PyRank
erfanzar

easydel

Accelerate, Optimize performance with streamlined training and serving options with JAX.
PyPI GitHub
More links
Download Stats Documentation
Monthly downloads
1.8K
Weekly downloads
598
GitHub stars
375

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

Package Information

Latest Version
0.3.0
Requires Python
<3.14,>=3.11
Licence
Apache-2.0
Last Release
2 months ago
Author
Erfan Zare Chavoshi
First Release
April 9, 2023
Total Releases
48
Python Versions
3.11 3.12 3.13
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
65
Popularity
53
Adoption
32
Community
45
Provenance
0
How the maintenance status was determined
Last commit
177 days ago
Monthly downloads
1,842
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
1,842
Stars
375
Stars per 1k downloads
203.58
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
85
Month daily avg
61
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.
More insights and metrics
Python version support tiers
requires_python
<3.14,>=3.11
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-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
81 days ago
Total releases
48
Releases/year
13.6
• 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
12
Monthly downloads
1,842
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
65
 
Issue Burden
32.0
per 1k stars
Discussions
48.0
per 1k stars
Fork Ratio
23.5%
contrib / forks
Stale Release
No
 
PR Velocity
Active
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 10
macOS 1

Python Versions

3.12
90.9% 10
3.13
9.1% 1

Top Countries

1. US US
359
2. CN CN
2
3. DE DE
2

Weekly Downloads

GitHub Stars

Dependencies

25
16 optional dependencies
  • ejkernel==0.0.78[tpu]
    extra == "tpu"
  • ejkernel==0.0.78[cuda]
    extra == "cuda"
  • eopod==0.0.36[podutils]
    extra == "podutils"
  • jax>=0.9.2[tpu]
    extra == "tpu"
  • jax>=0.9.2[cuda]
    extra == "cuda"
  • lm-eval~=0.4.11[lm-eval]
    extra == "lm-eval"
  • tb-nightly>=2.21.0a20250820[profile]
    extra == "profile"
  • tensorboard>=2.19.0[torch]
    extra == "torch"
  • tensorboard>=2.19.0[tpu]
    extra == "tpu"
  • tensorboard>=2.19.0[cuda]
    extra == "cuda"
  • tensorflow~=2.19.0[tensorflow]
    extra == "tensorflow"
  • tensorflow-datasets~=4.9.9[tensorflow]
    extra == "tensorflow"
  • torch==2.8.0[cuda]
    extra == "cuda"
  • torch==2.8.0[torch]
    extra == "torch"
  • xprof>=2.20.6[profile]
    extra == "profile"
  • xprof-nightly>=2.21.6a20250820[profile]
    extra == "profile"

Used By

0
Not used by any tracked packages

Repository details

Forks
51
Issues
12
Last Commit
5 months ago
Contributors
12
Open PRs
9
Archived
No
GitHub Topics

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
Deep Learning Machine Learning JAX CUDA XLA Triton Pallas
Sources and methodology