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Alternatives

Products that do what I integrated Ollama into Excel to run local LLMs does

I built an Excel add-in that connects to Ollama, so you can run local LLMs like Llama3 directly inside Excel. I call it XLlama. You can use it like a regular formula: =XLlamaPrompt("Is Excel a database") or run it on an entire range. No API calls. No cloud. No subscriptions. Everything runs locally. It’s useful for quick tasks like extracting names, emails, or phone numbers from text, or for doing light data analysis without leaving Excel. Would love feedback, especially from people who use Excel daily.

  1. 1
    Ollama235

    The easiest way to run large language models locally

    2023

  2. 2

    The easiest way to chat with local AI

    2025

  3. 3

    Massive local model speedup on Apple Silicon with MLX

    Apr 2026

  4. 4OS

    2025 · rlama.dev

  5. 5
    ModelHub318

    The missing menu bar app for local LLMs on Mac.

    May 2026 · studio.consciousengines.com

  6. 6
    Ollamac205

    A macOS app for interacting with the Ollama models

    2023

  7. 7
    ManyExcel197

    Convert your text into spreadsheet formulas with AI

    2024

  8. 8

    Run leading vision models locally with the new engine

    2025

  9. 9TO
  10. 10OS

    This started off as a project to understand how to get LLMs to interface with more traditional desktop softwares. We were especially interested in tools related to schematic drafting and molecular simulation. Decided to explore COM automation for more traditional Windows softwares as a starting point! Been using it to help some friends automate simple excel workflows. Thought we'd share!

    2025 · github.com

  11. 11CO

    Hey HN, Henry and Roman here - we've been building a cross-platform framework for deploying LLMs, VLMs, Embedding Models and TTS models locally on smartphones. Ollama enables deploying LLMs models locally on laptops and edge severs, Cactus enables deploying on phones. Deploying directly on phones facilitates building AI apps and agents capable of phone use without breaking privacy, supports real-time inference with no latency, we have seen personalised RAG pipelines for users and more. Apple and Google actively went into local AI models recently with the launch of Apple Foundation Frameworks…

    2025 · github.com

  12. 12FC

    Just to clarify the background a bit. This project wasn’t planned as a big standalone release at first. On January 16, Ollama added support for an Anthropic-compatible API, and I was curious how far this could be pushed in practice. I decided to try plugging local Ollama models directly into a Claude Code-style workflow and see if it would actually work end to end. Here is the release note from Ollama that made this possible: https://ollama.com/blog/claude Technically, what I do is pretty straightforward: - Detect which local models are available in Ollama. - When…

    Jan 2026 · github.com

  13. 13CG

    I built CSV GB+ by Data.olllo, a local data tool that lets you open, clean, and export gigabyte-sized CSVs (even billions of rows) without writing code. Most spreadsheet apps choke on big files. Coding in pandas or Polars works—but not everyone wants to write scripts just to filter or merge CSVs. CSV GB+ gives you a fast, point-and-click interface built on dual backends (memory-optimized or disk-backed) so you can process huge datasets offline. Key Features: Handles massive CSVs with ease — merge, split, dedup, filter, batch export Smart engine switch: disk-based "V Core" or RAM-based "P…

    2025 · apps.microsoft.com

  14. 14AT

    I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…

    2025 · llmapitest.com

  15. 15CL

    I built an open source web app that generates cover letters using local AI models (Ollama, LM Studio, vLLM, etc.) so your resume and job application data never leaves your machine. No placeholders. No typing. Letters are ready to copy and paste. The workflow is: 1. Upload your resume (PDF) - it gets parsed and cached in your browser. 2. Paste the job description 3. Get a personalized cover letter in ~5 seconds It connects to any OpenAI-compatible local LLM endpoint. I use it with Ollama + llama3.2, but it works with any local model server. Key features: - 100% local and private depending on…

    Dec 2025 · github.com

  16. 16
    RLAMA138

    Open-Source RAG CLI for Ollama

    2025

  17. 17

    A spreadsheet engine optimized for AI and automation

    2025

  18. 18IB

    hey hn, I built an open-source Perplexity clone that can run local LLMs and cloud LLMs. It's fully self-hostable through Docker and uses ollama to support local LLMs. The demo video in the repository shows me running it locally with llama3 on my M1 Macbook Pro. I'm open to any suggestions or feedback, thanks!

    2024 · github.com

  19. 19LL

    What it is A single 45 MB Windows .exe that embeds llama.cpp and a minimal Tk UI. Copy it (plus any .gguf model) to a flash drive, double-click on any Windows PC, and you’re chatting with an LLM—no admin rights, Cloud, or network. Why I built it Existing “local LLM” GUIs assume you can pip install, pass long CLI flags, or download GBs of extras. I wanted something my less-technical colleagues could run during a client visit by literally plugging in a USB drive. How it works PyInstaller one-file build → bundles Python runtime, llama_cpp_python, and the UI into a single PE. On first launch, it…

    2025 · github.com

  20. 20OA

    Hi HN, I'm excited to introduce OllaMan, a desktop application designed to streamline your workflow with Ollama local AI models. If you're already using Ollama, you've likely experienced its power in running large language models (LLMs) locally. However, managing models, switching between them, and engaging in conversations often requires frequent command-line interaction, which can be inefficient and less intuitive for many users. OllaMan aims to solve these pain points by providing an intuitive and elegant graphical user interface (GUI), especially tailored for macOS users, adhering to…

    Sep 2025 · ollaman.com

  21. 21

    Run local LLMs faster and smoother on your device

    May 2026

  22. 22IB

    I got tired of the overhead required to run even a simple data analysis - cloud setup, ETL pipelines, orchestration, cost monitoring - so I built a fully local data-stack/IDE where I can write SQL/Py, run it, see results, and iterate quickly and interactively. You get data lake like catalog, zero-ETL, lineage, versioning, and analytics running entirely on your machine. You can import from a database, webpage, CSV, etc. and query in natural language or do your own work in SQL/Pyspark. Connect to local models like Gemma or cloud LLMs like Claude for querying and analysis. You…

    Apr 2026 · stream-sock-3f5.notion.site

  23. 23PU

    After seeing a cool demo of a hack on Twitter, I built a cross platform version of it that works well and uses streaming. From anywhere on Mac and Linux, trigger Ollama and optionally feed it your clipboard. I built it yesterday and it's already very useful to me. I'm pretty excited about it and wanted to share!

    2024 · github.com

  24. 24

    Run a SaaS sprint without Jira, in one spreadsheet

    Jul 2026 · shorturl.at

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