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

1. PyO3

   1 158 13,959 9.6 Rust

   Rust bindings for the Python interpreter

   

   Why not both? Rust bindings for the Python interpreter

2. Stream

   getstream.io featured

   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.

   

3. gopy

   2 5 2,197 6.0 Go

   gopy generates a CPython extension module from a go package.

   

4. static-ffmpeg

   3 2 39 10.0 Python

   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

   4 211 20,584 9.9 C

   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

   5 94 4,304 0.0 C

   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

   www.influxdata.com featured

   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.

   

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