PyFLP
marshmallow
PyFLP | marshmallow | |
---|---|---|
4 | 11 | |
110 | 6,904 | |
- | 0.6% | |
4.2 | 8.7 | |
10 days ago | 9 days ago | |
Python | Python | |
GNU General Public License v3.0 only | MIT License |
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PyFLP
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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.
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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"
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PyFLP - A library to read and edit FL Studio project files
PyFLP on GitHub
marshmallow
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Help making draggable items for Flask app.
Somehow get a serializer going for your database models. I used marshmallow and flask-marshmallow
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Faster time-to-market with API-first
Uses a robust data validation library: validating payloads is a complex business. Your data validation library must handle optional and required properties, string formats like ISO dates and UUIDs (both dates and UUIDs are string types in OpenAPI), and strict vs loose type validation (should a string pass as an integer if it can be casted?). Also, in the case of Python, you need to make sure 1 and 0 don’t pass for True and False when it comes to boolean properties. In my experience, the best data validation libraries in the Python ecosystem are pydantic and marshmallow. From the above-mentioned libraries, flasgger and flask-smorest work with marshmallow.
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What's best library for swagger + flask?
I also came across things like Marsmallow and Blueprints, but don't know what these are, still reading about this as I write.
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pydantic VS marshmallow - a user suggested alternative
2 projects | 21 Sep 2022
Pydantic is a data validation library, marshmallow is a data validation library. None of the other libraries in the list of pydantic alternatives is a data validation library.
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Yet another object serialization framework!
I have been working on a package that is very similar in concept to marshmallow (https://marshmallow.readthedocs.io), but which adds a versioning mechanism to track changes in object structure across time, allowing you to migrate objects between different versions.
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How to implement conditional model
Either using meta programming: https://github.com/marshmallow-code/marshmallow/issues/585
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Should I use SQLAlchemy for a side project?
You might be surprised how much I agree - I recently opened an issue there hoping to discuss something like this (still awaiting response). https://github.com/marshmallow-code/marshmallow/issues/2000
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The Pocket Guide To API Request Validation You Wish You Had Earlier
Marshmallow
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Project Althaia - looking for performance/accuracy feedback on my shallow fork of marshmallow
I created a shallow fork of everyone's favourite marshmallow, to work around some performance issues while dumping data. The performance gain I measured is around 45%, but since it's a bad idea to rely on one's own testing, I was hoping that there are some folks here who use marshmallow in their projects, and who would be willing to try it out. Doubly so if your project has some unit tests in it, to confirm that nothing is broken due to my patches.
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What's the fastest way to parse JSON to output?
I was looking at https://github.com/marshmallow-code/marshmallow That's a nice library to use to parsing?
What are some alternatives?
FLPInspect - A GUI tool to inspect and modify an FLP
Fast JSON schema for Python - Fast JSON schema validator for Python.
Flask - The Python micro framework for building web applications.
cattrs - Composable custom class converters for attrs.
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.
serpy - ridiculously fast object serialization
Schematics - Python Data Structures for Humans™.
WTForms - A flexible forms validation and rendering library for Python.
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
jsonschema - JSON Schema validation library
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings
Trafaret - Ultimate transformation library that supports validation, contexts and aiohttp.