Package Insights
Package Risks
- No releases in 866 days despite active commits
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
80
Popularity
81
Adoption
69
Community
70
How the maintenance status was determined
Last commit
65 days ago
Monthly downloads
826,477
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
826,477
Stars
5,082
Stars per 1k downloads
6.15
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
27,559
Month daily avg
27,549
Momentum
+0.0%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Python version support tiers
requires_python
Not specified
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
Package does not declare a minimum Python version.
License categories
License
The MIT 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
932 days ago
Total releases
56
Releases/year
6.9
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
30
Monthly downloads
826,477
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
68
Issue Burden
23.8
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
2.6%
contrib / forks
Stale Release
866d
PR Velocity
Active
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
20.9K
Windows
2.1K
macOS
736
Python Versions
3.11
36.3%
7.6K
3.12
35.6%
7.5K
3.9
9.9%
2.1K
3.14
9.7%
2.0K
3.10
8.4%
1.8K
Top Countries
1.
US
16.6K
US
2.
DE
881
DE
3.
IN
749
IN
4.
GB
704
GB
5.
SG
497
SG
6.
NL
422
NL
7.
TW
414
TW
8.
FR
309
FR
9.
CN
295
CN
10.
KR
265
KR
Dependencies
0
No dependencies
Used By
78
- finmind
- pyharmonics
- prospectai
- qka
- fudstop
- pylabwons
- advanced-ta
- risklabai
- hyperliquidagent
- koreanstocks
- tensortrade
- fincept-terminal
- agentlin
- fmp-py
- quantvn
- financekit-mcp
- stratestic
- azapy
- ezyquant
- nfinance
- quick-trade
- finance-mcp-server
- pyttrading
- meridianalgo
- aiforecastts
- py-alpaca-daily-losers
- yfinance-fetch
- gfinancelib
- vibetrading
- neuralstockprophet
- stock-tracker-cli
- ve-metagpt
- jpstock-agent
- stockait
- quant-invest-lab
- rollercoaster
- mt5-mcp
- statistical-stocks-ta
- metagpt-simple
- ehlek
- sixtysix
- hidden-regime
- lxfx
- stonks-trader
- pinetopy
- quant-drl-core
- sirifi
- iflow-mcp-quantml-com-ai-kline
- almaindicate
- autofcholv
GitHub Topics
Tags from the package's GitHub repository describing what it does.
Package Information
License
The MIT License (MIT)
First Release
April 6, 2018
Last Release
2 years ago
Last Commit
2 months ago
Latest Version
0.11.0
Total Releases
56
Contributors
30
Open PRs
34
Archived
No
Author
Dario Lopez Padial (Bukosabino)
Python Versions
3.6
3.7
Tracking Since
January 6, 2026
Data Updated
May 17, 2026
Data Freshness
Fresh