browsers VS tuna

Compare browsers vs tuna and see what are their differences.

browsers

Python library for detecting and launching browsers (by roniemartinez)
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browsers tuna
2 4
22 1,263
- -
7.1 0.0
10 days ago about 2 months ago
Python Python
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

browsers

Posts with mentions or reviews of browsers. We have used some of these posts to build our list of alternatives and similar projects.

tuna

Posts with mentions or reviews of tuna. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-18.
  • Is AWS Lambda Cold Start Still an Issue?
    2 projects | dev.to | 18 Mar 2024
    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
    1 project | news.ycombinator.com | 26 Oct 2022
  • Scanning Function calls in a script - is there a tool?
    4 projects | /r/learnpython | 22 Sep 2022
  • Creating a Python CLI with Go(lang)-comparable startup times
    5 projects | /r/Python | 23 Mar 2022
    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?

When comparing browsers and tuna you can also consider the following projects:

SnakeViz - An in-browser Python profile viewer

Altair - Declarative statistical visualization library for Python

ggplot - ggplot port for python

seaborn - Statistical data visualization in Python

vincent

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]

matplotlib - matplotlib: plotting with Python

PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications

bokeh - Interactive Data Visualization in the browser, from Python

VisPy - Main repository for Vispy

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.