Is PydanticAI safe to use?

PydanticAI has an HVTrust score of 86.2/100 (Grade A), ranked #41 of 1308 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for PydanticAI?

PydanticAI scores 86.2/100 on HVTracker's evidence-weighted HVTrust scale. It has 19.5k GitHub stars and is categorized under Agent Frameworks.

PydanticAI

pydantic/pydantic-ai

AI Agent Framework, the Pydantic way

Agent Frameworks Python Grade A Listed MIT

86.2/100

Rank #41 of 1308

Compare PydanticAI

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Strong public trust posture, backed by multiple independent signals.

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Listing state

Listed

Evidence coverage

Grade A · 4/5 signals

Last push

2026-08-25 · 0d ago

Recent change

No recent signal change

Is PydanticAI safe? PydanticAI scores 86.2/100 (Grade A), ranked #41 of 1308 tracked open-source AI agent projects, on evidence coverage A (4 of 5 independent signal types). The public evidence: its packages ship with cryptographic provenance; OSSF Scorecard rates its supply-chain practices 6.4/10; recent commits are unsigned; last pushed 2026-08-25. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in Agent Frameworks

#6 Cloudflare Agents — 88.3 (A) → #7 Agno — 86.4 (A) → #9 DawnAI — 84.8 (A) → #10 OpenAI Agents SDK — 84.8 (A) →

Quick Trust Read

What Would Improve It

Increase the share of verified signed commits for clearer maintainer identity.

Maintainer Checklist

Raise Scorecard signals Current OSSF Scorecard is 6.4/10. Tighten the weakest checks to improve public safety evidence.

Increase signed commits Raise the share of verified-signed commits to make maintainer identity and release history easier to trust.

Compare with Haystack Get email alerts for PydanticAI View Agent Frameworks Report missing data

91.6

Activity sub-score · out of 100

In Agent Frameworks

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade A reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage A is separate — it grades how many independent signal types back the score (4 of 5), so a high score on thin evidence stays visible. Full methodology →

Rank Trend

2026-08-11 2026-08-25

Activity & Reach

Stars

19.5k

Forks

2.6k

Last Push

2026-08-25

today

Commits (4 wk)

294

Downloads (7d)

7,984,283

pypi

HN mentions (30d)

Open Issues

525

Rank Change

▼1

was #40

Analysis

HVTrust Dimensions vs Agent Frameworks

86.2 / 100 · 100.0% confidence

PydanticAI Agent Frameworks average (119 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits

15.5 / 25

7.4 above avg 8.1

Identity / Provenance60% listing status · 40% build provenance

18.0 / 18

6.4 above avg 11.6

Transparency50% declared license · 50% OSSF Scorecard

13.9 / 17

2.4 above avg 11.5

Maintenance60% last-push freshness · 40% commit activity

20.0 / 20

5.8 above avg 14.2

AdoptionLog-scaled stars · package downloads

19.5 / 20

8.2 above avg 11.3

Activity Inputs

91.6 / 100

StarsRepository reach

25.7 / 30

FreshnessLast push recency

25.0 / 25

ActivityRecent commits

25 / 25

CommunityFork signal

15.9 / 20

Supply Chain Trust

Package Provenance

Verified

pypi attestation

OSSF Scorecard

6.4 / 10

OpenSSF Scorecard · scanned Aug 24, 2026

Signed Commits

—

Unable to query

Binary-Artifacts 10

Branch-Protection 1

CI-Tests 10

CII-Best-Practices 0

Code-Review 8

Contributors 10

Dangerous-Workflow 0

Dependency-Update-Tool 10

Fuzzing 0

License 10

Maintained 10

Packaging 10

Pinned-Dependencies 9

SAST 5

Security-Policy 10

Signed-Releases -1

Token-Permissions 10

Vulnerabilities 2

Is PydanticAI safe?

Public supply-chain signals for PydanticAI are strong: it has multiple independent trust indicators in place. This does not replace your own security review, but PydanticAI carries less obvious unverified-evidence risk than projects with thin signals.

Does PydanticAI publish package provenance?

Yes. PydanticAI's package releases carry build provenance attestations, which cryptographically link the published package back to its source repository and CI workflow.

Does PydanticAI have an OpenSSF Scorecard?

PydanticAI has an OpenSSF Scorecard score of 6.4/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.

Is PydanticAI actively maintained?

Actively maintained. The repository was pushed to within the last 1 day(s).

What license does PydanticAI use?

PydanticAI ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

Compare PydanticAI head-to-head

PydanticAI vs Haystack → PydanticAI vs Vercel AI SDK → PydanticAI vs LangGraph →

AI agent surface

MCP, providers, tool surface

Scored in HVTrust

These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →

MCP Server Support

medium confidence

Declared

MCP support appears present, but direct server implementation is less certain.

Detailed evidence is not shown in the public view.

External Service Dependencies

high confidence

8 detected

Public provider/service dependencies detected.

Credential signal: No explicit API-key/config marker detected.

Tool / Plugin Surface

high confidence

1 tags

Broad capability areas detected.

Detailed evidence is not shown in the public view.

Package Provenance Drift

high confidence

Match

Published package metadata matches the tracked repo

Detailed evidence is not shown in the public view.

MCP signal live
External deps live
Tool / plugin surface live
Package provenance drift live

Maintain PydanticAI?

For maintainers

HVTrust scores PydanticAI from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Submit a correction → Add the trust badge

Reputation Timeline

Signal history

2026-06-20

Rank Moved

Rank dropped 14 spots (#10 → #24)

2026-06-20

HVTrust Changed

HVTrust down 4.9pts (90.1 → 85.2)

2026-05-29

HVTrust Changed

HVTrust up 10.0pts (80.7 → 90.7)

2026-05-28

Activity Score Changed

Activity score up 25pts (66 → 91)

GitHub → PyPI: pydantic-ai

Embed Badge Badge guide for maintainers →

For maintainers

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Other agents in Agent Frameworks

Data sources
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance) · OpenSSF Scorecard CLI · Algolia HN Search API
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON