Assimulo is a Cython / Python based simulation package that allows for simulation of both ordinary differential equations (ODEs), f(t,y), and differential algebraic equations (DAEs), f(t,y,yd). It combines a variety of different solvers written in C, FORTRAN and Python via a common high-level interface.
Assimulo supports Explicit Euler, adaptive Runge-Kutta of order 4 and Runge-Kutta of order 4. It also wraps the popular SUNDIALS (https://computation.llnl.gov/casc/sundials/main.html) solvers CVode (for ODEs) and IDA (for DAEs). Ernst Hairer’s (http://www.unige.ch/~hairer/software.html) codes Radau5, Rodas and Dopri5 are also available. For the full list, see the documentation.
Documentation and installation instructions can be found at: http://www.jmodelica.org/assimulo .
The package requires Numpy, Scipy and Matplotlib and additionally for compiling from source, Cython 0.18, Sundials 2.6/2.7/3.1, BLAS and LAPACK together with a C-compiler and a FORTRAN-compiler.
Metadata
Release files for Assimulo 3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| Assimulo-3.0.tar.gz | 1.6 MB | Without provenance | Details for Assimulo-3.0.tar.gz |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| Assimulo-3.0-py3.6-linux-x86_64.egg | Legacy Egg format | - | - | Details for Assimulo-3.0-py3.6-linux-x86_64.egg |
| Assimulo-3.0-py3.5-linux-x86_64.egg | Legacy Egg format | - | - | Details for Assimulo-3.0-py3.5-linux-x86_64.egg |
| Assimulo-3.0-py2.7-linux-x86_64.egg | Legacy Egg format | - | - | Details for Assimulo-3.0-py2.7-linux-x86_64.egg |
Total release size: 18.8 MB
Release files / Assimulo-3.0.tar.gz
| Download URL | Assimulo-3.0.tar.gz |
|---|---|
| Size | 1.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
61cdca4562745078c966cc4fab44d8bc0db11a9e6856b45c470ac65c16af9e8a
|
|
BLAKE2b-256 checksum How to use checksums |
28ef4d8b15a0842410bb4ca8f500dadd5ff76fb3e34559f956a51c19b8a4912b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.14.2 setuptools/20.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.15
|
Release files / Assimulo-3.0-py3.6-linux-x86_64.egg
| Download URL | Assimulo-3.0-py3.6-linux-x86_64.egg |
|---|---|
| Size | 6.0 MB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
93615c38c1c02259a00bbeca6fea6ec2edfa65faecec7285ec828f8f943f0265
|
|
BLAKE2b-256 checksum How to use checksums |
8a147b7410e317106ee31c9874b63661f6fb595a0ad344e0a648a1e71fb761ff
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.14.2 setuptools/20.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.15
|
Release files / Assimulo-3.0-py3.5-linux-x86_64.egg
| Download URL | Assimulo-3.0-py3.5-linux-x86_64.egg |
|---|---|
| Size | 5.9 MB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
8a0b46579c20b19efec197717089e6aefd64ad624920c43e76a670751f4b351f
|
|
BLAKE2b-256 checksum How to use checksums |
32b8d3ebedd5f2a1cbf13eac558ac789a2c8bbdc4d1e548cda58e869a2496f14
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.14.2 setuptools/20.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.15
|
Release files / Assimulo-3.0-py2.7-linux-x86_64.egg
| Download URL | Assimulo-3.0-py2.7-linux-x86_64.egg |
|---|---|
| Size | 5.4 MB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
4c02d9f340e30567b8b3d7d9c46f463c6981323fb0f980552f9bd3587a67fd65
|
|
BLAKE2b-256 checksum How to use checksums |
28306cd0c0bb7feb8d5783ad0122790a1c670b5afdbc4883377149058d3756a6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.14.2 setuptools/20.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.15
|
Security for Assimulo 3.0
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.