RepoAlerts
SponsorGet alerts

yhonaach/MountVega

Library

Get alerts like thisView on GitHubShare on X

Can I trust it?

Worth a closer look before you use it.

  • Warnings Check

    Very new: it was created 11 days ago. Wait a little before installing it.

  • Stars from real accounts No data

    We haven't checked its stars for fakes yet.

  • Active OK

    Last change 10 days ago.

  • Licence OK

    MIT: you can use it for free, also in a commercial product. Keep the licence notice.

Quick checks from public data. They help, but they are no guarantee.

What it is

A big-data geo-processing engine for scalable aggregation and analysis of geospatial data, with auto-scaling and a distributed architecture. The README is thin and mostly generic; it does not describe concrete APIs.

Who it's for

Developers who need to aggregate and analyse large geospatial datasets across distributed infrastructure

How to use it

Install

pip install -r requirements.txt

From its README. Check it there before running it.

Ask your AI to set it up

Paste this into Claude, ChatGPT or your coding assistant.

Help me install and set up yhonaach/MountVega in my project. Follow its README: https://github.com/yhonaach/MountVega. Explain each step and check it is safe before running anything.

Star curve

58From 0 to 58 stars between 17 Oct 2026 and 28 Oct 2026.

Get alerts for repos like this

We'll email you when something in Models & inference starts rising. Free, once a week, only what matches.

21,780 GitHub repos watched and ranked every hour. Figures as of 28 October 2026.

What arrives: one email on Mondays with the repos that match, never more. See last week's. Privacy

For maintainers

Add this badge to your README. It shows the repo's place on the radar, updates every hour and links back to this page.

[![yhonaach/MountVega on RepoAlerts](https://repoalerts.com/badge/yhonaach/MountVega.svg)](https://repoalerts.com/repo/yhonaach/MountVega?ref=badge)
Share on X
  • yhonaach/VertexDraco

    A computing engine described as geo-parallel, for automated model deployment and real-time data processing pipelines. The README is generic and gives no concrete API, architecture or usage details bey

    LibraryDev infrastructureJavaScript · 60 stars · +56 this week · 11 days old

  • Fryankarangora/SummitOrion

    A TypeScript project described as a cloud-based, distributed platform for real-time data processing and an auto-scaling data management engine. The README is generic and gives no concrete architecture

    LibraryDev infrastructureTypeScript · 57 stars · +54 this week · 11 days old

  • yhonaach/MiddleMakara

    Platform for real-time data processing using stream-processing and distributed-computing techniques, described as aimed at scalable, processor-intensive applications. The README is brief and documents

    JavaScript · 57 stars · +54 this week · 11 days old

  • yhonaach/ModeFafnir

    A TypeScript data processing engine described as built for real-time analytics, using multi-core processing and auto-scaling. The README is generic and repeats the description without concrete APIs or

    LibraryTypeScript · 58 stars · +54 this week · 11 days old

  • opengeos/RustGIS

    A GIS application written in pure Rust for mapping, analysing and sharing geospatial data. It runs natively on Windows, macOS and Linux and in the browser via WebAssembly. It reads and writes many vec

    Apps & desktopRust · 2,090 stars · +339 this week · 17 days old

  • yhonaach/BaselineAnunnaki

    A JavaScript real-time data processing engine described as having an auto-scaling architecture and an adaptive manager. The README is generic and does not detail the processing pipeline, scaling mecha

    LibraryDev infrastructureJavaScript · 58 stars · +54 this week · 11 days old