Data Provenance

Release:

5.0.0

Date:

Sep 18, 2026

Data-provenance graphs recording the lineage of data artifacts in a set of Python projects, following the W3C PROV model (Entity, Activity, wasDerivedFrom) as studied in “Understanding Data Science Lifecycle Provenance via Graph Segmentation and Summarization”.

Graph	Num Nodes	Num Edges	prov_derivation	Download
sampleproject	148	763	342	sampleproject.tar.gz 📥
wikipedia-provenance	316	1284	1732	wikipedia-provenance.tar.gz 📥
pluggy	353	1818	880	pluggy.tar.gz 📥
itsdangerous	425	2210	2912	itsdangerous.tar.gz 📥
requests	682	3369	2524	requests.tar.gz 📥
httpx	826	4247	4408	httpx.tar.gz 📥
click	944	4654	2710	click.tar.gz 📥
jinja	1202	6277	7436	jinja.tar.gz 📥
flask	1517	7728	8062	flask.tar.gz 📥
fastapi	6455	26528	8814	fastapi.tar.gz 📥
celery	6880	35874	25306	celery.tar.gz 📥
scikit-learn	11706	60181	217728	scikit-learn.tar.gz 📥
sphinx	13431	72692	304084	sphinx.tar.gz 📥
pandas	13696	70959	154646	pandas.tar.gz 📥
django	23749	113137	615946	django.tar.gz 📥
zulip	59854	310032	209908	zulip.tar.gz 📥
superset	76348	394708	97460	superset.tar.gz 📥
airflow	90673	454738	91350	airflow.tar.gz 📥