dynesty
A Dynamic Nested Sampling package for computing Bayesian posteriors and evidences. Pure Python. MIT license.
Documentation
Documentation can be found here.
Installation
The most stable release of dynesty can be installed
through pip via
pip install dynesty
The current (less stable) development version can be installed by running
pip install .
from inside the repository.
Demos
Several Jupyter notebooks that demonstrate most of the available features of the code can be found here.
Attribution
If you use this package in your research, please cite both of these references:
- The original paper Speagle (2020)
- The Python implementation Koposov et al. (2024) (the citation information is at the bottom right of the linked page)
Please also consider citing papers describing the underlying methods (see the documentation for more details)
Reporting issues
If you want to report issues, or have questions, please do that on github.
Contributing
Patches and contributions are very welcome! Please see CONTRIBUTING.md for more details.
2 maintainers
Release files for dynesty 3.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dynesty-3.1.0.tar.gz | 35.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dynesty-3.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.7 MB
Release files / dynesty-3.1.0.tar.gz
| Download URL | dynesty-3.1.0.tar.gz |
|---|---|
| Size | 35.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
Release files / dynesty-3.1.0-py3-none-any.whl
| Download URL | dynesty-3.1.0-py3-none-any.whl |
|---|---|
| Size | 106.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
