This is a pre-release (beta) build of WESTPA 2.0, called v2.0dev1. WESTPA v2.0dev1 is incompatible with previous versions (v2020.XX) and will not work with simulations generated using previous versions.
This build introduces major upgrades and restructuring to the previous WESTPA software package. In order to use this build concurrently with older WESTPA releases on the same computer, we suggest updating your current WESTPA v1.0 build (v2020.XX) to v2020.05 (or later). See the [wiki](https://github.com/westpa/westpa/wiki/Decoupling-WESTPA-1.0-and-2.0) for more information.
Key features of the new WESTPA 2.0 software include features critical to efficiency and ease of use:
- Installation as a standard Python package using pip or conda install
- A generalized resampler module for implementing both binned and “binless” WE strategies, including the minimal, adaptive binning (MAB) scheme
- Streamlined handling of large simulation datasets using the HDF5 framework
- More efficient rate-constant estimates using the RED scheme and history augmented Markov State Model (haMSM) restarting plugin
- Developer-friendly tools for creating new WE methods including automated CI tests
- Improved ease-of-use as with a Python API
For instructions and other options on how to install WESTPA 2.0dev1, see this [wiki page](https://github.com/westpa/westpa/wiki/Setting-Up-a-Development-Environment).
**sha256 checksum:**
**westpa-2.0dev1.zip**
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**westpa-2.0dev1.tar.gz**
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