PyPI Stats

synthetic-models

synthetic-models is a virtual cell generation library for generating biological synthetic data that can be used for benchmarking predictive modelling workflows. The synthetic data are generated using ODE models formulated in biochemical laws common in cancer cell signalling networks. Synthetic can create datasets in the format of scikit-learn's make_regression method.
PyPI GitHub
Downloads
Day
142
Week
265
Month
576
Stars
-
Forks
-
Issues
-
Version
0.1.3

Package Insights

What's this?
Score based on PyPI data only — no linked source repository
N/A
Health Score
Not available
requires GitHub data
How the maintenance status was determined
Last release
37 days ago
Monthly downloads
576
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
576
Stars
Unknown
Stars per 1k downloads
—
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
38
Month daily avg
19
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
>=3.11
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
Not specified
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
Package does not declare a license.
How the release cadence was determined
Last release
37 days ago
Total releases
4
Releases/year
35.6
• 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
Unknown
Monthly downloads
576
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
Contributor count is missing — this usually indicates the package has no linked GitHub repository.
Engagement
0
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
-
contrib / forks
Stale Release
No
 
PR Velocity
-
 

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. US US
3
2. CA CA
1

Dependencies

12
5 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
Unknown
First Release
March 26, 2026
Last Release
1 month ago
Last Commit
-
Latest Version
0.1.3
Total Releases
4
Contributors
-
Open PRs
-
Archived
-
Wheels
py3
Topics
-
Tracking Since
March 29, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links