[PR #273] [CLOSED] add hastic #949

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opened 2025-11-19 21:04:07 -06:00 by GiteaMirror · 0 comments
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📋 Pull Request Information

Original PR: https://github.com/awesome-foss/awesome-sysadmin/pull/273
Author: @jonyrock
Created: 6/13/2018
Status: Closed

Base: masterHead: master


📝 Commits (1)

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

Application name / category

hastic / Monitoring software

Source URL

https://github.com/hastic

why it is awesome

You need analyse your timeseries but you can`t apply machine learning algorithms to your fat
and fast awesome timeseries datasources and monitoring tools mentioned here without using not-awesome software. And you can hack analytics for your very specific case on Python.


🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/awesome-foss/awesome-sysadmin/pull/273 **Author:** [@jonyrock](https://github.com/jonyrock) **Created:** 6/13/2018 **Status:** ❌ Closed **Base:** `master` ← **Head:** `master` --- ### 📝 Commits (1) - [`7cf3d14`](https://github.com/awesome-foss/awesome-sysadmin/commit/7cf3d141b6d3b438135ff38b4ce0606a6bf5e872) add hastic ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ### Application name / category [hastic](https://hastic.io) / Monitoring software ### Source URL https://github.com/hastic ### why it is awesome You need analyse your timeseries but you can`t apply machine learning algorithms to your fat and fast awesome timeseries datasources and monitoring tools mentioned here without using not-awesome software. And you can hack analytics for your very specific case on Python. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
GiteaMirror added the pull-request label 2025-11-19 21:04:07 -06:00
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Reference: github-starred/awesome-sysadmin#949