meinheld
typedload
meinheld | typedload | |
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1 | 5 | |
1,450 | 254 | |
- | - | |
0.0 | 8.1 | |
almost 3 years ago | 7 days ago | |
C | Python | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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meinheld
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Show HN: Python framework is faster than Golang Fiber
Django is an WebFramework, Meinheld is an WSGI Server framework.
https://github.com/django/django
https://github.com/mopemope/meinheld
So django meinheld is basically saying that i used Django served by meinheld in that benchmark.
typedload
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Show HN: Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19
Author of typedload here!
FastAPI relies on (not so fast) pydantic, which is one of the slowest libraries in that category.
Don't expect to find such benchmarks on the pydantic documentation itself, but the competing libraries will have them.
[0] https://ltworf.github.io/typedload/
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Pydantic vs Protobuf vs Namedtuples vs Dataclasses
I wrote typedload, which is significantly faster than pydantic. Just uses normal dataclasses/attrs/NamedTuple, has a better API and is pure Python!
- Informatica serve a qualcosa?
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Show HN: Python framework is faster than Golang Fiber
I read all the perftests in the repo. I think they nearly all parse a structure that contains a repetition of the same or similar thing a couple hundred thousand times times and the timing function returns the min and max of 5 attempts. I just picked one example for posting.
Not a Python expert, but could the Pydantic tests be possibly not realistic and/or misleading because they are using kwargs in __init__ [1] to parse the object instead of calling the parse_obj class method [2]? According to some PEPs [3], isn't Python creating a new dictionary for that parameter which would be included in the timing? That would be unfortunate if that accounted for the difference.
Something else I think about is if a performance test doesn't produce a side effect that is checked, a smart compiler or runtime could optimize the whole benchmark away. Or too easy for the CPU to do branch prediction, etc. I think I recall that happening to me in Java in the past, but probably not happened here in Python.
[1] https://github.com/ltworf/typedload/blob/37c72837e0a8fd5f350...
[2] https://docs.pydantic.dev/usage/models/#helper-functions
[3] https://peps.python.org/pep-0692/
What are some alternatives?
gunicorn - gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.
codon - A high-performance, zero-overhead, extensible Python compiler using LLVM
uwsgi - Official uWSGI docs, examples, tutorials, tips and tricks
ustore - Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
bjoern - A screamingly fast Python 2/3 WSGI server written in C.
pydantic-core - Core validation logic for pydantic written in rust
waitress - Waitress - A WSGI server for Python 3
peps - Python Enhancement Proposals
Werkzeug - The comprehensive WSGI web application library.
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
netius - Readable, simple and fast asynchronous non-blocking network apps
koda-validate - Typesafe, Composable Validation