PyRank
quantumblacklabs

xedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
PyPI GitHub
More links
Download Stats
Monthly downloads
29
Weekly downloads
9
GitHub stars
11.0K

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

Package Information

Latest Version
0.17.6
Requires Python
>=3.6, <3.10
Licence
Apache Software License (Apache 2.0)
Last Release
4 years ago
Author
QuantumBlack Labs
First Release
December 20, 2021
Total Releases
1
Python Versions
3.6 3.7 3.8
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
86
Adoption
14
Community
70
Provenance
0
How the maintenance status was determined
Last commit
3 days ago
Monthly downloads
29
• 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
29
Stars
11,020
Stars per 1k downloads
380000.00
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
Needs at least 1,000 monthly downloads to classify popularity.
How download momentum is calculated
Week daily avg
1
Month daily avg
1
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
>=3.6, <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 Software 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
1761 days ago
Total releases
1
Releases/year
0.2
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
283
Monthly downloads
29
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
84
 
Issue Burden
10.9
per 1k stars
Discussions
25.0
per 1k stars
Fork Ratio
25.8%
contrib / forks
Stale Release
1757d
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

Dependencies

17
125 optional dependencies
  • biopython~=1.73[biosequence-biosequencedataset]
    extra == "biosequence-biosequencedataset"
  • biopython~=1.73[all]
    extra == "all"
  • biopython~=1.73[biosequence]
    extra == "biosequence"
  • dask~=2.6[dask]
    python_version == "3.6" and extra == "dask"
  • dask~=2.6[all]
    python_version == "3.6" and extra == "all"
  • dask~=2.6[dask-parquetdataset]
    python_version == "3.6" and extra == "dask-parquetdataset"
  • delta-spark~=1.0[all]
    extra == "all"
  • delta-spark~=1.0[spark-deltatabledataset]
    extra == "spark-deltatabledataset"
  • delta-spark~=1.0[spark]
    extra == "spark"
  • docutils==0.16[all]
    extra == "all"
  • docutils==0.16[docs]
    extra == "docs"
  • geopandas<1.0,>=0.6.0[geopandas]
    extra == "geopandas"
  • geopandas<1.0,>=0.6.0[all]
    extra == "all"
  • geopandas<1.0,>=0.6.0[geopandas-geojsondataset]
    extra == "geopandas-geojsondataset"
  • hdfs<3.0,>=2.5.8[spark-deltatabledataset]
    extra == "spark-deltatabledataset"
  • hdfs<3.0,>=2.5.8[spark-sparkdataset]
    extra == "spark-sparkdataset"
  • hdfs<3.0,>=2.5.8[spark-sparkhivedataset]
    extra == "spark-sparkhivedataset"
  • hdfs<3.0,>=2.5.8[spark-sparkjdbcdataset]
    extra == "spark-sparkjdbcdataset"
  • hdfs<3.0,>=2.5.8[all]
    extra == "all"
  • hdfs<3.0,>=2.5.8[spark]
    extra == "spark"
  • holoviews~=1.13.0[all]
    extra == "all"
  • holoviews~=1.13.0[holoviews]
    extra == "holoviews"
  • holoviews~=1.13.0[holoviews-holoviewswriter]
    extra == "holoviews-holoviewswriter"
  • ipykernel<7.0,>=5.3[docs]
    extra == "docs"
  • ipykernel<7.0,>=5.3[all]
    extra == "all"
  • ipython~=7.10[all]
    extra == "all"
  • ipython~=7.10[ipython]
