GooPyCharts
SnakeViz
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GooPyCharts | SnakeViz | |
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- | 10 | |
205 | 2,225 | |
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0.0 | 5.2 | |
over 6 years ago | 5 months ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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GooPyCharts
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Tracking mentions began in Dec 2020.
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
What are some alternatives?
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.
tuna - :fish: Python profile viewer
pygal - PYthon svg GrAph plotting Library
pygraphviz - Python interface to Graphviz graph drawing package
matplotlib - matplotlib: plotting with Python
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
VisPy - Main repository for Vispy
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
line_profiler - Line-by-line profiling for Python
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
bokeh - Interactive Data Visualization in the browser, from Python