The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 13 Python high-performance-computing Projects
-
InfluxDB
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.
-
prometeo
An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
-
WorkOS
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.
-
mpi4jax
Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap:
-
pyhpc-benchmarks
A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:
-
Fast-Poisson-Image-Editing
A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.
-
PSyclone
Domain-specific compiler and code transformation system for Finite Difference/Volume/Element Earth-system models in Fortran
Project mention: tf-quant-finance: NEW Derivatives and Hedging - star count:3911.0 | /r/algoprojects | 2023-06-10
Project mention: The Law of Large Numbers, or Why It Is a Bad Idea to Go to the Casino | news.ycombinator.com | 2023-05-14It was actually invented for this.
Open source radiation transport Monte Carlo code here if you'd like to play around:
https://github.com/openmc-dev/openmc
Project mention: Looking for HLS frameworks to start deploying DL algorithms on FPGAs | /r/FPGA | 2023-06-20
Python high-performance-computing related posts
- Can LLMs learn from a single example?
- Are there any libraries that can easily convert Python to C/C#/or C++? Ones where a person doesn't have to "calibrate" it, just, pip install library and then they can have their Python code in C,C#,or C++?
- FPGA high-level programming
- how much does it actually cost in terms of computer power for open AI to respond
- I made a Python compiler, that can compile Python source down to fast, standalone executables.
- Alpa: Auto-parallelizing large model training and inference (by UC Berkeley)
- Profiling and Analyzing Performance of Python Programs
-
A note from our sponsor - WorkOS
workos.com | 24 Apr 2024
Index
What are some of the best open-source high-performance-computing projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | metaflow | 7,586 |
2 | tf-quant-finance | 4,265 |
3 | alpa | 2,979 |
4 | openmc | 692 |
5 | prometeo | 610 |
6 | dace | 465 |
7 | pysph | 424 |
8 | mpi4jax | 369 |
9 | pyhpc-benchmarks | 300 |
10 | Fast-Poisson-Image-Editing | 197 |
11 | torchquad | 158 |
12 | PSyclone | 94 |
13 | python-performance-playground | 4 |
Sponsored