How fast is Python?

• Numba

  124 9,452 9.9 Python

  NumPy aware dynamic Python compiler using LLVM

  

Fairly slow because it's interpreted and there's no compiler optimizations at all. If you're doing a lot of numerical calculations you can get C-like speeds if you write those parts in numpy. You can also JIT compile specific functions with numba, or the whole program with pypy.

• FrameworkBenchmarks

  366 7,391 9.8 Java

  Source for the TechEmpower Framework Benchmarks project

  

If you want more extensive benchmarks check these: https://www.techempower.com/benchmarks/#section=data-r20&hw=cl&test=fortune

• InfluxDB

  www.influxdata.com featured

  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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