| vincent | tuna | |
|---|---|---|
| - | 4 | |
| 2,056 | 1,263 | |
| - | - | |
| 0.0 | 0.0 | |
| over 7 years ago | about 2 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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vincent
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Tracking mentions began in Dec 2020.
tuna
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Is AWS Lambda Cold Start Still an Issue?
Every minor detail matters and adds to the total import time as part of the cold start. We need to optimize our code and imports. If you use Python, you can analyze your code with a tool like Tuna and optimize your libraries (perhaps replace slower ones) and your imports.
- Make Python Run Faster
- Scanning Function calls in a script - is there a tool?
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Creating a Python CLI with Go(lang)-comparable startup times
I started to examine the output of python -X importtime -m gefyra 2> import.log just to check the imports. There is an awesome tool to analyze the Python imports: tuna (see: https://github.com/nschloe/tuna). tuna allows analyzing the import times from the log. Run it like so tuna import.log. It opens a browser window and visualizes the import times. With that I was able to manually move all imports to the functions in which they are needed (and bring in some other optimizations). This greatly violates PEP 8 (https://peps.python.org/pep-0008/#imports) but leads to very fast startup times.
What are some alternatives?
Altair - Declarative statistical visualization library for Python
SnakeViz - An in-browser Python profile viewer
matplotlib - matplotlib: plotting with Python
seaborn - Statistical data visualization in Python
ggplot - ggplot port for python
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]