PyRank
memgraph

gqlalchemy

GQLAlchemy is a library developed with the purpose of assisting in writing and running queries on Memgraph. GQLAlchemy supports high-level connection to Memgraph as well as modular query builder.
PyPI GitHub
More links
Download Stats
Monthly downloads
50.8K
Weekly downloads
10.5K
GitHub stars *
301

Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.

Package Information

Latest Version
1.10.0
Requires Python
>=3.10
Licence
Apache-2.0
Last Release
2 months ago
First Release
May 21, 2021
Total Releases
7
No reported malware or high/critical advisories · Details

The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
60
Popularity
51
Adoption
47
Community
55
Provenance
0
How the maintenance status was determined
Last commit
35 days ago
Monthly downloads
50,829
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
50,829
Stars
301
Stars per 1k downloads
5.92
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
1,503
Month daily avg
1,694
Momentum
-11.3%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
More insights and metrics
Python version support tiers
requires_python
>=3.10
Cutting Edge
Minimum supported version is 3.14 or newer
Modern
Minimum supported version is 3.11 to 3.13
• Legacy
Supports 3.10 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
86 days ago
Total releases
7
Releases/year
1.3
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
37
Monthly downloads
50,829
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
62
 
Issue Burden
119.6
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
72.5%
contrib / forks
Stale Release
No
 
PR Velocity
Quiet
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 942
Windows 2
macOS 2

Python Versions

3.12
90.3% 852
3.11
4.9% 46
3.14
2.3% 22
3.10
1.4% 13
3.13
1.1% 10

Top Countries

1. US US
869
2. DE DE
130
3. AT AT
30
4. IN IN
6
5. MX MX
3
6. CZ CZ
2
7. SE SE
2
8. SG SG
2
9. TW TW
2
10. CA CA
1

Weekly Downloads

GitHub Stars *

Dependencies

10
  • adlfs <2025.0.0,>=2023.9.0
  • dacite <2.0.0,>=1.6.0
  • neo4j <6.0.0,>=4.4.3
  • networkx <4.0.0,>=2.5.1
  • numpy <2.0,>=1.26.4
    python_version >= "3.10" and python_version < "3.13"
  • pandas <4.0,>=2.3
    python_version >= "3.14" and python_version < "4.0"
  • psutil <7.0,>=5.9
  • pydantic <3.0.0,>=2.3.0
  • pymgclient <2.0.0,>=1.6.0
  • tensorflow ==2.16.2
    (python_version >= "3.10" and python_version < "3.12" and sys_platform != "win32") or (python_version >= "3.12" and python_version < "3.13")
13 optional dependencies
  • docker<7.0.0,>=6.1.3[docker]
    extra == "docker"
  • docker<7.0.0,>=6.1.3[all]
    extra == "all"
  • pyarrow<17,>=16[arrow]
    (python_version >= "3.10" and python_version < "3.13") and extra == "arrow"
  • pyarrow<17,>=16[all]
    (python_version >= "3.10" and python_version < "3.13") and extra == "all"
  • pydot<5.0.0,>=1.4.2[all]
    extra == "all"
  • pydot<5.0.0,>=1.4.2[dot]
    extra == "dot"
  • tensorflow==2.16.2[tfgnn]
    ((python_version >= "3.10" and python_version < "3.12" and sys_platform != "win32") or (python_version >= "3.12" and python_version < "3.13")) and extra == "tfgnn"
  • tensorflow-gnn<2.0.0,>=1.0.0[all]
    ((python_version >= "3.10" and python_version < "3.12" and sys_platform != "win32") or (python_version >= "3.12" and python_version < "3.13")) and extra == "all"
  • tensorflow-gnn<2.0.0,>=1.0.0[tfgnn]
    ((python_version >= "3.10" and python_version < "3.12" and sys_platform != "win32") or (python_version >= "3.12" and python_version < "3.13")) and extra == "tfgnn"
  • tf-keras<3.0,>=2.16[tfgnn]
    ((python_version >= "3.10" and python_version < "3.12" and sys_platform != "win32") or (python_version >= "3.12" and python_version < "3.13")) and extra == "tfgnn"
  • torch<3.0,>=2.4[all]
    extra == "all"
  • torch<3.0,>=2.4[dgl]
    extra == "dgl"
  • torch<3.0,>=2.4[torch-pyg]
    extra == "torch-pyg"

Used By

5

Repository details

Forks
51
Issues
36
Last Commit
1 month ago
Contributors
37
Open PRs
7
Archived
No

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Sources and methodology