PyPI Stats
JordiCorbilla

riskoptima

The RiskOptima toolkit is a comprehensive Python solution designed to assist investors in evaluating, managing, and optimizing the risk of their investment portfolios. This package implements advanced financial metrics and models to compute key risk indicators, including Value at Risk (VaR), Conditional Value at Risk (CVaR), and volatility assessme
PyPI GitHub
Downloads
Day
107
Week
176
Month
1.4K
Stars
5
Forks
0
Issues
0
Version
2.2.0

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
65
Popularity
10
Adoption
31
Community
0
How the maintenance status was determined
Last commit
136 days ago
Monthly downloads
1,411
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
1,411
Stars
5
Stars per 1k downloads
3.54
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
25
Month daily avg
47
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
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
136 days ago
Total releases
48
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
1
Monthly downloads
1,411
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
5
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
-
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. SG SG
2
2. CA CA
1

Dependencies

10

Used By

0
Not used by any tracked packages

Package Information

License
MIT
First Release
December 30, 2024
Last Release
4 months ago
Last Commit
4 months ago
Latest Version
2.2.0
Total Releases
48
Contributors
1
Open PRs
0
Archived
No
Author
Jordi Corbilla
Python Versions
3 3.11 3.12 3.13
Wheels
py3
Keywords
portfolio risk optimization VaR CVaR backtesting monte-carlo machine-learning random-forest linear-regression gradient-boosting mean-variance black-litterman stochastic-volatility option-pricing black-scholes heston-model merton-jump-diffusion correlation matrix efficient-frontier financial-modeling quantitative-finance Hull-White Heston SABR
Topics
cvar-optimization monte-carlo portfolio-optimization risk-management var-optimization
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links