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Warp Alternatives
Similar projects and alternatives to warp
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Nuitka
Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
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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.
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jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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prysm
physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing... (by brandondube)
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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.
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epython
EPython is a typed-subset of the Python for extending the language new builtin types and methods
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better warp alternative or higher similarity.
warp reviews and mentions
Posts with mentions or reviews of warp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-10.
- Warp 0.5.0 is out! A Python framework for high performance GPU simulation and graphics
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Options for GPU accelerated python experiments?
About to embark on some physics simulation experiments and am hoping to get some input on available options for making use of my GPU through Python: Currently reading the docs for NVIDIA Warp, and CUDA python but would appreciate any other pointers on available packages or red flags on packages that are more hassle than they are worth to learn.
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Cython Is 20
I would recommend using NanoBind, the follow up of PyBind11 by the same author (Wensel Jakob), and move as much performance critical code to C or C++. https://github.com/wjakob/nanobind
If you really care about performance called from Python, consider something like NVIDIA Warp (Preview). Warp jits and runs your code on CUDA or CPU. Although Warp targets physics simulation, geometry processing, and procedural animation, it can be used for other tasks as well. https://github.com/NVIDIA/warp
Jax is another option, by Google, jitting and vectorizing code for TPU, GPU or CPU. https://github.com/google/jax
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A note from our sponsor - InfluxDB
www.influxdata.com | 19 Apr 2024
Stats
Basic warp repo stats
4
1,668
9.8
28 days ago
NVIDIA/warp is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of warp is Python.
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