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pydantable

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pydantable

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Getting started
Getting started
Positioning
Positioning
- Why pydantable?
- Comparisons
  Comparisons
  - pydantable vs Polars
  - pydantable vs pandas
Concepts
Concepts
- Mental model
User guide
User guide
I/O
I/O
- Data I/O by format (overview)
- Choosing an I/O API
- Formats
  Formats
- Transports
  Transports
  - HTTP(S) and object-store reads
  - SQL I/O (SQLAlchemy)
- Optional formats and bridges (pydantable.io.extras)
- Data sources for read/write (planning reference)
Integrations
Integrations
- FastAPI
  FastAPI
- Engines
  Engines
- Alternate surfaces
  Alternate surfaces
- Streamlit integration
Cookbook
Cookbook
Semantics & contracts
Semantics & contracts
Project
Project
- PydanTable roadmap (shipped → v1.0.0)
- Changelog
- Architecture
- Developer Guide
- Testing
- Performance notes
- SQLModel-first SQL I/O roadmap
- Repository README
- PydanTable -- Plan Document
- ADRs
  ADRs
  - ADR: Modular execution engines
- RFCs
  RFCs
  - RFC: Finer-grained engine protocols (interface segregation)
- Contributing
  Contributing
  - Docs style guide
- Coverage backlog (python/pydantable)
Reference
Reference

Project¶

Roadmaps, architecture notes, contribution guides, and release history.

Roadmap
Changelog
Architecture
Developer guide
Testing
Performance

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