StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Business Intelligence
  4. Business Intelligence
  5. Agent Tools & Skills Infrastructure for LLMs vs Welcome to Baselight Assistant

Agent Tools & Skills Infrastructure for LLMs vs Welcome to Baselight Assistant

OverviewComparisonAlternatives

Overview

Welcome to Baselight Assistant
Welcome to Baselight Assistant
Stacks0
Followers1
Votes1
Agent Tools & Skills Infrastructure for LLMs
Agent Tools & Skills Infrastructure for LLMs
Stacks0
Followers1
Votes1

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Welcome to Baselight Assistant
Welcome to Baselight Assistant
Agent Tools & Skills Infrastructure for LLMs
Agent Tools & Skills Infrastructure for LLMs

Baselight unlocks the power of data, combining openness, community, and AI to make high-quality structured data accessible to all.

QVeris is an AI agent infrastructure for developers, designed for MCP and Skills-based agents. It provides a unified API to discover, access, and execute 10,000+ real-world tools, APIs, and data sources—enabling LLMs and AI agents to reason, retrieve data, and take real-world actions at scale.

AI, AI agents, LLM, MCP, data, analytics, data analytics, data science, BI, structured data, public data, copilot, open data
•Tool search, Enter your search query, •Select the tool you want to view, •Tool specification, execute and view results
Statistics
Stacks
0
Stacks
0
Followers
1
Followers
1
Votes
1
Votes
1

What are some alternatives to Welcome to Baselight Assistant, Agent Tools & Skills Infrastructure for LLMs?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mashape

Mashape

Kong is a scalable, open source API Layer (also known as an API Gateway, or API Middleware). Kong controls layer 4 and 7 traffic and is extended through Plugins, which provide extra functionality and services beyond the core platform.

Pandas

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

3scale

3scale

3scale's API Management platform provides services and solutions, allowing you to Operate, Manage and Distribute your APIs. Trusted by 450+ API programs.

NumPy

NumPy

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.