radis
A fast line-by-line code for high-resolution infrared molecular spectra.
https://github.com/radis/radis
Category: Atmosphere
Sub Category: Radiative Transfer
Keywords
astrophysics closember combustion exoplanets hitemp hitran infrared plasma plasma-physics radiation spectra spectroscopy
Keywords from Contributors
line-by-line
Last synced: 8 minutes ago
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Repository metadata
π± A fast line-by-line code for high-resolution infrared molecular spectra
- Host: GitHub
- URL: https://github.com/radis/radis
- Owner: radis
- License: lgpl-3.0
- Created: 2018-01-25T15:54:18.000Z (over 8 years ago)
- Default Branch: develop
- Last Pushed: 2026-08-04T14:31:41.000Z (6 days ago)
- Last Synced: 2026-08-04T15:06:03.968Z (6 days ago)
- Topics: astrophysics, closember, combustion, exoplanets, hitemp, hitran, infrared, plasma, plasma-physics, radiation, spectra, spectroscopy
- Language: Python
- Homepage: http://radis.github.io/
- Size: 41.8 MB
- Stars: 278
- Watchers: 11
- Forks: 190
- Open Issues: 72
- Releases: 30
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
README.md
RADIS
RADIS is a fast line-by-line code for high resolution infrared molecular spectra (emission / absorption,
equilibrium / non-LTE) based on HITRAN/HITEMP/ExoMol.
Atomic spectra from the NIST and Kurucz databases are also available.
RADIS includes post-processing tools to compare experimental spectra and spectra calculated
with RADIS or other spectral codes.
Full user documentation (advanced install and examples) are available on the RADIS Website.
Getting Started
Install
Assuming you have Python installed with the Anaconda distribution you can use pip:
pip install radis
or mamba or conda via the conda-forge channel:
conda install radis -c conda-forge
That's it! You can now run your first example below.
If you encounter any issue, or to upgrade the package later, please refer to the
detailed installation procedure.
Quick Start
Calculate a CO equilibrium spectrum from the HITRAN database:
from radis import calc_spectrum
s = calc_spectrum(1900, 2300, # cm-1
molecule='CO',
isotope='1,2,3',
pressure=1.01325, # bar
Tgas=700, # K
mole_fraction=0.1,
path_length=1, # cm
databank='hitran' # or 'hitemp'
)
s.apply_slit(0.5, 'nm') # simulate an experimental slit
s.plot('radiance')
Advanced use
The Quick Start examples automatically download the line databases from HITRAN-2016, which is valid for temperatures below 700 K.
For high temperature cases, you may need to use other line databases such as HITEMP-2010 (typically T < 2000 K) or CDSD-4000 (T < 5000 K). HITEMP can also be downloaded
automatically, or can be downloaded manually and described in a ~/radis.json
Configuration file.
More complex examples will require to use the SpectrumFactory
class, which is the core of RADIS line-by-line calculations.
calc_spectrum is a wrapper to SpectrumFactory
for the simple cases.
Compare with experiments
Experimental spectra can be loaded using the experimental_spectrum function
and compared with the plot_diff function. For instance:
from numpy import loadtxt
from radis import experimental_spectrum, plot_diff
w, I = loadtxt('my_file.txt').T # assuming 2 columns
sexp = experimental_spectrum(w, I, Iunit='mW/cm2/sr/nm')
plot_diff(sexp, s) # comparing with spectrum 's' calculated previously
Typical output of plot_diff:
Refer to the Examples section for more examples, and to the
Spectrum page for more post-processing functions.
GPU Acceleration
RADIS supports GPU acceleration for super-fast computation of spectra. Refer to GPU Spectrum Calculation on RADIS for more details on GPU acceleration.
Try online (no installation needed!)
π± Radis-app
A simple web-app for RADIS under development - GitHub
π¬ RADIS-lab
An online environment for advanced spectrum processing and comparison with experimental data:
- no need to install anything
- use pre-configured line databases (HITEMP)
- upload your data files, download your results !
See more on GitHub
Cite
Articles are available at
For reproducibility, do not forget to cite the line database used, and the spectroscopic constants
if running nonequilibrium calculations. See How to cite?
