Is the statement true, that Python and its ecosystem lacks speed for mission-critical large-scale applications?

This page summarizes the projects mentioned and recommended in the original post on /r/Python

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  • PyO3

    Rust bindings for the Python interpreter

  • Why not both? Rust bindings for the Python interpreter

  • gopy

    gopy generates a CPython extension module from a go package.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • static-ffmpeg

    Discontinued Installs FFMPEG On Win32/Ubuntu/MacOS [Moved to: https://github.com/zackees/static_ffmpeg] (by zackees)

  • Or the easiest method is to just create a binary that performs your CPU intensive action then call it with Python's subprocess.check_output(cmd, ...) and then evaluate the results. For example, I do this with https://github.com/zackees/static-ffmpeg. Python is used to gather the user arguments then simply delegates the processing to ffmpeg.

  • MicroPython

    MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems

  • As the cost of more powerful micro-controllers continues to drop, the time and cost savings that comes with working in higher-level languages is starting to outweigh the cost of using cheaper/less-powerful micro-controllers. There are already options such as micropython and circuitpython for using Python on micro-controllers, but they're not in wide commercial use as of yet (as far as I'm aware).

  • circuitpython

    CircuitPython - a Python implementation for teaching coding with microcontrollers

  • As the cost of more powerful micro-controllers continues to drop, the time and cost savings that comes with working in higher-level languages is starting to outweigh the cost of using cheaper/less-powerful micro-controllers. There are already options such as micropython and circuitpython for using Python on micro-controllers, but they're not in wide commercial use as of yet (as far as I'm aware).

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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