    extra == "ipython"
  • matplotlib<4.0,>=3.0.3[matplotlib]
    extra == "matplotlib"
  • matplotlib<4.0,>=3.0.3[matplotlib-matplotlibwriter]
    extra == "matplotlib-matplotlibwriter"
  • matplotlib<4.0,>=3.0.3[all]
    extra == "all"
  • memory-profiler<1.0,>=0.50.0[all]
    extra == "all"
  • memory-profiler<1.0,>=0.50.0[profilers]
    extra == "profilers"
  • nbconvert<6.0,>=5.3.1[all]
    extra == "all"
  • nbconvert<6.0,>=5.3.1[notebook-templates]
    extra == "notebook-templates"
  • nbformat~=4.4[notebook-templates]
    extra == "notebook-templates"
  • nbformat~=4.4[all]
    extra == "all"
  • nbsphinx==0.8.1[docs]
    extra == "docs"
  • nbsphinx==0.8.1[all]
    extra == "all"
  • nbstripout~=0.4[all]
    extra == "all"
  • nbstripout~=0.4[docs]
    extra == "docs"
  • networkx~=2.4[networkx]
    extra == "networkx"
  • networkx~=2.4[networkx-networkxdataset]
    extra == "networkx-networkxdataset"
  • networkx~=2.4[all]
    extra == "all"
  • openpyxl<4.0,>=3.0.3[pandas-appendableexceldataset]
    extra == "pandas-appendableexceldataset"
  • openpyxl<4.0,>=3.0.3[pandas]
    extra == "pandas"
  • openpyxl<4.0,>=3.0.3[all]
    extra == "all"
  • pandas>=0.24[yaml]
    extra == "yaml"
  • pandas>=0.24[all]
    extra == "all"
  • pandas>=0.24[pandas]
    extra == "pandas"
  • pandas>=0.24[pandas-appendableexceldataset]
    extra == "pandas-appendableexceldataset"
  • pandas>=0.24[pandas-csvdataset]
    extra == "pandas-csvdataset"
  • pandas>=0.24[pandas-exceldataset]
    extra == "pandas-exceldataset"
  • pandas>=0.24[pandas-featherdataset]
    extra == "pandas-featherdataset"
  • pandas>=0.24[pandas-gbqquerydataset]
    extra == "pandas-gbqquerydataset"
  • pandas>=0.24[pandas-gbqtabledataset]
    extra == "pandas-gbqtabledataset"
  • pandas>=0.24[pandas-genericdataset]
    extra == "pandas-genericdataset"
  • pandas>=0.24[pandas-hdfdataset]
    extra == "pandas-hdfdataset"
  • pandas>=0.24[pandas-jsondataset]
    extra == "pandas-jsondataset"
  • pandas>=0.24[pandas-parquetdataset]
    extra == "pandas-parquetdataset"
  • pandas>=0.24[pandas-sqlquerydataset]
    extra == "pandas-sqlquerydataset"
  • pandas>=0.24[pandas-sqltabledataset]
    extra == "pandas-sqltabledataset"
  • pandas>=0.24[plotly]
    extra == "plotly"
  • pandas>=0.24[plotly-plotlydataset]
    extra == "plotly-plotlydataset"
  • pandas>=0.24[yaml-yamldataset]
    extra == "yaml-yamldataset"
  • pandas-gbq<1.0,>=0.12.0[pandas-gbqquerydataset]
    extra == "pandas-gbqquerydataset"
  • pandas-gbq<1.0,>=0.12.0[pandas-gbqtabledataset]
    extra == "pandas-gbqtabledataset"
  • pandas-gbq<1.0,>=0.12.0[all]
    extra == "all"
  • pandas-gbq<1.0,>=0.12.0[pandas]
    extra == "pandas"
  • pillow~=8.0[pillow-imagedataset]
    extra == "pillow-imagedataset"
  • pillow~=8.0[all]
    extra == "all"
  • pillow~=8.0[pillow]
    extra == "pillow"
  • plotly<6.0,>=4.8.0[plotly-plotlydataset]
    extra == "plotly-plotlydataset"
  • plotly<6.0,>=4.8.0[plotly]
    extra == "plotly"
  • plotly<6.0,>=4.8.0[plotly-jsondataset]
    extra == "plotly-jsondataset"
  • plotly<6.0,>=4.8.0[all]
    extra == "all"
  • pyarrow<7.0,>=1.0[pandas-parquetdataset]
    extra == "pandas-parquetdataset"
