- CAMB:
Code for Anisotropies in the Microwave Background
- Homepage:
Description
CAMB is a cosmology code for calculating cosmological observables, including CMB, lensing, source count and 21cm angular power spectra, matter power spectra, transfer functions and background evolution. The code is in Python, with numerical code implemented in fast modern Fortran.
See the CAMB python example notebook for a quick introduction to how to use the CAMB Python package.
To install the CAMB on your computer run:
pip install camb [--user]
The –user is optional and only required if you don’t have write permission to your main python installation. Binary wheels are provided for most systems; to compile from source you will need gfortran installed (usually installed as part of gcc; ifort and, experimentally, LLVM flang also work, see the compiler docs). The same compiler is also used for just-in-time compilation of some functions like custom sources.
The python module is “camb”. see the CAMB documentation.
Release files for camb 2.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| camb-2.0.2.tar.gz | 921.7 kB | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| camb-2.0.2-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details |
| camb-2.0.2-py3-none-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | Python 3 | none | Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 | Details |
| camb-2.0.2-py3-none-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl | Python 3 | none | Linux glibc 2.28+ ARM64, Linux glibc 2.27+ ARM64 | Details |
| camb-2.0.2-py3-none-macosx_15_0_arm64.whl | Python 3 | none | macOS 15.0+ ARM64 | Details |
| camb-2.0.2-py3-none-macosx_14_0_x86_64.whl | Python 3 | none | macOS 14.0+ x86-64 | Details |
| camb-2.0.2-py3-none-macosx_14_0_arm64.whl | Python 3 | none | macOS 14.0+ ARM64 | Details |
Total release size: 11.3 MB
Release files / camb-2.0.2.tar.gz
| Download URL | camb-2.0.2.tar.gz |
|---|---|
| Size | 921.7 kB |
| Tags | Source |
|
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Yes |
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Transparency logRelease files / camb-2.0.2-py3-none-win_amd64.whl
| Download URL | camb-2.0.2-py3-none-win_amd64.whl |
|---|---|
| Size | 1.7 MB |
| Tags | Python 3 Windows x86-64 |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / camb-2.0.2-py3-none-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
| Download URL | camb-2.0.2-py3-none-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 2.4 MB |
| Tags | Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64 Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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Transparency logRelease files / camb-2.0.2-py3-none-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
| Download URL | camb-2.0.2-py3-none-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl |
|---|---|
| Size | 1.8 MB |
| Tags | Linux glibc 2.27+ ARM64 Linux glibc 2.28+ ARM64 Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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Transparency logRelease files / camb-2.0.2-py3-none-macosx_15_0_arm64.whl
| Download URL | camb-2.0.2-py3-none-macosx_15_0_arm64.whl |
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| Size | 1.5 MB |
| Tags | Python 3 macOS 15.0+ ARM64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
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| Download URL | camb-2.0.2-py3-none-macosx_14_0_x86_64.whl |
|---|---|
| Size | 1.6 MB |
| Tags | Python 3 macOS 14.0+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
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| Download URL | camb-2.0.2-py3-none-macosx_14_0_arm64.whl |
|---|---|
| Size | 1.5 MB |
| Tags | Python 3 macOS 14.0+ ARM64 |
|
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
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