py-spy
rust-analyzer
py-spy | rust-analyzer | |
---|---|---|
25 | 207 | |
11,864 | 9,320 | |
- | - | |
6.4 | 10.0 | |
21 days ago | about 2 years ago | |
Rust | Rust | |
MIT License | 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.
py-spy
- Minha jornada de otimização de uma aplicação django
- Graphical Python Profiler
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Grasshopper – An Open Source Python Library for Load Testing
For CPU cycles, py-spy[0] is getting more and more used. For RAM, I would like to known too...
[0] -- https://github.com/benfred/py-spy
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Debugging a Mixed Python and C Language Stack
Theres also Py Spy, a profiling tool that can generate flame charts containing a mix of python and C (or C++) calls.
https://github.com/benfred/py-spy
It's worked really well for my needs
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python to rust migration
You should profile your consumer to check the bottlenecks. You can use the excellent py-spy(written in Rust). IMO a few usage of Numba there and there should solve your performance issues.
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Has anyone switched from numpy to Rust?
So as a first step you'll want to profile your program to figure out where it's slow, and hopefully that'll also tell you why it's slow. I'm the (biased) author of the Sciagraph profiler which is designed for this sort of application (https://sciagraph.com) but you can also try py-spy, which isn't as well designed for data processing/analysis applications (e.g. it won't visualize parallelism at all) but can still be informative (https://github.com/benfred/py-spy). Both are written in Rust ;)
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Trace your Python process line by line with minimal overhead!
Any advantages/disadvantages compared to py-spy [1]?
[1]: https://github.com/benfred/py-spy
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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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Tales of serving ML models with low-latency
A good profiler would be https://github.com/benfred/py-spy . If you run your app/benchmark with it, it should be able to draw a flamegraph telling you where the majority of time is spent. The info here is quite fine grained so it would already tell you where the bottleneck is. Without a full-fledged profiler you can also measure the timings in various parts of the code to understand where the bottleneck is.
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Profiling a Python library written in Rust (Maturin)
Might be worth raising an issue on py-spy (a python profiler written in rust which "supports profiling native python extensions written in languages like C/C++ or Cython" to see if that can close the loop.
rust-analyzer
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rust-analyzer changelog #177
#14561 map tokens from include! expansion to the included file
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Make LSP-Rust-analyzer works
return { tools = { -- autoSetHints = false, on_initialized = function() vim.api.nvim_create_autocmd({ "BufWritePost", "BufEnter", "CursorHold", "InsertLeave" }, { pattern = { "*.rs" }, callback = function() vim.lsp.codelens.refresh() end, }) end, auto = false, inlay_hints = { -- Only show inlay hints for the current line only_current_line = false, auto = false, -- Event which triggers a refersh of the inlay hints. -- You can make this "CursorMoved" or "CursorMoved,CursorMovedI" but -- not that this may cause higher CPU usage. -- This option is only respected when only_current_line and -- autoSetHints both are true. only_current_line_autocmd = "CursorHold", -- whether to show parameter hints with the inlay hints or not -- default: true show_parameter_hints = false, -- whether to show variable name before type hints with the inlay hints or not -- default: false show_variable_name = false, -- prefix for parameter hints -- default: "<-" -- parameter_hints_prefix = "<- ", parameter_hints_prefix = " ", -- prefix for all the other hints (type, chaining) -- default: "=>" -- other_hints_prefix = "=> ", other_hints_prefix = " ", -- whether to align to the lenght of the longest line in the file max_len_align = false, -- padding from the left if max_len_align is true max_len_align_padding = 1, -- whether to align to the extreme right or not right_align = false, -- padding from the right if right_align is true right_align_padding = 7, -- The color of the hints highlight = "Comment", }, hover_actions = { auto_focus = false, border = "rounded", width = 60, -- height = 30, }, }, server = { --[[ $ mkdir -p ~/.local/bin $ curl -L https://github.com/rust-analyzer/rust-analyzer/releases/latest/download/rust-analyzer-x86_64-unknown-linux-gnu.gz | gunzip -c - > ~/.local/bin/rust-analyzer $ chmod +x ~/.local/bin/rust-analyzer --]] -- cmd = { os.getenv "HOME" .. "/.local/bin/rust-analyzer" }, cmd = { os.getenv "HOME" .. "~/.cargo/bin/rust-analyzer" }, on_attach = require("user.lsp.handlers").on_attach, capabilities = require("user.lsp.handlers").capabilities, settings = { ["rust-analyzer"] = { lens = { enable = true, }, checkOnSave = { command = "clippy", }, }, }, }, }
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rust-analyzer changelog #164
I would like changes like https://github.com/rust-analyzer/rust-analyzer/pull/13799 to be listed in 'Breaking Changes' category, to приманка draw the users' attention.
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Mun v0.4.0 released
For those of you who haven’t heard of Mun before, Mun is an embeddable programming language empowering creation through iteration. The idea to create Mun originated out of frustration with the Lua dynamic scripting language and a desire to have similar hot reloading functionality available in Rust. As such, it’s not a direct competitor with Rust, but instead is intended to be used with Rust (or C/C++) as a host/embedded language pairing. Actually, Mun is completely written in Rust, building on similar crates as rust-analyzer and rustc. Its key features include:
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rust-analyzer changelog #159
#13728 upgrade chalk to make solver fuel work again (works around most trait solving hangs).
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rust-analyzer changelog #147
#13221 (first contribution) add option to move lenses above doc comments (rust-analyzer.lens.location):
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Does Rust need proc-macros 2.0?
Rust-analyzer has a good overview: https://github.com/rust-analyzer/rust-analyzer/blob/master/docs/dev/syntax.md
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rust-analyzer changelog #134
#12517 (first contribution) fix completion for methods in trait generated by macro.
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LSP Rust Analyzer keeps telling me `Error NO_RESULT_CALLBACK_FOUND`
-- all the opts to send to nvim-lspconfig -- these override the defaults set by rust-tools.nvim -- see https://github.com/neovim/nvim-lspconfig/blob/master/doc/server_configurations.md#rust_analyzer server = { -- on_attach is a callback called when the language server attachs to the buffer -- on_attach = on_attach, settings = { -- to enable rust-analyzer settings visit: -- https://github.com/rust-analyzer/rust-analyzer/blob/master/docs/user/generated_config.adoc ["rust-analyzer"] = { -- enable clippy on save checkOnSave = { command = "clippy" }, assist = { importGranularity = "module", importPrefix = "self", }, cargo = { loadOutDirsFromCheck = true }, procMacro = { enable = true }, } } },
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rust-analyzer changelog #130
#12349 publish universal VSIX to make Code happy.
What are some alternatives?
pyflame
vscode-rust - Rust extension for Visual Studio Code
pyinstrument - 🚴 Call stack profiler for Python. Shows you why your code is slow!
Clippy - A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/
python-uncompyle6 - A cross-version Python bytecode decompiler
intellij-rust - Rust plugin for the IntelliJ Platform
memory_profiler - Monitor Memory usage of Python code
rustfmt - Format Rust code
icecream - 🍦 Never use print() to debug again.
eglot - A client for Language Server Protocol servers
line_profiler
rust - Empowering everyone to build reliable and efficient software.