PyPI Stats
hilo-mpc

hilo-mpc

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
PyPI GitHub
Downloads
Day
15
Week
40
Month
408
Stars
200
Forks
36
Issues
17
Version
2.1.1

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
60
Popularity
47
Adoption
26
Community
30
How the maintenance status was determined
Last commit
33 days ago
Monthly downloads
408
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
408
Stars
200
Stars per 1k downloads
490.20
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
14
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
<3.13,>=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
LGPL-3.0
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
59 days ago
Total releases
5
Releases/year
8.9
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
5
Monthly downloads
408
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
55
 
Issue Burden
85.0
per 1k stars
Discussions
40.0
per 1k stars
Fork Ratio
13.9%
contrib / forks
Stale Release
No
 
PR Velocity
Active
 

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
2. US US
1

Dependencies

5
9 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
LGPL-3.0
First Release
October 12, 2025
Last Release
1 month ago
Last Commit
1 month ago
Latest Version
2.1.1
Total Releases
5
Contributors
5
Open PRs
4
Archived
No
Author
Johannes Pohlodek
Python Versions
3 3.10 3.11 3.12
Keywords
machine-learning neural-networks gaussian-processes hybrid-modeling model-based-optimization model-predictive-control mpc trajectory-tracking-mpc path-following-mpc moving-horizon-estimation mhe lqr pid kalman-filters particle-filters
Topics
gaussian-processes hybrid-modeling machine-learning model-predictive-control moving-horizon-estimation neural-networks model-based-optimization kalman-filters particle-filters lqr pid trajectory-tracking-mpc path-following-mpc research-education mpc mhe
Tracking Since
January 14, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links