PyPI Stats
Nixtla

hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
PyPI GitHub
Downloads
Day
14.4K
Week
69.7K
Month
344.1K
Stars
743
Forks
97
Issues
2
Version
1.5.1

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
90
Popularity
60
Adoption
55
Community
50
How the maintenance status was determined
Last commit
13 days ago
Monthly downloads
344,102
• 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
344,102
Stars
743
Stars per 1k downloads
2.16
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
9,955
Month daily avg
11,470
Momentum
-13.2%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
<4.0,>=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 Software 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
63 days ago
Total releases
26
Releases/year
6.7
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
36
Monthly downloads
344,102
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
70
 
Issue Burden
2.7
per 1k stars
Discussions
53.8
per 1k stars
Fork Ratio
37.1%
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

Linux 6.0K
Windows 37
macOS 24

Python Versions

3.11
72.2% 4.3K
3.12
23.4% 1.4K
3.10
2.6% 156
3.13
1.0% 60
3.14
0.7% 44

Top Countries

1. US US
4.1K
2. IE IE
1.8K
3. NL NL
37
4. DE DE
34
5. IN IN
34
6. JP JP
22
7. SG SG
20
8. AU AU
6
9. CA CA
5
10. AT AT
4

Dependencies

7

Used By

2

Package Information

License
Apache Software License 2.0
First Release
June 22, 2022
Last Release
2 months ago
Last Commit
1 week ago
Latest Version
1.5.1
Total Releases
26
Contributors
36
Open PRs
4
Archived
No
Python Versions
3.10 3.11 3.12 3.13 3.14
Wheels
cp310 cp311 cp312 cp313 py3
Keywords
time-series forecasting datasets hierarchical
Topics
econometrics forecasting forecasting-models statistics time-series coherent hierarchical hierarchical-forecast bottomup erm mint topdown reconciliation middleout permbu python time-series-forecasting timeseries probabilistic-models baselines
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links