Monthly downloads
113
Weekly downloads
39
GitHub stars
35
Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.
Package Information
Latest Version
Requires Python
>=3.9
Licence
MIT
Last Release
-
First Release
June 11, 2026
Total Releases
2
Python Versions
3
3.9
3.10
3.11
3.12
3.13
No reported malware or high/critical advisories · Details
The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
Package Insights
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
50
Popularity
26
Adoption
20
Community
15
Provenance
0
How the maintenance status was determined
Last commit
32 days ago
Monthly downloads
113
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
113
Stars
35
Stars per 1k downloads
309.73
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
6
Month daily avg
4
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
More insights and metrics
Python version support tiers
requires_python
>=3.9
Cutting Edge
Minimum supported version is 3.14 or newer
Modern
Minimum supported version is 3.11 to 3.13
•
Legacy
Supports 3.10 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
MIT
•
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
128 days ago
Total releases
2
Releases/year
5.7
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
3
Monthly downloads
113
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
39
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
150.0%
contrib / forks
Stale Release
95d
PR Velocity
Active
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
1
CA
Weekly Downloads
GitHub Stars
Dependencies
2
15 optional dependencies
-
matplotlib>=3.5.0[examples]extra == "examples"
-
mypy>=1.0[dev]extra == "dev"
-
myst-parser>=0.18.0[docs]extra == "docs"
-
pytest>=7.0[dev]extra == "dev"
-
pytest-cov>=4.0[dev]extra == "dev"
-
ruff>=0.4.0[dev]extra == "dev"
-
scikit-learn>=1.0.0[benchmark]extra == "benchmark"
-
scikit-learn>=1.0.0[datasets]extra == "datasets"
-
scikit-learn>=1.0.0[examples]extra == "examples"
-
sphinx>=4.0.0[docs]extra == "docs"
-
sphinx-autodoc-typehints>=1.12.0[docs]extra == "docs"
-
sphinx-rtd-theme>=1.0.0[docs]extra == "docs"
-
torch>=2.0.0[benchmark]extra == "benchmark"
-
torch-hd>=5.0.0[benchmark]extra == "benchmark"
-
tqdm>=4.62.0[examples]extra == "examples"
Used By
0
Not used by any tracked packages
Repository details
Data and sources
Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
hyperdimensional computing
hyperdimensional-computing
vector symbolic architectures
vector-symbolic-architectures
VSA
HDC
Bayesian hyperdimensional computing
probabilistic vector symbolic architectures
PVSA
uncertainty quantification
calibrated retrieval
calibration
anomaly detection
anomaly-detection
outlier detection
conformal anomaly detection
one-shot learning
novelty detection
conformal prediction
temperature scaling
Gaussian hypervectors
Dirichlet hypervectors
JAX
pytree
vmap
pmap
neuromorphic
edge ML
Bayesian machine learning
probabilistic machine learning
machine learning
scientific computing