sdk-python
msgspec
sdk-python | msgspec | |
---|---|---|
8 | 31 | |
410 | 1,889 | |
10.2% | - | |
8.2 | 8.6 | |
5 days ago | 5 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sdk-python
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The Many Problems with Celery
My problem with Temporal is that it doesn't support gevent https://github.com/temporalio/sdk-python/issues/59
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Pydantic V2 rewritten in Rust is 5-50x faster than Pydantic V1
> Unless Pydantic is downloading all OS binaries with the package and loading the right one at runtime, this would become a "problem" as well.
Nah, it's not that bad. I built a Rust-backed Python library used by many [0], and with setuptools-rust (maturin wasn't flexible enough at the time) and cibuildwheel and GH actions, the wheels are built/shipped with the shared libraries embedded and the end user never has to worry or even be aware of its presence.
Pydantic has already been shipping a binary mode with an option for pure Python, so maybe they'll keep the pure Python mode around.
0 - https://github.com/temporalio/sdk-python
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Python SDK: The Release
Either way, let us know how it goes! Building something cool? We’d love to hear about it! Our forum has a new Show & Tell section. If you want to share, we’ll send you some sweet swag. Have feedback on how we can do better? We want to know that too. Raise an issue in the SDK or samples repos, or send us an email ([email protected]).
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Making Python fast for free – adventures with mypyc
We built to logic backing the Temporal Python SDK[0] in Rust and leverage PyO3. Unfortunately Maturin didn't let us do some of the advanced things we needed to do for wheel creation (at the time, unsure now), so we use setuptools-rust with Poetry.
0 - https://github.com/temporalio/sdk-python
- GitHub - temporalio/sdk-python: Temporal Python SDK
- Temporal Python SDK Beta 2 – Fault-tolerant asyncio-based workflows
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Red Engine – modern scheduling framework for Python applications
Going to shamelessly plug Temporal’s Python SDK which was designed for asyncio.
https://github.com/temporalio/sdk-python
Disclaimer: I work for Temporal
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Temporal raises $100M Series B to invest in open source and communities
hey sorry for taking a while to respond, was busy with personal stuff and hope you see this.
1. yes. its on the order of months. start watching https://github.com/temporalio/sdk-python
2. temporal itself will not produce something like that, because we much rather have a lively community of third party maintainers/startups do that and be their supporters rather than competitors. interested?
msgspec
- Htmx, Rust and Shuttle: A New Rapid Prototyping Stack
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Litestar 2.0
Full support for validation and serialisation of attrs classes and msgspec Structs. Where previously only Pydantic models and types where supported, you can now mix and match any of these three libraries. In addition to this, adding support for another modelling library has been greatly simplified with the new plugin architecture
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FastAPI 0.100.0:Release Notes
> Maybe it was very slow before
That is at least partly the case. I maintain msgspec[1], another Python JSON validation library. Pydantic V1 was ~100x slower at encoding/decoding/validating JSON than msgspec, which was more a testament to Pydantic's performance issues than msgspec's speed. Pydantic V2 is definitely faster than V1, but it's still ~10x slower than msgspec, and up to 2x slower than other pure-python implementations like mashumaro.
Recent benchmark here: https://gist.github.com/jcrist/d62f450594164d284fbea957fd48b...
[1]: https://github.com/jcrist/msgspec
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Pydantic 2.0
While it's definitely much faster than pydantic V1 (which is a huge accomplishment!), it's still not exactly what I'd call "fast".
I maintain msgspec (https://github.com/jcrist/msgspec), a serialization/validation library which provides similar functionality to pydantic. Recent benchmarks of pydantic V2 against msgspec show msgspec is still 15-30x faster at JSON encoding, and 6-15x faster at JSON decoding/validating.
Benchmark (and conversation with Samuel) here: https://gist.github.com/jcrist/d62f450594164d284fbea957fd48b...
This is not to diminish the work of the pydantic team! For many users pydantic will be more than fast enough, and is definitely a more feature-filled tool. It's a good library, and people will be happy using it! But pydantic is not the only tool in this space, and rubbing some rust on it doesn't necessarily make it "fast".
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Need help developing a high performance Redis ORM for Python
https://github.com/jcrist/msgspec so I am using this instead of Pydantic.
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Blog post: Writing Python like it’s Rust
Another thing: why pyserde rather than stuff like msgspec? https://github.com/jcrist/msgspec
- Show HN: Msgspec, a fast serialization/validation library for Python
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[Guide] A Tour Through the Python Framework Galaxy: Discovering the Stars
Try msgspec | Maat | turbo for fast serialization and validation
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Pydantic V2 rewritten in Rust is 5-50x faster than Pydantic V1
Congratulations to the team, Pydantic is an amazing library.
If you find JSON serialization/deserialization a bottleneck, another interesting library (with much less features) for Python is msgspec: https://github.com/jcrist/msgspec
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Starlite updates March '22 | 2.0 is coming
This feature is yet to be released, but it will allow you to seamlessly use data modelled with for example Pydantic, SQLAlchemy, msgspec or dataclasses in your route handlers, without the need for an intermediary model; The conversion will be handled by the specific DTO "backend" implementation. This new paradigm also makes it trivial to add support for any such modelling library, by simply implementing an appropriate backend.
What are some alternatives?
sdk-java - Temporal Java SDK
pydantic - Data validation using Python type hints
arq - Fast job queuing and RPC in python with asyncio and redis.
orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
matrix-mul-test - Testing matmul performance on the M1 Mac
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
samples-python - Samples for working with the Temporal Python SDK
mashumaro - Fast and well tested serialization library
shiv - shiv is a command line utility for building fully self contained Python zipapps as outlined in PEP 441, but with all their dependencies included.
MessagePack - MessagePack serializer implementation for Java / msgpack.org[Java]
sdk-java - The official Java library for the Modzy Machine Learning Operations (MLOps) Platform
marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.