2
Forks
0
Issues
0
Version
0.2.0

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
60
Popularity
6
Adoption
30
Community
10
Provenance
100
How the maintenance status was determined
Last commit
4 days ago
Monthly downloads
1,117
• 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
1,117
Stars
2
Stars per 1k downloads
1.79
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
58
Month daily avg
37
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
>=3.10
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
• 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
22 days ago
Total releases
1
Releases/year
16.6
• 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
2
Monthly downloads
1,117
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
17
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
-
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

Linux 164
macOS 1

Python Versions

3.11
100.0% 165

Top Countries

1. US US
165

Dependencies

11
26 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
MIT
First Release
June 14, 2026
Last Release
3 weeks ago
Last Commit
4 days ago
Latest Version
0.2.0
Total Releases
1
Contributors
2
Open PRs
2
Archived
No
Python Versions
3 3.10 3.11 3.12
Keywords
pytorch deep-learning graph-neural-networks training checkpointing callbacks experiments reproducibility neural-networks research quantization language-model transformer lora peft diffusion knowledge-distillation embeddings rag pruning model-surgery onnx gguf qat huggingface safetensors ollama self-supervised-learning jepa dpo moe learning-rate-finder
Tracking Since
June 14, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh

Links