PyFLP
msgspec
PyFLP | msgspec | |
---|---|---|
4 | 31 | |
110 | 1,889 | |
- | - | |
4.2 | 8.6 | |
10 days ago | 6 days ago | |
Python | Python | |
GNU General Public License v3.0 only | 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.
PyFLP
-
Is there a utility to compare flp (or MIDI) files (like DIFF)?
Hi, I am the author of PyFLP, a library for parsing FLPs. It doesn't have any utility to diff FLPs as such, but you can compare a huge variety of data stored in FLPs. However you need a bit of Python knowledge. I am not sure if this is a solution at all, but its the best one you have if you don't want to open 2 instances of FL.
-
Implementing git-style versioning for a binary file
I am working on FL Studio project files. The representation is binary but is quite structured, not a random blob of data like a JPG. I have made a parser for it PyFLP. I could use the parser two generate diffs which would be much more useful than "byte 00 changed @ offset 0x12 to 01"
-
PyFLP - A library to read and edit FL Studio project files
PyFLP on GitHub
msgspec
- Htmx, Rust and Shuttle: A New Rapid Prototyping Stack
-
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
-
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
-
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".
-
Need help developing a high performance Redis ORM for Python
https://github.com/jcrist/msgspec so I am using this instead of Pydantic.
-
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
-
[Guide] A Tour Through the Python Framework Galaxy: Discovering the Stars
Try msgspec | Maat | turbo for fast serialization and validation
-
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
-
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?
FLPInspect - A GUI tool to inspect and modify an FLP
pydantic - Data validation using Python type hints
Flask - The Python micro framework for building web applications.
orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
jsonpickle - Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
Schematics - Python Data Structures for Humans™.
mashumaro - Fast and well tested serialization library
marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.
MessagePack - MessagePack serializer implementation for Java / msgpack.org[Java]
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings