PyPI Stats
maddataanalyst

hextractor

HeXtractor is a tool designed to automatically convert selected data in tabular format into a PyTorch Geometric heterogeneous graph. As research into graph neural networks (GNNs) expands, the importance of heterogeneous graphs grows. However, data often comes in tabular form, and manually transforming this data into graph format can be tedious and error-prone. HeXtractor aims to streamline this process, providing researchers and practitioners with a more efficient workflow.
PyPI GitHub
Downloads
Day
8
Week
18
Month
175
Stars
5
Forks
2
Issues
0
Version
1.0.2

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
20
Popularity
15
Adoption
22
Community
30
How the maintenance status was determined
Last commit
316 days ago
Monthly downloads
175
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
175
Stars
5
Stars per 1k downloads
28.57
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
Needs at least 1,000 monthly downloads to classify popularity.
How download momentum is calculated
Week daily avg
3
Month daily avg
6
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
<4.0,>=3.11
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
BSD-3-Clause
• 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
335 days ago
Total releases
3
Releases/year
2.7
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
4
Monthly downloads
175
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
12
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
200.0%
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

No OS data available

Python Versions

No Python version data available

Top Countries

1. CA CA
1

Dependencies

10

Used By

0
Not used by any tracked packages

Package Information

License
BSD-3-Clause
First Release
March 26, 2025
Last Release
11 months ago
Last Commit
10 months ago
Latest Version
1.0.2
Total Releases
3
Contributors
4
Open PRs
0
Archived
No
Author
Filip
Python Versions
3 3.11 3.12
Keywords
graphs neural networks
Topics
-
Tracking Since
January 14, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links