PyPI Stats
Nixtla

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.
PyPI GitHub
Downloads
Day
14.1K
Week
78.0K
Month
333.1K
Stars
4.1K
Forks
487
Issues
56
Version
3.1.7

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
100
Popularity
77
Adoption
75
Community
65
How the maintenance status was determined
Last commit
6 days ago
Monthly downloads
333,068
• 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
333,068
Stars
4,074
Stars per 1k downloads
12.23
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
11,150
Month daily avg
11,102
Momentum
+0.4%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
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-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
26 days ago
Total releases
41
Releases/year
9.6
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
59
Monthly downloads
333,068
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
82
 
Issue Burden
13.7
per 1k stars
Discussions
32.2
per 1k stars
Fork Ratio
12.1%
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 4.3K
Windows 564
macOS 186

Python Versions

3.12
39.0% 1.9K
3.11
29.2% 1.4K
3.13
16.1% 793
3.10
12.0% 590
3.9
3.7% 182

Top Countries

1. US US
3.3K
2. IE IE
714
3. NL NL
341
4. SE SE
122
5. SG SG
81
6. BR BR
75
7. CA CA
71
8. PH PH
71
9. FR FR
68
10. DE DE
49

Dependencies

11
2 optional dependencies

Used By

8

Package Information

License
Apache-2.0
First Release
February 1, 2022
Last Release
3 weeks ago
Last Commit
6 days ago
Latest Version
3.1.7
Total Releases
41
Contributors
59
Open PRs
8
Archived
No
Python Versions
3.10 3.11 3.12 3.13
Wheels
py3
Keywords
time-series forecasting deep-learning
Topics
deep-learning forecasting esrnn nbeats nbeatsx time-series pytorch transformer nhits neural-network machine-learning deep-neural-networks deepar tft robust-regression hierarchical-forecasting probabilistic-forecasting baselines baselines-zoo hint
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links