No known security advisories.
The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
neuralforecast has 345K monthly downloads and 4K GitHub stars. Version 3.1.9 supports Python 3.10+, first published in 2022.
It is actively maintained under a permissive license, last released in May 2026.
It is built on top of coreforecast, fsspec and numpy. It is used by 8 tracked packages, including timecopilot, fintorch and metaforecast.
GitHub topics include deep-learning, forecasting and esrnn.
Package Insights
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
100
Popularity
77
Adoption
75
Community
65
Provenance
100
How the maintenance status was determined
Last commit
2 days ago
Monthly downloads
344,556
•
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
344,556
Stars
4,185
Stars per 1k downloads
12.15
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
11,697
Month daily avg
11,485
Momentum
+1.8%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Python 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
39 days ago
Total releases
43
Releases/year
9.7
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
63
Monthly downloads
344,556
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
78
Issue Burden
3.8
per 1k stars
Discussions
31.8
per 1k stars
Fork Ratio
12.8%
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
4.9K
Windows
238
macOS
69
Python Versions
3.11
48.4%
2.5K
3.12
37.0%
1.9K
3.10
8.2%
413
3.13
5.0%
254
3.14
1.4%
71
Top Countries
1.
US
2.7K
US
2.
IE
1.9K
IE
3.
NL
312
NL
4.
SE
108
SE
5.
DE
89
DE
6.
GE
73
GE
7.
SG
60
SG
8.
PL
52
PL
9.
KR
44
KR
10.
GB
26
GB
Dependencies
11
- coreforecast >=0.0.6
- fsspec
- numpy >=1.21.6
- optuna
- pandas >=1.3.5
- pytorch-lightning <2.6.0,>=2.0.0
- ray >=2.2.0
- scipy
- torch >=2.4.0
- tornado >=6.5.5
- utilsforecast >=0.2.3
GitHub Topics
Tags from the package's GitHub repository describing what it does.
Package Information
License
Apache-2.0
First Release
February 1, 2022
Last Release
1 month ago
Last Commit
3 days ago
Latest Version
3.1.9
Total Releases
43
Contributors
63
Open PRs
5
Archived
No
Python Versions
3.10
3.11
3.12
3.13
Wheels
py3
Keywords
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh