https://github.com/casadi/promo
Promotional material for casadi
https://github.com/casadi/promo
Last synced: 3 months ago
JSON representation
Promotional material for casadi
- Host: GitHub
- URL: https://github.com/casadi/promo
- Owner: casadi
- License: lgpl-3.0
- Created: 2014-10-21T14:35:40.000Z (almost 11 years ago)
- Default Branch: master
- Last Pushed: 2025-07-09T17:34:08.000Z (3 months ago)
- Last Synced: 2025-07-10T02:11:50.422Z (3 months ago)
- Size: 462 KB
- Stars: 0
- Watchers: 4
- Forks: 2
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Number of citations:
* 4520 (as of okt 2024, [google scholar](https://scholar.google.com/citations?user=EGVRNtEAAAAJ&hl=en&oi=sra), sum of 3 main)
* According to web of science, in 1% of most cited papers in computer science
* Of all KU Leuven affliated papers since 2019, our journal publication holds rank #9: https://www.webofscience.com/wos/woscc/summary/f20ea858-6fcc-44a7-adce-c9321abbe80b-ff81b2bd/times-cited-descending/1
Number of downloads:
* Python
* pypi: 
* conda: 
* github releases: 1000 per month (as of January 2024) (github_stats.py)
* Matlab
* 1100 per month (as of January 2024) (github_stats.py)
* Octave
* 65 per month (as of January 2024) (github_stats.py)* Github releases lumped together
* Number of users (internation_kpi sheet, as of January 2024)
* 77 universities (subscribed to newsletter and/or training activities)
* 30 organizations (commercial and subsidized)

Projects depending on CasADi:
* Python projects on pypi: 
* Github repos: 2300+ (as of November 2024, https://github.com/casadi/casadi/network/dependents )
* Github packages: 100 (as of November 2024, https://github.com/casadi/casadi/network/dependents )List of software tools dependent on CasADi (see e.g. https://github.com/meco-group/dynamic_optimization_inventory/blob/main/list.csv)
1. JModelica.org
2. omg-tools
3. [MPCTools](https://bitbucket.org/rawlings-group/mpc-tools-casadi/src/master/): MPC and MHE, Rawlings' group
4. RTC-tools
5. openocl.org
6. [rockit](https://gitlab.kuleuven.be/meco-software/rockit): KU Leuven MECO
7. yop
8. [do-MPC](https://github.com/do-mpc/do-mpc): Robust multi-stage MPC, MHE, Lucia's group
9. hilo-mpc
10. MATMPC
11. Optimization Engine
12. [acados](https://github.com/acados/acados): Real-time MPC, Diehl's group
13. PyBaMM
14. Tasho
15. Bioptim
16. [3dpredictsim](https://github.com/antoinefalisse/3dpredictsim)
17. [Horizon](https://github.com/ADVRHumanoids/horizon)
18. NOSNOC
19. Modelon impact
20. Forces PRO
21. OASE, Flanders Make
22. [paresto](https://github.com/rawlings-group/paresto): Parameter estimation, Rawlings' group
23. [TuneMPC](https://github.com/jdeschut/tunempc/): economic tuning of MPC, uses acados and casadi, from Zanon and Diehl
24. [UKF-SNMPC](https://github.com/Eric-Bradford/UKF-SNMPC): Stochastic MPC with UKF (Bradford)
25. [SDD-GP-MPC](https://github.com/Eric-Bradford/SDD-GP-MPC): Gaussian processes and MPC (Bradford)
26. [casiopeia](https://github.com/adbuerger/casiopeia): Parameter estimation and optimal experiment design
27. [NLoed](https://github.com/NateBraniff/NLoed): optimal experiment design
28. [ml-casadi](https://github.com/TUM-AAS/ml-casadi): PyTorch + CasADi (superseded by L4CasADi below)
29. Fatrop
30. [L4CasADi](https://github.com/Tim-Salzmann/l4casadi): Use PyTorch models within CasADi
31. [OpTaS](https://cmower.github.io/optas/)
32. [csnlp](https://github.com/FilippoAiraldi/casadi-nlp)
33. [nmpyc](https://github.com/nMPyC/nmpyc)
34. [OpenAP Trajectory Optimizer](https://github.com/junzis/openap-top/)
35. [Alpaqa](https://github.com/kul-optec/alpaqa)
36. [matADi](https://github.com/adtzlr/matadi): Material Definition with Automatic Differentiation.
37. [SIPPY](https://github.com/CPCLAB-UNIPI/SIPPY): System identification
38. [Monomers to Polymers (m2p)](https://github.com/NREL/m2p)
39. [MPOPT](https://github.com/mpopt/mpopt): pseudo-spectral collocation methods
40. [AeroSandbox](https://github.com/peterdsharpe/AeroSandbox)
41. [Pymoca](https://github.com/pymoca/pymoca)
42. [mopeds](https://git.tu-berlin.de/dbta/optimization/mopeds)
43. [CADquery](https://github.com/CadQuery/cadquery)List of books featuring CasADi
1. [Model Predictive Control: Theory, Computation, and Design](https://sites.engineering.ucsb.edu/~jbraw/mpc/)
2. [Learning with Python and CasADi model predictive control](https://www.amazon.co.jp/Python%E3%81%A8CasADi%E3%81%A7%E5%AD%A6%E3%81%B6%E3%83%A2%E3%83%87%E3%83%AB%E4%BA%88%E6%B8%AC%E5%88%B6%E5%BE%A1-KS%E7%90%86%E5%B7%A5%E5%AD%A6%E5%B0%82%E9%96%80%E6%9B%B8-%E6%B7%B1%E6%B4%A5-%E5%8D%93%E5%BC%A5/dp/4065356113)Companies using CasADi (public disclosure)
1. ionworks https://ion-works.com/
2. Modelon
3. IAV https://www.iav.com/INT_en/solutionsResearch projects using CasADi
1. ROCSIS (KULeuven as partner)
2. ID2CON (KULeuven as partner)
3. AVCON (KULeuven as partner)
4. DriveTrain codedesign (KULeuven as partner)
5. Dirac SBO (KULeuven as partner)
6. ARENA SBO (KULeuven as partner)
7. WORKDRIVE SBO (KULeuven as partner)
8. FROGS (KULeuven as partner)
9. Assistant IRVA (KULeuven as partner)
10. ELOX Marie Curie (KULeuven as partner)