  • pyarrow<7.0,>=1.0[all]
    extra == "all"
  • pyarrow<7.0,>=1.0[pandas]
    extra == "pandas"
  • pyproj<3.0,>=2.2.0[geopandas-geojsondataset]
    extra == "geopandas-geojsondataset"
  • pyproj<3.0,>=2.2.0[all]
    extra == "all"
  • pyproj<3.0,>=2.2.0[geopandas]
    extra == "geopandas"
  • pyspark<4.0,>=2.2[spark-sparkdataset]
    extra == "spark-sparkdataset"
  • pyspark<4.0,>=2.2[spark-deltatabledataset]
    extra == "spark-deltatabledataset"
  • pyspark<4.0,>=2.2[spark]
    extra == "spark"
  • pyspark<4.0,>=2.2[all]
    extra == "all"
  • pyspark<4.0,>=2.2[spark-sparkhivedataset]
    extra == "spark-sparkhivedataset"
  • pyspark<4.0,>=2.2[spark-sparkjdbcdataset]
    extra == "spark-sparkjdbcdataset"
  • pyyaml<6.0,>=4.2[all]
    extra == "all"
  • pyyaml<6.0,>=4.2[yaml-yamldataset]
    extra == "yaml-yamldataset"
  • pyyaml<6.0,>=4.2[yaml]
    extra == "yaml"
  • recommonmark==0.7.1[all]
    extra == "all"
  • recommonmark==0.7.1[docs]
    extra == "docs"
  • requests~=2.20[all]
    extra == "all"
  • requests~=2.20[api-apidataset]
    extra == "api-apidataset"
  • requests~=2.20[api]
    extra == "api"
  • s3fs<0.5,>=0.3.0[spark-deltatabledataset]
    extra == "spark-deltatabledataset"
  • s3fs<0.5,>=0.3.0[all]
    extra == "all"
  • s3fs<0.5,>=0.3.0[spark]
    extra == "spark"
  • s3fs<0.5,>=0.3.0[spark-sparkdataset]
    extra == "spark-sparkdataset"
  • s3fs<0.5,>=0.3.0[spark-sparkhivedataset]
    extra == "spark-sparkhivedataset"
  • s3fs<0.5,>=0.3.0[spark-sparkjdbcdataset]
    extra == "spark-sparkjdbcdataset"
  • sphinx~=3.4.3[docs]
    extra == "docs"
  • sphinx~=3.4.3[all]
    extra == "all"
  • sphinx-autodoc-typehints==1.11.1[all]
    extra == "all"
  • sphinx-autodoc-typehints==1.11.1[docs]
    extra == "docs"
  • sphinx-copybutton==0.3.1[all]
    extra == "all"
  • sphinx-copybutton==0.3.1[docs]
    extra == "docs"
  • sphinx-rtd-theme==0.4.1[docs]
    extra == "docs"
  • sphinx-rtd-theme==0.4.1[all]
    extra == "all"
  • sqlalchemy~=1.2[all]
    extra == "all"
  • sqlalchemy~=1.2[pandas]
    extra == "pandas"
  • sqlalchemy~=1.2[pandas-sqlquerydataset]
    extra == "pandas-sqlquerydataset"
  • sqlalchemy~=1.2[pandas-sqltabledataset]
    extra == "pandas-sqltabledataset"
  • tables~=3.6[pandas-hdfdataset]
    extra == "pandas-hdfdataset"
  • tables~=3.6[all]
    extra == "all"
  • tables~=3.6[pandas]
    extra == "pandas"
  • tensorflow~=2.0[tensorflow-tensorflowmodeldataset]
    extra == "tensorflow-tensorflowmodeldataset"
  • tensorflow~=2.0[tensorflow]
    extra == "tensorflow"
  • tensorflow~=2.0[all]
    extra == "all"
  • xlrd~=1.0[all]
    extra == "all"
  • xlrd~=1.0[pandas]
    extra == "pandas"
  • xlrd~=1.0[pandas-exceldataset]
    extra == "pandas-exceldataset"
  • xlsxwriter~=1.0[all]
    extra == "all"
  • xlsxwriter~=1.0[pandas]
    extra == "pandas"
  • xlsxwriter~=1.0[pandas-exceldataset]
    extra == "pandas-exceldataset"

Used By

0
Not used by any tracked packages

Repository details

Forks
1.1K
Issues
120
Last Commit
4 days ago
Contributors
283
Open PRs
10
Archived
No

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
pipelines machine learning data pipelines data science data engineering
Sources and methodology