Pydantic version 2 has the core re-written in Rust and includes a lot of improvements and features, for example:
Improved correctness in corner cases.
Safer types.
Better performance and less energy consumption.
Better extensibility.
etc.
...all this while keeping the same Python API. In most of the cases, for simple models, you can simply upgrade the Pydantic version and get all the benefits. 🚀
In some cases, for pure data validation and processing, you can get performance improvements of 20x or more. This means 2,000% or more. 🤯
When you use FastAPI, there's a lot more going on, processing the request and response, handling dependencies, executing your own code, and particularly, waiting for the network. But you will probably still get some nice performance improvements just from the upgrade.
The focus of this release is compatibility with Pydantic v1 and v2, to make sure your current apps keep working. Later there will be more focus on refactors, correctness, code improvements, and then performance improvements. Some third-party early beta testers that ran benchmarks on the beta releases of FastAPI reported improvements of 2x - 3x. Which is not bad for just doing pip install --upgrade fastapi pydantic. This was not an official benchmark and I didn't check it myself, but it's a good sign.
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Bumps fastapi from 0.95.2 to 0.100.1.
Release notes
Sourced from fastapi's releases.
... (truncated)
Commits
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🔖 Release version 0.100.1effa578
📝 Update release notesbec5530
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🌐 Add Ukrainian translation fordocs/uk/docs/tutorial/body.md
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🌐 Add Vietnamese translation fordocs/vi/docs/features.md
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📝 Update release notes5587103
🌐 Add Korean translation fordocs/ko/docs/async.md
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📝 Update release notesDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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