PyPI Stats
quprep

quprep

QuPrep is an open-source Python library for converting classical datasets into quantum-computing-ready formats. It provides a framework-agnostic preprocessing pipeline with intelligent encoding selection, hardware-aware dimensionality reduction, and multi-framework export support for Qiskit, PennyLane, Cirq, and TKET.
PyPI GitHub
Downloads
Day
54
Week
416
Month
1.6K
Stars
1
Forks
1
Issues
0
Version
0.9.0

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
90
Popularity
7
Adoption
32
Community
30
How the maintenance status was determined
Last commit
5 days ago
Monthly downloads
1,591
• 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
1,591
Stars
1
Stars per 1k downloads
0.63
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
59
Month daily avg
53
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
>=3.10
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
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
5 days ago
Total releases
10
Releases/year
76.0
• 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
2
Monthly downloads
1,591
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
8
 
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. US US
8
2. FR FR
3
3. CN CN
2
4. JP JP
2
5. SE SE
2
6. SG SG
2
7. CA CA
1
8. IL IL
1

Dependencies

4
46 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
Apache License 2.0
First Release
March 19, 2026
Last Release
6 days ago
Last Commit
6 days ago
Latest Version
0.9.0
Total Releases
10
Contributors
2
Open PRs
0
Archived
No
Python Versions
3 3.10 3.11 3.12
Wheels
py3
Keywords
NISQ cirq data preprocessing pennylane qiskit quantum computing quantum machine learning
Topics
cirq machine-learning pennylane preprocessing python qiskit quantum quantum-computing quantum-machine-learning
Tracking Since
March 22, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links