SnakeViz
flamegraph
SnakeViz | flamegraph | |
---|---|---|
10 | 47 | |
2,235 | 4,287 | |
- | 2.1% | |
5.2 | 7.4 | |
5 months ago | 16 days ago | |
Python | Rust | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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SnakeViz
- Alternative to for loop in python ?
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Python Built-in vs Looping
From the same guy, use snakeviz to diagnose code. Video: [9:57] https://www.youtube.com/watch?v=m_a0fN48Alw
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Python 3.11 delivers.
Python profiling is enabled primarily through cprofile, and can be visualized with help of tools like snakeviz (output flame graph can look like this). There are also memory profilers like memray which does in-depth traces, or sampling profilers like py-spy.
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Hey Rustaceans! Got a question? Ask here! (40/2022)!
I'm looking for a Rust equivalent Python's cProfile https://docs.python.org/3/library/profile.html if possible with visualizations like in SnakeViz https://jiffyclub.github.io/snakeviz/
- Scanning Function calls in a script - is there a tool?
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Apply decorator to all functions in a list
If you want stats for only your list of functions, you can do that with pstats, or you could use some third-party tool like https://jiffyclub.github.io/snakeviz/ or myriad other options.
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An efficient way of getting second neighbors of a point in a grid.
I would make a list of tuples where each tuple is (2,0),(-2,0),(0,2),etc... and put those in a list. Then you can use random.choice to pick a random one out of the list. How often are you going to be doing this next to the edge of the grid? If its not that much then I would just try to have it re-draw a new random choice from the list in those cases. This isn't an elegant solution, since it could take an unknown amount of time to draw something valid, but it might be fast enough in practice. Then if that ends up causing issues on the edge cases you could have some logic to select a list to draw from that only contains the valid choices. Also remember, don't assume that some part of your code is the slow part. Always profile it to get some actual information on how long each section is taking so you can optimize the parts of the code that actually need it. I use snakeviz for profiling python code.
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Profiled my Python video game code and then used snakeviz to check for performance bottlenecks
Official site: http://jiffyclub.github.io/snakeviz/
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Pyheatmagic: Profile and view your Python code as a heat map
I've always used snakeviz with the stdlib profiler https://jiffyclub.github.io/snakeviz/
In prod, the pyinstrument profiler has worked well for me https://pyinstrument.readthedocs.io/en/latest/guide.html#pro...
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Need a help to optimize the code when using pandas
its going to be very hard to give advice on this without seeing the code. could you share the relevant code? if you're not sure what the slow part is, i recommend https://jiffyclub.github.io/snakeviz/ it should allow you to see what function is taking long
flamegraph
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Rust Tooling: 8 tools that will increase your productivity
You can install cargo-flamegraph with cargo install flamegraph. There are some underlying requirements to be able to use cargo-flamegraph; you will want to take a look at the repo here to make sure you have the right dependencies.
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Need help making sense of these benchmark results
I tried to diagnose the issue with flamegraph, but unfortunately the flamegraph didn't show anything beyond the next call for some reason
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Why is my code so slow ? advent of code 2022, day 16 (basic graph stuff)
having some tools to identify slowness origins (flamegraph is one... but not sure it's the way to go)
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why is my code so slow ? advent of code 2023, day 16 (basic graph stuff)
I'm currently implementing a solution for the first part of the day 16. It work but it is really slow... I'd like to : - understand why - having some tools to identify slowness origins (flamegraph is one... but not sure it's the way to go) - eventually have some clue/solution/idea - have general feedback on what in my "coding style" is not appropriate for rust (I come from java/kotlin/ts even if I've already coded a bit in c/c++) : for example I love iterator & sequence but i feel they are not really suited to overuse in rust (mostly because of async & result).
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how expensive is an operation?
Use a profiler. Flamegraph is a good way to visualise profiler output. This lets you identify which functions are taking up a large amount of time - and hence helps you identify where to focus your optimisation efforts.
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Slow Rust Redis
You tried trying to see what takes the most time under load via flames? https://github.com/flamegraph-rs/flamegraph
- making a virtual machine in rust
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Need help with rust performance
Well, in cases like that the answer is straight forward, use a profiler like https://github.com/flamegraph-rs/flamegraph
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superdiff - a way to find similar code blocks in projects (comments appreciated)
I don't see any obvious problems with your algorithm. I've had luck using cargo-flamegraph to identify the slow parts of my code. That's going to show you which parts to focus on improving the performance of!
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Data-driven performance optimization with Rust and Miri
From the readme of cargo flamegraph:
What are some alternatives?
tuna - :fish: Python profile viewer
cargo-flamegraph - Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3
pygraphviz - Python interface to Graphviz graph drawing package
tracing - Application level tracing for Rust.
GooPyCharts - A Google Charts API for Python, meant to be used as an alternative to matplotlib.
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
Flask JSONDash - :snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.
hashbrown - Rust port of Google's SwissTable hash map
VisPy - Main repository for Vispy
heaptrack - A heap memory profiler for Linux
line_profiler - Line-by-line profiling for Python
snmalloc-rs - rust bindings of snmalloc