Technology · Library
Pydantic
Library · Catalog tech@1
Data validation with Python type hints.
- Categories
- Matched as
- pydantic
Momentum
Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works
Momentum
Collecting0 of 5 signalsNo score yet. Momentum is published only when at least 2 of the 5 signals have history. Pydantic has 0, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.
Snapshot OCT 24, 2026 · Scoring tech@1
- Official repository stars
- Collecting
- Star growth needs repository snapshots 30 days apart.28,923 stars now
- Member repository stars
- Collecting
- Star growth needs repository snapshots 30 days apart.0 new members in 30 days
- Package adoption
- Not published by its registries
- Its packages’ registries publish no adoption figure, so there is nothing to grow.
- Open models
- No official models
- No official model on Hugging Face, so this signal does not apply.
- News
- Collecting
- News counts once there are 3 events across the last 60 days; it has 0.0 in the last 30 days · 0 in the 30 before
Adoption by registry
The growth of Pydantic’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.
No registry has two observations of Pydantic’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.
News activity
- Events · 7 days
- 0published events that mention it
- Events · 30 days
- 0published events that mention it
- Previous 30 days
- 0events in the 30 days before
Momentum history
Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.
Repositories
Official 1
- pydantic/pydantic
Data validation using Python type hints
28.9K stars
Members 32repositories tagged with one of its aliases, most-starred first
- koxudaxi/fastapi-code-generator
This code generator creates FastAPI app from an openapi file.
1.4K stars
- redis/redis-om-python
Object mapping, and more, for Redis and Python
1.3K stars
- RhythmicWave/NovelForge
AI辅助长篇小说创作，卡片式创作，支持基于 JSON Schema的结构化 AI 生成与上下文引用，可扩展性强。
1.2K stars
- yezz123/authx
Ready-to-use and customizable Authentications and Oauth2 management for FastAPI ✨
1.2K stars
- art049/odmantic
Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints
1.2K stars
- apiflask/apiflask
A lightweight Python web API framework.
1.1K stars
- vstorm-co/pydantic-deepagents
Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.
1.1K stars
- dunossauro/fastapi-do-zero
Curso básico de FastAPI
1K stars
Packages
“Is” packages are Pydantic itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.
Is 2the technology itself, most-adopted first
- pydantic
Data validation using Python type hints
Not published by PyPI - pydantic-core
Core functionality for Pydantic validation and serialization
Not published by PyPI
Ecosystem 1,609packages that depend on it, most-adopted first
- Not published by PyPI
- vizro
Vizro is a low-code framework for building high-quality data visualization apps.
Not published by PyPI - vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Not published by PyPI - vllm-acc
A high-throughput and memory-efficient inference and serving engine for LLMs
Not published by PyPI - vllm-cpu
A high-throughput and memory-efficient inference and serving engine for LLMs
Not published by PyPI - vllm-cpu-amxbf16
vLLM CPU inference engine (AVX512 + VNNI + BF16 + AMX optimized)
Not published by PyPI - vllm-cpu-avx512
vLLM CPU inference engine (AVX512 optimized)
Not published by PyPI - vllm-cpu-avx512bf16
vLLM CPU inference engine (AVX512 + VNNI + BF16 optimized)
Not published by PyPI - vllm-cpu-nightly
A high-throughput and memory-efficient inference and serving engine for LLMs
Not published by PyPI - vllm-omni
A framework for efficient model inference with omni-modality models
Not published by PyPI - vllm-tpu
A high-throughput and memory-efficient inference and serving engine for LLMs
Not published by PyPI - vllm-xft
A high-throughput and memory-efficient inference and serving engine for LLMs
Not published by PyPI
Latest news the 0 latest events that mention it
No published news event mentions Pydantic yet.