-
Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
https://github.com/pandas-dev/pandas/issues/58062 :
> On disk Parquet appears to store the category data as logical type String which is compressed with snappy and encoded
Arrow Flight RPC handles nested structs with enums over the wire somehow too FWIU
-
InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
-
BitLib
BitLib is a C++23 library offering STL-like containers, views, and algorithms for bit-level data manipulation. It features efficient, sliceable bit_array and bit_vector types, custom literals, mdspan accessors, and bit-parallel algorithms—ideal for fine-grained data access, compression, or custom numerical formats. (by PeterCDMcLean)
I've been working on an open source library that, while it doesn't solve bitfields, can provide convenient ergonomic access to bit-granular types:
https://github.com/PeterCDMcLean/BitLib
You can inherit from bit_array and create a pseudo bitfield:
-
Optimizing struct layouts is cool. but if your motivation is to pack more monsters in your game definitely consider transposing your row oriented monster struct into a column oriented entity using Entity Component System.
Example framework:
https://github.com/skypjack/entt?tab=readme-ov-file
It has benefits besides memory/cache optimizations. It organizes logic in a much more composable way that is friendly for reuse.
