FLiP-Pi-Iceberg-Thermal
codon
| FLiP-Pi-Iceberg-Thermal | codon | |
|---|---|---|
| 3 | 34 | |
| 2 | 13,878 | |
| - | 0.8% | |
| 10.0 | 7.9 | |
| over 1 year ago | 7 days ago | |
| C++ | ||
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
FLiP-Pi-Iceberg-Thermal
- Mastodon Streaming to Apache Pulsar via Python
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FLiP Stack Weekly 19-dec-2022
Apache Iceberg Lakehouse Sink Now Available https://github.com/tspannhw/FLiP-Pi-Iceberg-Thermal
- Streaming Data to Apache Iceberg Lakehouses
codon
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Should I Open Source my Company?
https://github.com/exaloop/codon/blob/develop/LICENSE
Here are some others: https://github.com/search?q=%22Business+Source+License%22+%2...
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Python running on the Dart VM?
I found at least one project that managed to compile python AOT to LLVM https://github.com/exaloop/codon. Even if LLVM is more expressive than Dart Kernel, that should at least be some evidence that this might not be too impractical.
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Codon: Python Compiler
Their fannkuch benchmark seems to be a bit dishonest. They claim an enormous perf delta on https://exaloop.io/benchmarks.html but fannkuch uses factorial a lot and they define factorial with a very small (n=20) table: https://github.com/exaloop/codon/blob/fb461371613049539654c1...
Disclaimer: I've worked on several Python runtimes and compilers, but I'm not by any means out to get Codon. Just happened across this by accident while looking at their inline LLVM, which is neat.
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The father of Swift made another baby: Mojo: looks to be based on Python using MLIR
If you literally want Python, but compiled ... Look at Codon: https://github.com/exaloop/codon
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Mojo – a new programming language for all AI developers
Another "Python with high-performance compiled builds" would be https://github.com/exaloop/codon.
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MIT Turbocharges Python’s Notoriously Slow Compiler
This is the project being discussed: https://github.com/exaloop/codon
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Is there a way to use turn a project into a single executable file that doesn't require anyone to do anything like install Python before using it?
Try Codon? https://github.com/exaloop/codon
- Since when did Python haters spread out everywhere? Maybe DNF5 would be faster because of ditched it, maybe.
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Budget HomeLab converted to endless money-pit
https://github.com/exaloop/codon might save you from the rewrite.
- What are your thoughts on Codon compiler having a paid licence?
What are some alternatives?
terminal-copilot - A smart terminal assistant that helps you find the right command.
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.
Mastodon.py - Python wrapper for the Mastodon ( https://github.com/mastodon/mastodon/ ) API.
Numba - NumPy aware dynamic Python compiler using LLVM
docker-spark-iceberg
Cython - The most widely used Python to C compiler
daath-ai-parser - Daath AI Parser is an open-source application that uses OpenAI to parse visible text of HTML elements.
taichi - Productive, portable, and performant GPU programming in Python.
pynimate - Python package for statistical data animations
julia - The Julia Programming Language
meetups - Meetup Materials
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).