---
id: cassio
version: "0.1.10"
license: Apache-2.0
license_treatment: permissive
maintenance: aging
---

# cassio — A framework-agnostic Python library to seamlessly integrate Apache Cassandra(R) with ML/LLM/genAI workloads.

License: permissive · Maintenance: aging · Downloads: 353.2K/mo

## What it is and what it does

cassIO is a Python library that bridges Apache Cassandra and AI/LLM workloads, letting you store and query data for machine learning and generative AI applications using Cassandra as the backend. It's designed to be framework-agnostic, meaning it works alongside existing LLM frameworks like LangChain rather than replacing them. The library depends on cassandra-driver for database connectivity, requests for HTTP operations, and numpy for numerical operations.

The package is currently at version 0.1.10 and classified as Production/Stable despite being labeled an alpha release in its documentation. It supports Python 3.9 through 3.12 and requires a live Cassandra cluster (version 5+) or Astra DB instance. Development is active but infrequent—the last release was over 680 days ago, though the repository shows recent commits. Breaking changes are possible given the 0.* versioning.

Use it for:

- Store embeddings and vectors in Cassandra for retrieval-augmented generation (RAG) pipelines with LLMs
- Build LangChain applications backed by Cassandra for persistent, scalable AI data storage
- Integrate machine learning feature stores with Cassandra for training and inference workflows
- Query and manage structured data alongside AI models in a single Cassandra cluster

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

cassIO integrates Apache Cassandra with machine learning and LLM workloads, providing a Python library to connect Cassandra databases to AI/genAI applications.

Yes, if you are already committed to Cassandra or Astra DB and need to integrate it with LLM/ML workloads. The permissive Apache license, low install friction, and active repository support the choice. However, be aware of the aging maintenance cadence (680 days since last release) and the possibility of breaking changes in the 0.* series. Not recommended if you need a stable, frequently-updated vector database abstraction—consider alternatives if stability and rapid feature iteration are priorities.

## Install

pip install cassio
uv add cassio
poetry add cassio

## Installing cassio

Before you install: Low install friction with pure-Python wheels. Maintenance status is aging—680 days since last release, though the repository remains active with recent commits. Expect occasional breaking changes given the 0.* version.

License in practice: Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions, making it suitable for most production and proprietary projects.

Quickstart:

pip install cassio

import cassio
# Requires cassandra-driver, requests, numpy as runtime dependencies
# See cassio.org for integration examples with LangChain and other frameworks

Requires Python 3.9 or later. Requires a running Apache Cassandra cluster (5+) or Astra DB instance to connect to.

Verify before relying:

- Whether the alpha-stage designation in the description reflects current stability despite the Production/Stable classifier
- Performance characteristics and scalability limits for typical ML/LLM workloads
- Completeness of vector search and embedding storage capabilities relative to specialized vector databases

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: aging
- Downloads: 353.2K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

cassandra llm integration, cassandra vector database, cassandra machine learning, cassandra genai framework, cassandra ai workloads, cassandra-integration, vector-storage, llm-framework

[View on SkillFed](https://skillfed.io/packages/cassio) · [View on PyPI](https://pypi.org/project/cassio/)