PyRank
precisiondata

aatm

Any-to-Any Terminology Mapping (AATM) is a framework for creating mappings between different terminologies or vocabularies. It uses OHDSI standard vocabularies and data models as a basis for mapping, and can be used to create mappings between any two terminologies or vocabularies. AATM is designed to be flexible and extensible, allowing users to create mappings for a wide range of use cases.
PyPI GitHub
No known security advisories. The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
Downloads
Day
39
Week
292
Month
4.0K
Stars
2
Forks
0
Issues
2
Version
0.1.7

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
70
Popularity
6
Adoption
36
Community
0
Provenance
0
How the maintenance status was determined
Last commit
28 days ago
Monthly downloads
3,996
• 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
3,996
Stars
2
Stars per 1k downloads
0.50
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
42
Month daily avg
133
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
Python 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
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
28 days ago
Total releases
8
Releases/year
94.2
• 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
1
Monthly downloads
3,996
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
5
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
-
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

No OS data available

Python Versions

No Python version data available

Top Countries

1. RU RU
13
2. NL NL
9
3. US US
4

Dependencies

21
15 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
MIT
First Release
June 6, 2026
Last Release
4 weeks ago
Last Commit
4 weeks ago
Latest Version
0.1.7
Total Releases
8
Contributors
1
Open PRs
0
Archived
No
Author
Vinicius Anjos de Almeida
Wheels
py3
Tracking Since
June 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh

Links