PyPI Stats
BrikerMan

kashgari-tf

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (BrikerMan/Kashgari) with 1 other package. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
7
Week
30
Month
429
Stars
2.4K
Forks
432
Issues
27
Version
0.5.5

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
30
Popularity
73
Adoption
26
Community
40
How the maintenance status was determined
Last commit
1762 days ago
Monthly downloads
429
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
429
Stars
2,384
Stars per 1k downloads
5557.11
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
Needs at least 1,000 monthly downloads to classify popularity.
How download momentum is calculated
Week daily avg
4
Month daily avg
14
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
>3.6
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
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
2392 days ago
Total releases
10
Releases/year
1.5
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
17
Monthly downloads
429
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
46
 
Issue Burden
11.3
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
3.9%
contrib / forks
Stale Release
629d
 
PR Velocity
Quiet
 

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. CA CA
1
2. US US
1

Dependencies

8

Used By

1

Package Information

License
Apache License 2.0
First Release
July 1, 2019
Last Release
6 years ago
Last Commit
4 years ago
Latest Version
0.5.5
Total Releases
10
Contributors
17
Open PRs
1
Archived
No
Author
BrikerMan
Python Versions
3.6
Wheels
py3
Topics
nlp sequence-labeling text-classification bert-model ner machine-learning nlp-framework named-entity-recognition gpt-2 transfer-learning seq2seq bert text-labeling
Tracking Since
January 14, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links