PyRank
xgboosted

pandas-ta-classic

Technical Analysis Indicators - Pandas TA Classic is an easy to use Python 3 Pandas Extension with 250+ Indicators and Candlestick Patterns
PyPI GitHub
More links
Download Stats Bug Tracker Documentation Repository
Monthly downloads
188.3K
Weekly downloads
54.0K
GitHub stars
452

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

Package Information

Latest Version
0.8.32
Requires Python
>=3.10
Licence
MIT
Last Release
1 month ago
Author
xgboosted
First Release
August 1, 2025
Total Releases
16
Python Versions
3.10 3.11 3.12 3.13 3.14
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
57
Adoption
92
Community
70
Provenance
0
How the maintenance status was determined
Last commit
6 days ago
Monthly downloads
188,341
• 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
188,341
Stars
452
Stars per 1k downloads
2.40
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
7,712
Month daily avg
6,278
Momentum
+22.8%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
More insights and metrics
Python version support tiers
requires_python
>=3.10
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
32 days ago
Total releases
16
Releases/year
13.2
• 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
45
Monthly downloads
188,341
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
72
 
Issue Burden
4.4
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
42.9%
contrib / forks
Stale Release
No
 
PR Velocity
Quiet
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 6.0K
Windows 149
macOS 63

Python Versions

3.12
53.6% 3.3K
3.11
24.9% 1.5K
3.14
10.4% 639
3.13
8.3% 506
3.10
2.8% 171

Top Countries

1. US US
5.1K
2. DE DE
218
3. AT AT
178
4. CA CA
146
5. SG SG
73
6. IN IN
65
7. GB GB
48
8. NL NL
39
9. ES ES
33
10. JP JP
26

Weekly Downloads

GitHub Stars

Dependencies

2
25 optional dependencies

Used By

7

Repository details

Forks
105
Issues
2
Last Commit
6 days ago
Contributors
45
Open PRs
13
Archived
No

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
technical analysis trading python3 pandas
Sources and methodology