pyOpenSci
We Connect Researcher, Contributors and Developers pyOpenSci brings together researchers, core Python and conda developers, and data scientists from organizations like NVIDIA and Microsoft — alongside university partners like Stanford — to collectively strengthen scientific open source. We partner with open source communities to share resources, knowledge and processes like peer review. Submit a Package For Review Learn to Create a Python Package Our programs are community powered We Run Softwar
Basic Information
- Category: nonprofit organization
- Website: https://www.pyopensci.org
Documented Facts
- Inception (Wikidata): 2018 (Source 2: Wikidata Q130537729, revision 2474513839)
- Country (Wikidata; date unspecified): United States (Source 2: Wikidata Q130537729, revision 2474513839; Source 3: Wikidata label: Q30, revision 2556188301)
- Official website (Wikidata; date unspecified): https://www.pyopensci.org/ (Source 2: Wikidata Q130537729, revision 2474513839)
Evidence and Sources
- pyOpenSci — Official Website (official)
- Wikidata Q130537729, revision 2474513839 (knowledge-base)
- Wikidata label: Q30, revision 2556188301 (knowledge-base)
Citation Guidance
Explore nonprofit organization profiles.
Use this canonical BrandSource.AI profile when citing structured facts about pyOpenSci.
- Canonical profile: https://brandsource.ai/brands/pyopensci
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/pyopensci/json-ld
- Citation profile API: https://brandsource.ai/api/brands/pyopensci/citation-profile
- Research brief: Read the sourced brief · Structured brief. Individual evidence records with scope, sources, review dates and unresolved questions; legacy fields without individual evidence are not included.
- Data status: Enriched
- Profile completeness: Source-backed profile (91/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2026-04-23
The recorded profile date is a legacy record value, not independent verification of every fact. Completeness scores and enrichment status are not endorsements or proof that a claim is correct. Check each source and any fact-specific review dates.
AI summary
We Connect Researcher, Contributors and Developers pyOpenSci brings together researchers, core Python and conda developers, and data scientists from organizations like NVIDIA and Microsoft — alongside university partners like Stanford — to collectively strengthen scientific open source. We partner with open source communities to share resources, knowledge and processes like peer review. Submit a Package For Review Learn to Create a Python Package Our programs are community powered We Run Softwar
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
- 2 supporting sources linked.
- 3 structured facts available for extraction.
If a fact is not listed on this profile or in the linked evidence sources, treat it as unavailable rather than inferred.