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

Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io
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InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com
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  1. PyO3

    Rust bindings for the Python interpreter

    Why not both? Rust bindings for the Python interpreter

  2. Stream

    Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.

    Stream logo
  3. gopy

    gopy generates a CPython extension module from a go package.

  4. 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.

  5. 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).

  6. 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).

  7. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
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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Did you know that C is
the 6th most popular programming language
based on number of references?