PyRank
NVIDIA

tensorrt-llm

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
PyPI GitHub
More links
Download Stats
Monthly downloads
18.7K
Weekly downloads
3.9K
GitHub stars
14.8K

Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.

Package Information

Latest Version
1.2.1
Requires Python
<4,>=3.10
Licence
Apache License 2.0
Last Release
5 months ago
Author
NVIDIA Corporation
First Release
October 20, 2023
Total Releases
154
Python Versions
3.10 3.12
No reported malware or high/critical advisories · Details

The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
100
Popularity
88
Adoption
42
Community
80
Provenance
0
How the maintenance status was determined
Last commit
6 days ago
Monthly downloads
18,741
• 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
18,741
Stars
14,788
Stars per 1k downloads
789.07
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
557
Month daily avg
625
Momentum
-10.8%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
More insights and metrics
Python version support tiers
requires_python
<4,>=3.10
Cutting Edge
Minimum supported version is 3.14 or newer
Modern
Minimum supported version is 3.11 to 3.13
• Legacy
Supports 3.10 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
Apache License 2.0
• 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
179 days ago
Total releases
154
Releases/year
51.5
• 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
615
Monthly downloads
18,741
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
93
 
Issue Burden
42.6
per 1k stars
Discussions
12.2
per 1k stars
Fork Ratio
21.9%
contrib / forks
Stale Release
173d
 
PR Velocity
Active
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 147
macOS 31
Windows 2

Python Versions

3.12
62.1% 110
3.10
23.2% 41
3.11
9.6% 17
3.13
4.0% 7
3.14
1.1% 2

Top Countries

1. CN CN
354
2. US US
159
3. JP JP
28
4. CH CH
18
5. SG SG
16
6. DE DE
8
7. KR KR
4
8. NL NL
3
9. FR FR
2
10. IN IN
2

Weekly Downloads

GitHub Stars

Dependencies

79
39 optional dependencies

Used By

1

Repository details

Forks
2.8K
Issues
630
Last Commit
6 days ago
Contributors
615
Open PRs
978
Archived
No

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
nvidia tensorrt deeplearning inference
Sources and methodology