pyABC
pyABC is a massively parallel, distributed, and scalable ABC-SMC (Approximate Bayesian Computation - Sequential Monte Carlo) framework for parameter estimation of complex stochastic models. It provides numerous state-of-the-art algorithms for efficient, accurate, robust likelihood-free inference, described in the documentation and illustrated in example notebooks. Written in Python, with support for integration with R and Julia.
Resources
- 📖 Documentation: https://pyabc.rtfd.io
- 💡 Examples: https://pyabc.rtfd.io/en/latest/examples.html
- 💬 Contact: https://pyabc.rtfd.io/en/latest/about.html
- 🐛 Bug Reports: https://github.com/icb-dcm/pyabc/issues
- 💻 Source Code: https://github.com/icb-dcm/pyabc
- 📄 Cite: https://pyabc.rtfd.io/en/latest/cite.html
Related Projects
5 maintainers
Metadata
5 maintainers
Release files for pyabc 0.13.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pyabc-0.13.1.tar.gz | 296.6 kB | Without provenance | Details for pyabc-0.13.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pyabc-0.13.1-py3-none-any.whl | Python 3 | none | any | Details for pyabc-0.13.1-py3-none-any.whl |
Total release size: 671.1 kB
Release files / pyabc-0.13.1.tar.gz
| Download URL | pyabc-0.13.1.tar.gz |
|---|---|
| Size | 296.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
51c99df422da2e9025e266d27056ead6e60ccfaa629a8244715235e322da00ab
|
|
BLAKE2b-256 checksum How to use checksums |
b4e91418bfc7d9593fdfdda845a1adff6df2ba96783241a6da5bde24dfd46730
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.15
|
Release files / pyabc-0.13.1-py3-none-any.whl
| Download URL | pyabc-0.13.1-py3-none-any.whl |
|---|---|
| Size | 374.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
46dd391e9fb251dd81fc08841e2b38633e9c71dd1c2b8e03856568caf5716069
|
|
BLAKE2b-256 checksum How to use checksums |
23f8c186e0b0c9c2b7a3171768f8d19206d1d4302b4cffab8b9703668df89cbb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.15
|
Security for pyabc 0.13.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
