Package Insights
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
65
Popularity
62
Adoption
44
Community
50
How the maintenance status was determined
Last commit
149 days ago
Monthly downloads
27,936
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
27,936
Stars
882
Stars per 1k downloads
31.57
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
803
Month daily avg
931
Momentum
-13.8%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Python version support tiers
requires_python
<=3.13,>=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
Retentioneering Software Non-Exclusive License
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
140 days ago
Total releases
56
Releases/year
7.9
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
31
Monthly downloads
27,936
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
47
Issue Burden
3.4
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
23.3%
contrib / forks
Stale Release
No
PR Velocity
Quiet
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
1
Python Versions
3.7
100.0%
1
Top Countries
1.
HU
406
HU
2.
US
3
US
3.
CA
1
CA
4.
SG
1
SG
Dependencies
15
- anywidget <0.10.0,>=0.9.18
- docrep <0.4.0,>=0.3.2
- ipython <9,>=8
- matplotlib >=3.7.2
- nanoid <3.0.0,>=2.0.0
- networkx <4,>=3.4
- numpy !=1.24,<3,>=1.23
- pandas <3,>=2.2.3
- plotly >=5.10.0
- pydantic <2,>=1.10.20
- scikit-learn <2,>=1.6
- scipy <2,>=1.11.2
- seaborn >=0.12.1
- statsmodels >=0.14.0
- umap-learn >=0.5.3
Used By
0
Not used by any tracked packages
Package Information
License
Retentioneering Software Non-Exclusive License
First Release
April 2, 2019
Last Release
4 months ago
Last Commit
4 months ago
Latest Version
4.0.0rc14
Total Releases
56
Contributors
31
Open PRs
1
Archived
No
Author
Retentioneering User Trajectory Analysis Lab
Python Versions
3
Wheels
py3
Topics
product-analytics
user-trajectories-analysis
machine-learning
predictive-analytics
predictive-modeling
clickstream
business-intelligence
segmentation
customer-segmentation
graph-visualizer
user-trajectories
web-analytics
pandas
behaviour-analysis
customer-journey-map
python
library
data-visualization
machinelearning
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh