PyRank
exasol

pyexasol

Exasol Python driver with low overhead, fast HTTP transport and compression
PyPI GitHub
No known security advisories. The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

pyexasol has 6.7M monthly downloads and 80 GitHub stars. Version 2.2.2 supports Python <3.15,>=3.10, first published in 2018.

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

It is built on top of cryptography, packaging and websocket-client. It is used by 20 tracked packages, including dbt-exasol, sqlalchemy-exasol and apache-airflow-providers-exasol.

GitHub topics include exasol, database and driver.

Downloads
Day
185.6K
Week
1.4M
Month
6.7M
Stars
80
Forks
39
Issues
27
Version
2.2.2

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
90
Popularity
42
Adoption
60
Community
60
Provenance
0
How the maintenance status was determined
Last commit
12 days ago
Monthly downloads
6,685,116
• 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
6,685,116
Stars
80
Stars per 1k downloads
0.01
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
194,647
Month daily avg
222,837
Momentum
-12.7%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
<3.15,>=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
12 days ago
Total releases
88
Releases/year
10.6
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
6,685,116
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
52
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
92.3%
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 176.7K
macOS 14
Windows 1

Python Versions

3.10
46.7% 74.7K
3.11
15.1% 24.1K
3.12
14.5% 23.2K
3.13
12.5% 20.0K
3.14
11.2% 17.9K

Top Countries

1. US US
169.2K
2. DE DE
4.0K
3. NL NL
1.1K
4. IE IE
758
5. SG SG
616
6. BE BE
347
7. GB GB
288
8. AT AT
151
9. FR FR
66
10. TR TR
55
GitHub Topics
Tags from the package's GitHub repository describing what it does.

Package Information

License
MIT
First Release
March 16, 2018
Last Release
1 week ago
Last Commit
1 week ago
Latest Version
2.2.2
Total Releases
88
Contributors
36
Open PRs
0
Archived
No
Author
Vitaly Markov
Python Versions
3 3.10 3.11 3.12 3.13
Wheels
py3
Keywords
exasol sql database performance websocket import export
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh

Links