Hugging Face
OpenAI
LangChain
Gemini
Civitai
Eden AI
Ollama
PyTorch
Genloop
Microsoft Power BI
Tableau
ThoughtSpot
Domo
Looker
Qlik
QlikSense
Genloop is an agentic data intelligence platform that gives every person and AI agent in a company verified, accurate answers from their own data, without copying it anywhere.
Most BI tools stop at a dashboard. When a question isn't already answered there, someone has to find an analyst and wait. Genloop closes that gap: teams ask questions in plain English and get answers backed by visible logic, the same way every time.
At the centre is the Living Context Graph, a working model of an organisation's metrics, relationships, and business rules. It lets Genloop reason correctly across multiple databases and apps, not just a single table.
On Spider 2.0-Snow, the hardest public benchmark for enterprise text-to-SQL reasoning, Genloop ranks first at 96.70%, ahead of major cloud and enterprise vendors.
Genloop reads data directly from its source, with no ETL and no copies, so setup takes minutes. It is SOC2 Type II and ISO 27001 certified, with a free tier and no credit card required.
Genloop is built for data teams tired of being the bottleneck, and for the humans and AI agents around them who just want a straight, correct answer.
Hugging Face GenloopGenloop's answer:
Genloop's Living Context Graph continuously builds a working model of an organisation's metrics, relationships, and business rules, so answers stay accurate across multiple data sources instead of just one connected warehouse.
It reasons and joins data live, in place, with no ETL and no copies, and every answer is deterministic and traceable: ask the same question twice and get the same verified result.
On Spider 2.0-Snow, the hardest public benchmark for enterprise text-to-SQL reasoning, Genloop ranks first at 96.70%, ahead of major cloud and enterprise vendors.
Genloop's answer:
Most alternatives are either a single-warehouse copilot (Snowflake Cortex, Databricks Genie) or a BI tool with AI bolted on top (Power BI Copilot, Tableau Pulse).
Genloop is ecosystem-neutral: it reasons across multiple warehouses and business apps at once instead of one, and treats accuracy as the deciding metric rather than an add-on, since a wrong number costs more than the dashboard it replaced.
Teams get that accuracy without a migration project, because Genloop reads data directly from the source.
Genloop's answer:
Enterprise data leaders and practitioners: heads of data and analytics, analytics engineers, and data product managers, along with the finance, sales, product, and operations teams they support, in organisations where a wrong number carries real cost.
Based on our record, Hugging Face seems to be more popular. It has been mentiond 326 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.
Hugging Face hosts thousands of open models for NLP, vision, and other tasks. The Inference API (via Inference Providers) lets you call those models over HTTP. The @huggingface/inference package from huggingface.js is the Node.js client. - Source: dev.to / about 1 month ago
Right now, I don't. If model foo is deleted from HuggingFace but its compare rows are still in the DB, those compare pages will still be served at build time. They'll have the old data until the model's row in models.json is removed โ which only happens if the model falls out of the top-500 in the nightly fetch. It's a known gap. For now, the risk is low; popular models don't disappear. A more robust system would... - Source: dev.to / about 2 months ago
Apify turned out to be an excellent platform for building multi-agent systems(MAS). It allows seamless integration with modern agentic frameworks like LangGraph, CrewAI, TogetherAI, and Hugging Face. - Source: dev.to / about 2 months ago
The garage is not the network. ComfyUI is a workbench. It does not describe how a workflow assembled in it travels to another workbench, what license attaches to the intermediate frames, or who in a multi-tool pipeline counts as the author of the result. Hugging Face is the closest thing the field has to a shared hub for models and datasets, and is a remarkable piece of community infrastructure, and is also a... - Source: dev.to / 2 months ago
All numbers below are reproducible from public APIs and public repository files: citation metadata, GitHub Code Search, the Hugging Face Hub, and root-level packaging files (requirements.txt, pyproject.toml, etc.) in each OSS repo. The org-scoped grep is org: "import albumentations". - Source: dev.to / 3 months ago
OpenAI - GPT-3 access without the wait
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
LangChain - Framework for building applications with LLMs through composability
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.
Gemini - Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model (LLM) of the same name, it was launched in 2023 in response to the rise of OpenAI's ChatGPT.
ThoughtSpot - ThoughSpot is a search-driven analytics platform that allows you to track your company's metrics without the need to hire a professional analyst.