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Alternatives

Products that do what Genomirates Genomic Data Platform - UAE does

The GCC's first B2B genomic analysis platform for Arab world

  1. 1

    Unified Analytics Platform for Genomics

    Sep 2025

  2. 2
    Seed-DB174

    A database of seed accelerators and their companies.

    2014

  3. 3

    API-based platform to build ideal data-file import solutions

    2023

  4. 4

    DNA app store to unlock more from your 23andMe/Ancestry data

    2021

  5. 5FS
  6. 6

    Now GA: the ducking simple analytics data warehouse

    2024

  7. 7
    Evo 2225

    A foundation model for genomic understanding

    2025

  8. 8HO

    Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…

    2025 · github.com

  9. 9
    Xmysql145

    🚀 One command to generate REST APIs for any MySql Database.

    2018

  10. 10

    The fastest way to run databases in AWS or GCP

    2025

  11. 11OO

    Hi! One of the creators here. Very proud to finally be able to show you what we've been working on for over a year now. Curious to hear your thoughts! Objectiv is open-source (APLv2) product analytics infrastructure. It's built around a generic but strict event taxonomy, open/common data- and infra tools (currently PG, snowplow, working on bigquery with more to come), and the analyses are done using our pandas-like, SQL speaking modeling library called Bach. As a result, we’re moving towards a vision wherein models can be shared openly, independent of product, platform[1] or data…

    2022 · objectiv.io

  12. 12
    HelixDB105

    An open-source OLTP graph-vector database built in Rust.

    Feb 2026 · helix-db.com

  13. 13SA

    We’ve built Synergetica, an open-source desktop app for end-to-end genetic circuit design. It supports node-based or code-based editing, interactive simulations, and automated DNA sequence generation. You can find the repo and docs here: - GitHub: https://github.com/khokao/synergetica - Docs: https://khokao.github.io/synergetica/

    2025 · github.com

  14. 14XI
  15. 15SB

    I had already posted the project a couple of years ago, and it gained some interest, but a lot of stuff has been done since then, especially regarding performance, a completely new JSON store, a REST API, various internals refactored, an improved JSONiq based query engine allowing updates, implementing set-oriented join optimizations, a now already dated web UI, a new Kotlin based CLI, a Python and TypeScript client to ease the use of Sirix... First prototypes from a precursor stem already from 2005. So, what is it all about? The system uses ideas from ZFS (a keyed index trie, storing…

    2023 · github.com

  16. 16OS
  17. 17GO

    I'm a Type 1 diabetic and software engineer. Last year I went months between endocrinologists with no clinician reviewing my data. I'm an engineer, so I built the tool I needed — and now I'm open sourcing it. GlycemicGPT is a self-hosted platform that connects continuous glucose monitors, insulin pumps, and existing Nightscout instances to an AI analysis layer running on your own infrastructure. Data sources: Dexcom G7 (cloud API) Tandem t:slim X2 and Mobi pumps (direct BLE) Nightscout (point it at your existing instance and you're running in minutes) What the AI layer does: Daily briefs…

    May 2026 · github.com

  18. 18GA

    I made a web game inspired by Geoguessr and Wordle, where you get shown a 3D model of a random human protein each day, and you have to triangulate its gene name using similarity clues. My background is in wet lab molecular biology and I intend this game to be engaging mostly to other biologists. But if you're outside the field, I'm interested to know if you can still solve it with browser use LLMs, and if you learned something interesting doing so. Let me know what you think. I made it with Claude over the last 2 months. My coding experience is limited to basic python data analysis and…

    Dec 2025 · geneguessr.brinedew.bio

  19. 19SO

    Hello HN! My name is Paras and I am building this project called Slashbase. It's an open-source collaborative IDE for databases in browser. Connect to your database, browse data, run a bunch of queries or share queries within your team, right from your browser. Works with two types of databases: PostgreSQL and MongoDB. It's written in Golang and Nextjs React Framework and runs as a single binary. Features: - Cloud based: Setup on your server. Works in browser. - Easy to use: with minimal interface it is simple to use. - Collaborative: Works with your teams. Easy sharing queries within team.…

    2022 · github.com

  20. 20

    Contribute to medical breakthroughs and get rewarded

    2018

  21. 21

    genomics, variant-analysis, AlphaGenome, bioinformatics, AI

    May 2026 · variantiq.org

  22. 22WS

    Hello fellow hackers! I'm excited to share the launch of WhoDB by Clidey. We are hoping to redefine the user experience with database management. Going away from the LLMs hype, we really just want to make developers' lives better! WhoDB is written in Golang, is lightweight, and supports a variety of database backends (PostgreSQL, MySQL, SQLite3, MongoDB, & Redis). WhoDB offers: * Better UX: Intuitive and easy-to-use interface. * Faster Performance: Built with GoLang for exceptional speed and table virtualization in the Frontend. * Schema Visualization: Interactive graphs to visualize your…

    2024 · github.com

  23. 23WB
  24. 24IM

    My cofounder and I run a startup in oncology, where we handle cancer genomics data. It occurred to me that, thanks to a recent complexity theory result, there's a clever way to run bioinformatics algorithms using far less RAM. I built this Rust engine for running whole-genome workloads in under 100MB of RAM. Runtime is a little longer as a result - O(TlogT) instead of O(T). But it should enable whole-genome analytics on consumer-grade hardware.

    Nov 2025 · github.com

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