Updated README and version

README.md

@@ -15,6 +15,9 @@
 This repository contains the software package accompanying the paper "A Methodology for Comparing Auto-Tuning Optimization Algorithms". 
 It makes the guidelines in the methodology easy to apply: simply specify the  `.json` file, run `autotuning_visualize [path_to_json]` and wait for the results!
 
+### Limitations & Future Work
+Currently, the stable releases of this software package are compatible with [Kernel Tuner](https://github.com/KernelTuner/kernel_tuner) and [KTT](https://github.com/HiPerCoRe/KTT), as in the paper. We plan to soon extend this to support more frameworks. 
+
 ## Installation
 The package can be installed with `pip install autotuning_methodology`. 
 Alternatively, it can be installed by cloning this repository and running `pip install .` in the root of the cloned project. 

pyproject.toml

@@ -4,7 +4,7 @@ requires = ["flit_core >=3.8.0,<4"]
 
 [project] # https://packaging.python.org/en/latest/specifications/declaring-project-metadata/#declaring-project-metadata
 name = "autotuning_methodology"
-version = "1.0.0b2"
+version = "1.0.0b3"
 authors = [{ name = "Floris-Jan Willemsen", email = "fjwillemsen97@gmail.com" }]
 description = "Software package easing implementation of the guidelines of the 2024 paper 'A Methodology for Comparing Auto-Tuning Optimization Algorithms'."
 keywords = ["autotuning", "auto-tuning", "methodology", "scientific"]