Open-source Tellius alternatives

DB-GPT is an open-source AI data assistant for the next generation of products that combine AI and data. It connects to databases, CSV and Excel files, data warehouses and knowledge bases, then lets people ask questions in natural language while the AI writes SQL and code to answer them.

Beyond question answering, it supports agentic data analysis: planning a task, breaking it into steps, calling tools and finishing the analysis end to end. It can run Python and code-driven workflows, load reusable skills for domain-specific tasks, and generate charts, dashboards, HTML reports and summaries. Tasks run in sandboxed environments for safety. Beyond the assistant, it serves as a platform for building AI-native data agents and applications with its AWEL workflow language, retrieval-augmented generation and multi-model support, with topics naming models such as DeepSeek and Vicuna.

It is written in Python and licensed under MIT, with documentation, a community and a research paper. Privacy and security are highlighted in the topics, and it can run on your own infrastructure with local models. It suits data teams that want natural-language access to databases while keeping data in-house.

nao is an open-source framework for building an analytics agent and deploying it as a chat interface. Data teams assemble the agent's context with the nao-core command-line tool, then give business users a UI where they can ask questions in natural language and receive analysis, charts and the reasoning behind each answer.

On the data team side, the context builder works like a file system and can include data, metadata, documentation, tools and MCP servers. The framework is described as stack-agnostic, with topics pointing to BigQuery, Snowflake, Databricks and PostgreSQL. Teams can unit test the agent's performance before release, version the context, track usage and collect feedback from users who mark answers right or wrong.

nao is written in TypeScript and is designed to be self-hosted with your own LLM keys, which keeps data under your control. A Slack connection is available as an option during setup. It suits data and analytics engineering teams who want a governed text-to-SQL assistant for the rest of the company rather than ad hoc prompts.