© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
Data validation library and AI agent framework
Founded by: Samuel Colvin
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Pydantic (Samuel Colvin) with 44% positive developer sentiment (9 HN comments analyzed), with 619,842,154 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/pydantic?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data
Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →
Description
Data validation library and AI agent framework
Estimated Company Size
10 - 50 employees
Website
pydantic.devFounded
2023
Description
Pydantic is a company built around its popular open-source Python library, which provides robust data validation, parsing, and serialization. It plays a crucial role in the AI ecosystem by enabling developers to define clear, type-hinted data schemas, essential for building reliable AI applications and agents that process structured information. This ensures data integrity and facilitates seamless interaction between different components in complex AI workflows.
Community engagement metrics that indicate developer traction and interest.
Last updated: 1 day ago
Mentions in HN discussions. Source: Hacker News Algolia API.
Sentiment analysis of Hacker News comments only. Does not include Reddit, Discord, or other platforms.
Package download volume indicates real-world adoption and integration into production projects.
A powerful Python library for data validation, parsing, and serialization, widely used for defining data schemas and ensuring data integrity.
A library built on Pydantic for managing application settings, allowing easy definition and loading of configuration from various sources.
Explore other companies in these domains
💡 Click any category to discover similar companies
Stay informed about AI company trends, funding, and developer signals.
Observability and testing platform for AI agents
Ray framework company. Distributed computing for ML workloads.
ML and LLM observability platform for monitoring and evaluation
AI testing and evaluation platform. Test LLM applications at scale.
ML model serving platform with GPU infrastructure for inference
Package downloads and ecosystem metrics — 30-day window
Insufficient data for trend chart
Need at least 2 data points (currently have 1)
Insufficient data for trend chart
Need at least 2 data points (currently have 1)
Pydantic vs OpenAI Adoption: The Real AI Infrastructure
Pydantic, a data validation library most developers treat as background infrastructure, was downloaded over 614 million times from PyPI in the last 30 days — more than OpenAI, LangChain, and Hugging Face combined. That combined total sits at 507 million. The gap isn’t close. This single data point exposes one of the most persistent blind […]
Feb 25, 2026
View all articles