PyRank
databand-ai

dbnd-run

DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.
PyPI GitHub
More links
Download Stats Bug-Tracker
Monthly downloads
2.2K
Weekly downloads
725
GitHub stars *
267

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

Package Information

Latest Version
1.0.34.1
Requires Python
Not specified
Licence
Apache Software License
Last Release
7 months ago
Author
Evgeny Shulman
First Release
May 18, 2023
Total Releases
33
Python Versions
3 3.7 3.8 3.9 3.10 3.11
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
40
Popularity
49
Adoption
33
Community
60
Provenance
0
How the maintenance status was determined
Last commit
591 days ago
Monthly downloads
2,237
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
2,237
Stars
267
Stars per 1k downloads
119.36
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
104
Month daily avg
75
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.
More insights and metrics
Python version support tiers
requires_python
Not specified
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
Package does not declare a minimum Python version.
License categories
License
Apache Software License
• 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
225 days ago
Total releases
33
Releases/year
9.7
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
24
Monthly downloads
2,237
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
56
 
Issue Burden
7.5
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
72.7%
contrib / forks
Stale Release
No
 
PR Velocity
Active
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 17

Python Versions

3.8
52.9% 9
3.7
47.1% 8

Top Countries

1. US US
22
2. CA CA
1
3. CN CN
1
4. DE DE
1

Weekly Downloads

GitHub Stars *

Dependencies

2
15 optional dependencies
  • boto3[tests]
    extra == "tests"
  • coverage==7.0.1[tests]
    extra == "tests"
  • feather-format[test-providers]
    extra == "test-providers"
  • matplotlib==3.3.0[test-providers]
    python_version < "3.8" and extra == "test-providers"
  • mock[tests]
    extra == "tests"
  • numpy<1.23[test-pandas]
    extra == "test-pandas"
  • numpy<1.23[test-providers]
    extra == "test-providers"
  • openpyxl==2.6.4[test-providers]
    extra == "test-providers"
  • pandas<2.0.0,>=0.17.1[test-pandas]
    extra == "test-pandas"
  • pandas<2.0.0,>=0.17.1[test-providers]
    extra == "test-providers"
  • pyarrow[test-providers]
    extra == "test-providers"
  • pytest==6.2.5[tests]
    extra == "tests"
  • pytest-cov==3.0.0[tests]
    extra == "tests"
  • sh[tests]
    extra == "tests"
  • tables==3.7.0[test-providers]
    extra == "test-providers"

Used By

1

Repository details

Forks
33
Issues
2
Last Commit
1 year ago
Contributors
24
Open PRs
25
Archived
No

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
orchestration data machinelearning
Sources and methodology