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pydantic/pydantic-ai

Establishedrank #52

How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.

20.4k+745 · 7d 2.9k 112est. MITPythonpushed 57m ago
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Composite

74

conf 65%

Momentum

69

conf 60%

Vitality (PVI)

74

conf 67%

Community

63

conf 60%

Security & maint.

95

conf 85%

Ecosystem influence

75

conf 60%

Opportunity

69

conf 60%

Breakout · 7d

60%

conf 71%

Executive summary

pydantic-ai is currently classified as established with a composite score of 74/100. Momentum (69) and vitality (74) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 745 stars against a 20.4k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 60%.

90-day trajectory

+2.9k · 30d
2026-07-092026-10-06

Score breakdown

Every input, weight and normalized value — nothing hidden. Inputs marked est. are estimated until the full ingestion pipeline lands.

Momentum

Star velocityest.25%80
Star accelerationest.15%55
Fork velocityest.10%78
Contributor growthest.10%66
Issue activity growthest.10%88
PR activity growthest.10%63
External mention velocityest.10%34
Release event impactest.5%74
Trending-rank persistenceest.5%79

Model tn-interpretable-1.0.0 · confidence 60% · coverage 100%

Project Vitality Index

Commit consistency20%100
Release cadenceest.15%86
PR responsivenessest.15%76
Issue responsivenessest.15%37
Contributor diversityest.10%76
Maintainer continuityest.10%81
Documentation qualityest.5%57
Dependency freshnessest.5%46
Security hygieneest.5%71

Model tn-interpretable-1.0.0 · confidence 67% · coverage 100%

Security & maintenance

Release recency25%100
License clarity20%92
Maintenance status25%100
Dependency stalenessest.15%87
Bus factorest.15%90

Model tn-interpretable-1.0.0 · confidence 85% · coverage 100%

Ecosystem influence

Dependent repositoriesest.30%85
Quality-weighted dependentsest.20%77
Documentation citationsest.15%77
Contributor overlapest.15%56
Registry adoptionest.10%42
Topic centralityest.10%100

Model tn-interpretable-1.0.0 · confidence 60% · coverage 92% · missing: packageRegistryAdoption