Is Go overkill for these kind of tasks, or are these tasks a good reason to move away from Python?

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

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.
www.influxdata.com
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SaaSHub helps you find the best software and product alternatives
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  • Poetry

    Python packaging and dependency management made easy

  • Regarding Python's dependency management and virtual env, yeah it sucks. But to solve those issues look into Poetry (https://python-poetry.org/). I got introduced to it at my last org and it is a must have for any Python project for me now. Makes the dependency management in Python so much better.

  • deno

    A modern runtime for JavaScript and TypeScript.

  • Now I don't want to scare anyone here, but have you tried TypeScript? I have my own note-taking solution with a bunch of personal scripts and I write them all in TS on Deno runtime. It's nice because installing it is super easy, unlike Node.js, it borrows a lot of ideas from Go and is super secure, so you can ensure your installed packages don't do unexpected things and it supports TypeScript natively.

  • 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.

    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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