cij
Semiemperical quasiharmonic thermal elasticity (by MineralsCloud)
qha
A Python package for calculating thermodynamic properties under quasi-harmonic approximation, using data from ab-initio calculations (by MineralsCloud)
| cij | qha | |
|---|---|---|
| 1 | 1 | |
| 13 | 28 | |
| - | - | |
| 4.0 | 8.3 | |
| 14 days ago | 3 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cij
Posts with mentions or reviews of cij.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-27.
-
Numba: A High Performance Python Compiler
Software from our group (cij[1], qha[2]) were developed when numba seems to be the best option for JIT. It generates more pain in the hindsight. It generates a lot of depreciated warning due to unstable API, locked numpy to a certain version (i remember 1.21) due to compatibility issues, and when M1 Mac comes out, there were for a long time lack of llvmlite porting to the new platform, so cannot run on these new Macs.
If I had to do it again I would just use plain numpy or use the JAX from Google if JIT is really necessary.
[1]: https://github.com/MineralsCloud/cij
[2]: https://github.com/MineralsCloud/qha
qha
Posts with mentions or reviews of qha.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-27.
-
Numba: A High Performance Python Compiler
Software from our group (cij[1], qha[2]) were developed when numba seems to be the best option for JIT. It generates more pain in the hindsight. It generates a lot of depreciated warning due to unstable API, locked numpy to a certain version (i remember 1.21) due to compatibility issues, and when M1 Mac comes out, there were for a long time lack of llvmlite porting to the new platform, so cannot run on these new Macs.
If I had to do it again I would just use plain numpy or use the JAX from Google if JIT is really necessary.
[1]: https://github.com/MineralsCloud/cij
[2]: https://github.com/MineralsCloud/qha
What are some alternatives?
When comparing cij and qha you can also consider the following projects:
fbpic - Spectral, quasi-3D Particle-In-Cell code, for CPU and GPU
autograd - Efficiently computes derivatives of numpy code.
pure_numba_alias_sampling - Pure numba version of Alias sampling algorithm from L. Devroye's, "Non-Uniform Random Random Variate Generation"
hn-search - Hacker News Search