PyRank
apache

apache-airflow-providers-apache-hive

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
PyPI GitHub
No known security advisories. The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

apache-airflow-providers-apache-hive has 414K monthly downloads and 46K GitHub stars. Version 9.5.0 supports Python 3.10+, first published in 2020.

It is actively maintained under a permissive license, last released in May 2026.

It is built on top of apache-airflow, apache-airflow-providers-common-compat and apache-airflow-providers-common-sql.

GitHub topics include airflow, apache and apache-airflow.

Downloads
Day
13.1K
Week
90.5K
Month
413.8K
Stars
46.0K
Forks
17.4K
Issues
1.1K
Version
9.5.0

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
100
Popularity
95
Adoption
66
Community
100
Provenance
0
How the maintenance status was determined
Last commit
0 days ago
Monthly downloads
413,798
• 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
413,798
Stars
46,044
Stars per 1k downloads
111.27
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
12,928
Month daily avg
13,793
Momentum
-6.3%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
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
Apache-2.0
• 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
44 days ago
Total releases
150
Releases/year
26.5
• 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
3,950
Monthly downloads
413,798
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
100
 
Issue Burden
24.9
per 1k stars
Discussions
108.0
per 1k stars
Fork Ratio
22.8%
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 9.1K
Windows 2

Python Versions

3.11
46.4% 4.1K
3.12
24.1% 2.1K
3.10
11.6% 1.0K
3.13
9.3% 826
3.14
8.6% 766

Top Countries

1. US US
7.5K
2. SG SG
602
3. JP JP
448
4. IE IE
214
5. KR KR
147
6. DE DE
123
7. GB GB
115
8. FR FR
60
9. AU AU
43
10. TH TH
13

Dependencies

7
9 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
Apache-2.0
First Release
November 9, 2020
Last Release
1 month ago
Last Commit
13 hr ago
Latest Version
9.5.0
Total Releases
150
Contributors
3,950
Open PRs
523
Archived
No
Python Versions
3.10 3.11 3.12 3.13 3.14
Wheels
py3
Keywords
airflow-provider apache.hive airflow integration
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh

Links