Developer Guide
Contribute
Want to contribute to RADIS? Join the Slack community and we'll help you through the process.
Want to get started immediately? Nice. Have a look at the Developer Guide.
RADIS internals are also described in the full documentation
License
The code is available on this repository under
GNU LESSER GENERAL PUBLIC LICENSE (v3)
References
Links
-
Documentation:
-
Help:
Q&A forum -
Articles:
-
Source Code:
-
Test Status:
-
PyPI Repository:
-
Interactive Examples: radis_examples
-
Fitroom (for advanced multidimensional fitting).
Other Spectroscopic tools
See awesome-spectra 
Owner metadata
- Name: RADIS
- Login: radis
- Email: radis-radiation@googlegroups.com
- Kind: organization
- Description: Fast molecular spectra
- Website: https://radis.github.io/
- Location: https://radis.github.io/slack-invite/
- Twitter: radis_radiation
- Company:
- Icon url: https://avatars.githubusercontent.com/u/35809936?v=4
- Repositories: 20
- Last ynced at: 2026-08-06T18:21:09.605Z
- Profile URL: https://github.com/radis
GitHub Events
Total
- Release event: 5
- Delete event: 22
- Pull request event: 205
- Fork event: 42
- Issues event: 125
- Watch event: 39
- Issue comment event: 576
- Push event: 225
- Gollum event: 2
- Pull request review comment event: 268
- Pull request review event: 286
- Create event: 31
Last Year
- Release event: 1
- Delete event: 12
- Pull request event: 53
- Fork event: 10
- Issues event: 27
- Watch event: 13
- Issue comment event: 144
- Push event: 114
- Pull request review comment event: 70
- Pull request review event: 58
- Create event: 10
Committers metadata
Last synced: about 8 hours ago
Total Commits: 3,948
Total Committers: 70
Avg Commits per committer: 56.4
Development Distribution Score (DDS): 0.616
Commits in past year: 395
Committers in past year: 17
Avg Commits per committer in past year: 23.235
Development Distribution Score (DDS) in past year: 0.587
| Name | Commits | |
|---|---|---|
| Erwan Pannier | e****r@g****m | 1516 |
| NicolasEM2C | n****i@c****r | 578 |
| Dirk van den Bekerom | d****m@g****m | 364 |
| Josh Soref | 2****f | 175 |
| Prtm2110 | p****e@g****m | 167 |
| anandxkumar | a****0@g****m | 131 |
| Darshan Patil | d****5@g****m | 127 |
| menasrac | r****a@s****r | 72 |
| Pankaj Mishra | p****1@g****m | 66 |
| Somesh | 1****a@g****m | 64 |
| CorentinGrimaldi | c****i@p****m | 62 |
| code29563 | 8****3 | 60 |
| Tanisha Dahale | t****5@g****m | 53 |
| Hajime Kawahara | d****t@g****m | 46 |
| zeyad zahran | 2****1@f****g | 42 |
| Tran Huu Nhat Huy | h****5@g****m | 41 |
| Supriya1702 | s****i@g****m | 39 |
| Merin Theres Jose | m****e@g****m | 38 |
| gagan-aryan | g****9@g****m | 31 |
| mohyware | m****0@g****m | 26 |
| Sagar Chotalia | s****2@g****m | 20 |
| adityabharadwaj198 | a****8@g****m | 19 |
| Sonika | s****7@g****m | 18 |
| Omiii-215 | o****1@g****m | 16 |
| Susannah KlaneΔek | s****l@p****h | 16 |
| Nicolas MINESI | n****i@e****r | 12 |
| arunavabasu-03 | a****v@g****m | 12 |
| Ritwik Saha | s****8@g****m | 10 |
| gh4ag | g****d@g****m | 9 |
| 123 | a****3@1****l | 8 |
| and 40 more... | ||
Committer domains:
- ecp.fr: 3
- rayference.eu: 2
