llama.cpp VS Grapple
Compare llama.cpp VS Grapple and see what are their differences
Generate professional standard operating procedures in minutes. AI-powered SOP creation built on 10,000+ industry procedures.
sponsored
llama.cpp
LM Studio
Ollama
Ava PLS
Hugging Face
opencode
Lemonade Server
Podman
Grapple
Looker
Tableau
Microsoft Power BI
Datakit.page
Grafana
Google Data Studio
WireBoard.io
llama.cpp GrappleGrapple's answer:
Grapple is built for small to medium-sized companies who haven't successfully implemented traditional BI software like Looker, Power BI, Tableau, or other solutions like DataRails and Domo. Traditional BI software requires a lot of technical knowledge to setup, maintain, and they often make it really difficult for less technical users to customize. This means your dashboards either 1) don't work, or 2) aren't flexible and easy to use enough to let operators adjust them as they need during the course of businesses.
Grapple is designed from the beginning for non-technical operators across marketing, sales, and finance.
Grapple's answer:
Grapple is great for data savvy operators who love working with data. We're particularly helpful for companies with 25 to 500 employees who serve other businesses (B2B) and are focused on improving their CRM analytics and SaaS metrics. If you're using apps like Salesforce, Hubspot, Zendesk, Stripe, or Asana, Grapple is for you!
If you want to write data notebooks in python or SQL and want under-the-hood control of your data stack, Grapple is not for you. We recommend you try Omni or Hex.
Grapple's answer:
Jack, co-founder/CEO, had the idea for Grapple a couple years ago after spending almost a decade building in Tableau, Looker, Google Data Studio, Trevor.io, and the list goes on! Jack spent a lot of time collaborating with non-technical users in sales, marketing, bizops, finance on dashboards and after one particularly simple report that was still difficult to generate, he thought there must be a better way! Turns out, most data platforms require a ton of other tools and a ton of other people all of which are slow and expensive—delaying your time-to-insight. Jack had the idea to compress the data stack into a single tool, that maybe couldn't do everything, but would be the fastest, easiest way to pull the types of reports he pulled all the time over the last 10 years. Fast-forward to today, Andrew joined as co-founder/CTO and Grapple is now generally available and includes a suite of AI features to take Grapple's speed and ease of use even further. Let us know what you think!
Grapple's answer:
Grapple is a fully vertically integrated data platform and does not require any additional tooling. Unlike competitors Looker and PowerBI, Grapple includes everything you need to get started. Frustrated by your slow data team? Get started with Grapple right away.
In nerd speak, Grapple seamlessly bundles the following tools, you won't even need to manage them: - An ETL and data warehouse for centralizing your data - Automatic data modeling so your data is queryable right away - Visualization and analytics UI
And on top of all that, Grapple provides modern functionality too: - Unlimited Viewers: share your dashboards with as many users as you want, just like a Google Docs - AI/Natural Language: customize your dashboard with natural language instead of SQL or spreadsheet formulas - Straightforward pricing: pay as you go with monthly per user pricing
Grapple's answer:
Grapple's application layer is written in React + Laravel and under the hood uses a mixture of PostgreSQL and No-SQL to deliver data warehousing and analytics capabilities.
Based on our record, llama.cpp seems to be more popular. It has been mentiond 18 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It's from https://github.com/ggml-org/llama.cpp -- not associated with Meta, it's been around for years, and surely they know about it -- so I would guess either it's not a trademark violation or they don't care. - Source: Hacker News / 21 days ago
Anything that suggests curl into bash just plain sketches me out. Git clone llama.cpp and build it, it's not hard. https://github.com/ggml-org/llama.cpp/blob/master/docs/build.md literally just a few steps for the basics: git clone https://github.com/ggml-org/llama.cpp cmake -B build cmake --build build --config Release. - Source: Hacker News / 21 days ago
I was a bit suspicious of the url but it is also listed on llama.cpp github https://github.com/ggml-org/llama.cpp. - Source: Hacker News / 21 days ago
TurboFieldfare proves the idea beautifully, but it is a bespoke runtime: two supported models, Apple platforms only, custom kernels for everything. I wanted the same idea for the other cheap 8 GB machine on my desk, a Jetson Orin Nano, and I wanted it for any MoE model I could quantize. So instead of porting the runtime, I grafted the idea into llama.cpp, which already runs on the Jetson and already has... - Source: dev.to / about 1 month ago
Llama.cpp is a flexible runtime for GGUF models across CPU, CUDA, Metal, and other backends. - Source: dev.to / about 1 month ago
LM Studio - Discover, download, and run local LLMs
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Ollama - The easiest way to run large language models locally
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Ava PLS - Desktop app for running LLMs locally
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile