PyRank
business-science

pytimetk

Time series easier, faster, more fun. Pytimetk.
PyPI GitHub
More links
Download Stats Documentation Homepage
Monthly downloads
15.6K
Weekly downloads
3.7K
GitHub stars
966

Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.

Package Information

Latest Version
2.5.3
Requires Python
>=3.9
Licence
MIT
Last Release
12 hr ago
Author
Business Science
First Release
October 3, 2023
Total Releases
27
Python Versions
3 3.9 3.10 3.11 3.12 3.13
No reported malware or high/critical advisories · Details

The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
90
Popularity
61
Adoption
61
Community
10
Provenance
0
How the maintenance status was determined
Last commit
21 days ago
Monthly downloads
15,600
• 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
15,600
Stars
966
Stars per 1k downloads
61.92
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
533
Month daily avg
520
Momentum
+2.6%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
More insights and metrics
Python version support tiers
requires_python
>=3.9
Cutting Edge
Minimum supported version is 3.14 or newer
Modern
Minimum supported version is 3.11 to 3.13
• Legacy
Supports 3.10 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
0 days ago
Total releases
27
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
9
Monthly downloads
15,600
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
26
 
Issue Burden
0.0
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
10.6%
contrib / forks
Stale Release
No
 
PR Velocity
Quiet
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 43
Windows 1

Python Versions

3.10
31.8% 14
3.12
25.0% 11
3.11
15.9% 7
3.13
13.6% 6
3.9
13.6% 6

Top Countries

1. US US
49
2. HK HK
48
3. SG SG
3
4. FR FR
2
5. NL NL
2
6. DE DE
1

Weekly Downloads

GitHub Stars

Dependencies

18
2 optional dependencies
  • cudf-cu12>=24.10.0[gpu]
    (python_version >= "3.10" and platform_system == "Linux" and (platform_machine == "x86_64" or platform_machine == "aarch64")) and (extra == "gpu" or extra == "gpu-cu12")
  • pomegranate<1.0[regime-backends]
    extra == "regime-backends"

Used By

1

Repository details

Forks
85
Issues
0
Last Commit
3 weeks ago
Contributors
9
Open PRs
0
Archived
No

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
time series forecasting machine learning data science
Sources and methodology