- babcock.com: 1
- student.ecp.fr: 1
- g.ucla.edu: 1
- umich.edu: 1
- grad.nao.ac.jp: 1
- protonmail.ch: 1
- fci.zu.edu.eg: 1
- student-cs.fr: 1
- centralesupelec.fr: 1
Issue and Pull Request metadata
Last synced: about 7 hours ago
Total issues: 216
Total pull requests: 411
Average time to close issues: 10 months
Average time to close pull requests: about 1 month
Total issue authors: 59
Total pull request authors: 61
Average comments per issue: 3.66
Average comments per pull request: 3.51
Merged pull request: 254
Bot issues: 0
Bot pull requests: 0
Past year issues: 19
Past year pull requests: 82
Past year average time to close issues: 2 months
Past year average time to close pull requests: 29 days
Past year issue authors: 10
Past year pull request authors: 22
Past year average comments per issue: 1.79
Past year average comments per pull request: 3.62
Past year merged pull request: 34
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- erwanp (57)
- minouHub (37)
- dcmvdbekerom (18)
- Prtm2110 (10)
- code29563 (5)
- saradelahaie (5)
- HajimeKawahara (5)
- Rockyuo666 (5)
- Airfooox (3)
- TranHuuNhatHuy (3)
- CorentinGrimaldi (3)
- Zeyadzahran (3)
- merintheres (3)
- prathamhole14 (3)
- bfrangi (2)
Top Pull Request Authors
- minouHub (91)
- erwanp (42)
- darshvn (37)
- Prtm2110 (25)
- HajimeKawahara (19)
- prabhat-kumar96 (18)
- Zeyadzahran (17)
- mohyware (16)
- code29563 (10)
- 1someshverma (10)
- prathamhole14 (9)
- tanishadahale (9)
- merintheres (8)
- TranHuuNhatHuy (7)
- dcmvdbekerom (7)
Top Issue Labels
- bug (92)
- enhancement (45)
- todo (42)
- good first issue (32)
- physics (26)
- interface (20)
- π. (15)
- ci-dev (14)
- databases (12)
- performance (11)
- π‘gsoc (11)
- documentation (8)
- help wanted (8)
- refactor (7)
- post-process (5)
- db:hitran (4)
- db:exomol (4)
- π€π€. (4)
- gpu (3)
- use-case (2)
- db:hitemp (2)
- βββ_ (2)
- inactive-notice (1)
Top Pull Request Labels
- bug (32)
- ci-dev (30)
- interface (26)
- documentation (18)
- physics (17)
- performance (17)
- databases (14)
- db:hitemp (10)
- db:exomol (8)
- gpu (4)
- db:hitran (3)
- enhancement (3)
- post-process (2)
- βββ_ (2)
- refactor (1)
- todo (1)
- inactive-notice (1)
Dependencies
- astropy *
- astroquery >=0.3.9
- beautifulsoup4 *
- configparser *
- cython *
- h5py *
- habanero *
- hitran-api *
- hjson *
- ipython >=7.0.0
- joblib *
- json-tricks >=3.15.0
- lxml *
- matplotlib *
- mpldatacursor *
- numba *
- numpy <=1.22.3
- pandas >=1.0.5
- peakutils *
- plotly >=2.5.1
- progressbar2 *
- psutil *
- publib >=0.3.2
- pytest *
- scipy >=1.4.0
- seaborn *
- tables *
- termcolor *
- tuna *
- vaex >=4.9.2
- hitran-api *
- hjson *
- json-tricks >=3.15.0
- lxml *
- mpldatacursor *
- peakutils *
- publib >=0.3.2
- ruamel.yaml *
- astropy >=4.3.1
- astroquery >=0.4.6
- beautifulsoup4 >=4.10.0
- cantera >=2.5.1
- configparser
- cython
- h5py >=3.2.1
- habanero >=1.2.0
- joblib
- lmfit
- matplotlib
- numba
- numpy
- pandas <2.0.0
- pip
- plotly >=2.5.1
- progressbar2
- psutil
- pytables
- python 3.8.*
- scipy >=1.4.0
- seaborn
- specutils
- termcolor
- vaex-core >=4.17.0
- vaex-hdf5
- vaex-viz
Score: 10.106428396532818