Cij Alternatives

Similar projects and alternatives to cij

hn-search

1,615 524 2.9 TypeScript cij VS hn-search

Hacker News Search
PyO3

147 10,947 9.8 Rust cij VS PyO3

Rust bindings for the Python interpreter
InfluxDB

www.influxdata.com sponsored

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Numba

124 9,432 9.9 Python cij VS Numba

NumPy aware dynamic Python compiler using LLVM
codon

34 13,819 7.9 C++ cij VS codon

A high-performance, zero-overhead, extensible Python compiler using LLVM
ideas4

26 89 4.6 cij VS ideas4

An Additional 100 Ideas for Computing https://samsquire.github.io/ideas4/
rust-numpy

10 1,015 6.7 Rust cij VS rust-numpy

PyO3-based Rust bindings of the NumPy C-API
autograd

6 6,782 6.0 Python cij VS autograd

Efficiently computes derivatives of numpy code.
WorkOS

workos.com sponsored

The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
fbpic

2 165 7.6 Python cij VS fbpic

Spectral, quasi-3D Particle-In-Cell code, for CPU and GPU
pure_numba_alias_sampling

1 3 10.0 Python cij VS pure_numba_alias_sampling

Pure numba version of Alias sampling algorithm from L. Devroye's, "Non-Uniform Random Random Variate Generation"
qha

1 28 8.3 Python cij VS qha

A Python package for calculating thermodynamic properties under quasi-harmonic approximation, using data from ab-initio calculations

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better cij alternative or higher similarity.

Suggest an alternative to cij

cij reviews and mentions

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
11 projects | news.ycombinator.com | 27 Dec 2022

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