updated 2026-10-09 08:15 UTC

PydanticAI

Repository Website

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

Agent Frameworks Python Listed MIT

Is PydanticAI safe? Strong public trust posture, backed by multiple independent signals.

OSSF Scorecard 5.9 / 10
Provenance Attested
Signed commits 100%
Last push today
Advisories None known
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In detail: PydanticAI scores 88.3/100 (Grade A), ranked #40 of 1371 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 5.9/10; 100% of recent commits are signed; no published advisory affects its latest release (pydantic-ai); last pushed 2026-10-09. Every point is earned from checkable signals — never paid placement. How scoring works →

How PydanticAI could raise its score

Each line changes one public signal and recomputes with the live scoring function. The gains don't add up exactly, because the score is capped near the top.

Already done? Suggest a correctionAdd the trust badge

Chain of custody

Scanners check what the code says. This traces who ships PydanticAI and whether that has changed: from the source repository, through how changes are reviewed and released, to the package you install. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities.

  1. Source Signed

    github.com/pydantic/pydantic-ai, MIT, last pushed 2026-10-09. 100% of the last 100 commits carry a verified signature, so changes trace to a verified account.

  2. Review and release Mixed

    OpenSSF Scorecard rates the repository's practices 5.9/10 (scanned Oct 6, 2026). The checks that decide who can get a change released:

    • Code Review6
    • Branch Protection3
    • Signed Releases0
    • Dangerous Workflow0
    • Token Permissions10
    • Pinned Dependencies8
    All 18 Scorecard checks
    Binary-Artifacts 10
    Branch-Protection 3
    CI-Tests 10
    CII-Best-Practices 0
    Code-Review 6
    Contributors 10
    Dangerous-Workflow 0
    Dependency-Update-Tool 10
    Fuzzing 0
    License 10
    Maintained 10
    Packaging 10
    Pinned-Dependencies 8
    SAST 7
    Security-Policy 10
    Signed-Releases 0
    Token-Permissions 10
    Vulnerabilities 0

  3. Published packages Linked and attested

    • PyPI pydantic-ai Source link points back to this repo Build provenance attested

  4. What you install today No known advisories

    Latest release checked: pydantic-ai 2.54.0. No published advisory affects it (OSV, checked 2026-10-09).

Changes to this chain

No change to package provenance, package source links, Scorecard coverage or license in HVTracker's daily snapshots of PydanticAI.

Evidence behind this score

Coverage A: 4 of 5 independent evidence types found.

  • GitHub repository data
  • Package downloads
  • Supply-chain checks
  • Public actions (missing)
  • Community mentions

Verify this score yourself

Every build re-issues PydanticAI’s score as an Ed25519-signed credential, valid for 7 days. You can check it offline against HVTracker’s published key; if anyone changes a number after signing, verification fails.

Signed credential (JSON) How to verify

What this score doesn’t check

It covers who ships the code, not what the code does. It doesn’t read tool descriptions or prompts for injected instructions, watch runtime behaviour, or find bugs nobody has disclosed yet. For that, run a content scanner before you connect it, such as Cisco MCP Scanner or Snyk Agent Scan.

How PydanticAI compares in Agent Frameworks

  1. #6 Strands Agents 90.5 +2.2
  2. #7 Cloudflare Agents 89.7 +1.4
  3. #8 PydanticAI 88.3 this agent
  4. #9 Agno 87.4 −0.9
  5. #10 Threadplane 84.0 −4.3

Bars show each HVTrust score; the tick marks PydanticAI’s 88.3.

Where the 88.3 comes from

HVTrust dimensions vs the Agent Frameworks average

88.3 / 100 · 100.0% confidence

PydanticAI Agent Frameworks average (129 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
19.9 / 25
10.4 above avg 9.5
Identity / Provenance60% listing status · 40% build provenance
18.0 / 18
6.4 above avg 11.6
Transparency50% declared license · 50% OSSF Scorecard
13.5 / 17
1.5 above avg 12.0
Maintenance60% last-push freshness · 40% commit activity
20.0 / 20
6.4 above avg 13.6
AdoptionLog-scaled stars · package downloads
18.5 / 20
7.7 above avg 10.8

Quick Trust Read

What Would Improve It
Improve transparency to lift the weakest part of the trust profile.
Recent Changes
2026-10-06
Rank Moved
Rank dropped 12 spots (#26 → #38)
2026-09-30
Tool Surface Changed
Detected tool/plugin surface changed: none → declared
2026-09-30
Rank Moved
Rank rose 12 spots (#41 → #29)
Maintainer Checklist
Raise Scorecard signals Current OSSF Scorecard is 5.9/10. Tighten the weakest checks to improve public safety evidence.
Compare with Haystack Get email alerts for PydanticAI View Agent Frameworks Report missing data
92.0
Activity sub-score · out of 100
#8
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 →

Signals refreshed 2026-10-09 08:15 UTC · Repo last pushed today

Rank Trend

2026-09-29 2026-10-09

Activity & Reach

Stars
20.5k
Forks
2.9k
Last Push
2026-10-09
today
Commits (4 wk)
808
Downloads (7d)
1,383,442
pypi
HN mentions (30d)
1
Open Issues
1021
Rank Change
▼1
was #39

Analysis

Activity Inputs

92.0 / 100
StarsRepository reach
25.9 / 30
FreshnessLast push recency
25.0 / 25
ActivityRecent commits
25 / 25
CommunityFork signal
16.1 / 20

Common questions about PydanticAI

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 5.9/10. 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.
Are PydanticAI's commits signed?
100% of the last 100 commits to PydanticAI are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

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 OpenAI Agents SDK (JS) →

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
Declared
Declared plugin/integration surface detected.
  • search
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
How this surface has changed

Detected changes to PydanticAI's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.

2026-09-30
Tool Surface Changed
Detected tool/plugin surface changed: none → declared

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
Rank 4HVTrust 1Surface 1
2026-10-06
Rank Moved
Rank dropped 12 spots (#26 → #38)
2026-09-30
Tool Surface Changed
Detected tool/plugin surface changed: none → declared
2026-09-30
Rank Moved
Rank rose 12 spots (#41 → #29)
2026-09-27
Rank Moved
Rank dropped 20 spots (#23 → #43)
2026-09-03
Rank Moved
Rank rose 38 spots (#47 → #9)
2026-09-03
HVTrust Changed
HVTrust up 4.0pts (86.2 → 90.2)
GitHub → Website → PyPI: pydantic-ai

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 88.3 Grade A
Markdown:
[![HVTrust](https://hvtracker.net/badge/pydanticai.svg)](https://hvtracker.net/agents/pydanticai)
HTML:
<a href="https://hvtracker.net/agents/pydanticai"><img src="https://hvtracker.net/badge/pydanticai.svg" alt="HVTrust"></a>

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 v4.4 · Raw JSON