Package Insights
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
10
Popularity
64
Adoption
60
Community
55
How the maintenance status was determined
Last commit
226 days ago
Monthly downloads
112,063
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
112,063
Stars
1,020
Stars per 1k downloads
9.10
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
3,401
Month daily avg
3,735
Momentum
-9.0%
((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
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
226 days ago
Total releases
1
Releases/year
0.1
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
36
Monthly downloads
112,063
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
59
Issue Burden
29.4
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
21.6%
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
1.7K
Windows
408
macOS
208
Python Versions
3.12
42.3%
915
3.11
27.7%
598
3.10
14.1%
305
3.13
10.3%
223
3.14
5.6%
121
Top Countries
1.
US
1.5K
US
2.
SG
98
SG
3.
JP
80
JP
4.
GB
63
GB
5.
CN
55
CN
6.
DE
39
DE
7.
AU
38
AU
8.
KR
37
KR
9.
NL
34
NL
10.
IN
31
IN
Dependencies
4
- importlib-resources
- mido >=1.1.16
- numpy >=1.7.0
- six
1 optional dependencies
- pyfluidsynth[fluidsynth]
Used By
56
- basic-pitch
- note-seq
- sinethesizer
- libfmp
- mirdata
- shaderflow
- magenta
- beatcraft
- transkun
- omnizart
- melody-features
- accompy
- synctoolbox
- slakh-dataset
- amads
- fortepyan
- acids-dataset
- mt3-infer
- pitchbench
- amt-augpy1-0
- dattri
- remi-z
- audidata
- crepe-notes
- fcp-midi
- riffly
- magenta-gpu
- asmd
- robopianist
- wii-music-editor
- midi-neural-processor
- dodecaphony
- chord-progressions
- tuttut
- lv-chordia
- tokensynth
- midiogre
- musicir
- cosmodoit
- reaper-mcp
- pytunesmith
- truffle-ai-music-creator-mcp
- midiviz
- mt3-audio2midi
- pymv2h
- mdpw
- musion
- pyw-musicparser
- flocoder
- openmirlab-sheetsage-infer