Source: https://seerepo.com/compare/apache/airflow/vs/Canner/WrenAI
Markdown source: https://seerepo.com/compare/apache/airflow/vs/Canner/WrenAI.md
Description: airflow and WrenAI share 8 technologies: pyarrow, DuckDB, Rich, sqlglot, pyjwt, cryptography, Pydantic, and boto3. airflow is written in Python and WrenAI in Rust.

# airflow vs WrenAI

airflow and WrenAI share 8 technologies: pyarrow, DuckDB, Rich, sqlglot, pyjwt, cryptography, Pydantic, and boto3. airflow is written in Python and WrenAI in Rust.

- [apache/airflow](https://seerepo.com/r/apache/airflow): Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
- [Canner/WrenAI](https://seerepo.com/r/Canner/WrenAI): GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.

## What they share and what sets them apart

- In common: pyarrow, DuckDB, Rich, sqlglot, pyjwt, cryptography, Pydantic, boto3
- Only in airflow: FastAPI, Flask, aiosqlite, azure-search-documents, azure-storage-blob, confluent-kafka, ibm-db, influxdb3-python, pgvector, presto-python-client, psycopg, psycopg2-binary, pymongo, python-arango, Redis, snowflake-sqlalchemy, weaviate-client, Celery, oracledb, pyiceberg, pinecone, pymssql, clickhouse-connect, gcloud-aio-storage, gcsfs, Neo4j, pymysql, SQLite, Google, flask-appbuilder, asgiref, AIOHTTP, uvicorn, werkzeug, a2wsgi, Apache, Vite, React, react-router-dom, flask-sqlalchemy, SQLAlchemy, alembic, azure-identity, flask-session, google-auth, pyspnego, flask-login, keyring, google-auth-httplib2, google-auth-oauthlib, azure-ai-projects, pydantic-ai-slim, cohere, nbconvert, jinja2, aiosmtplib, beautifulsoup4, icalendar, sendgrid, flask-wtf, wtforms, jsonschema, msgspec, marshmallow, azure-mgmt-containerinstance, azure-mgmt-resource, Flower, OpenTelemetry, structlog, kubernetes, psutil, kubernetes-asyncio, python-on-whales, docker, Alibaba Cloud, colorlog, org.apache.logging.log4j:log4j-api, org.apache.logging.log4j:log4j-core, org.slf4j:slf4j-api, next-themes, Chakra UI, React Hook Form, yaml
- Only in WrenAI: datafusion, object_store, opendal, Tokio, arrow, pydantic-ai, LangChain, LangGraph, lxml, csv, loguru, log, env_logger, parquet

## Side by side

| | airflow | WrenAI |
|---|---|---|
| Size | 2,200,257 lines written, 4,596 code files | 105,033 lines written, 173 code files |
| Who writes it | 0.7% of its commits signed by AI. With Claude Code, GitHub Copilot, Cursor, and Devin | 5.3% of its commits signed by AI. With Claude Code and CodeRabbit |
| Activity | Last push November 5, 2026, 41,804 commits, 47,376 stars | Last push November 6, 2026, 2,758 commits, 18,095 stars |
| Tests | 4,949 test files. 53.3% of its code files have a test that imports them | 155 test files. 46.8% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, airflow or WrenAI?

airflow, with 2,200,257 lines written; WrenAI has 105,033.

The proof: [apache/airflow's code at commit 322c178](https://github.com/apache/airflow/tree/322c178e05b6621b9577e62e66964c1f4c0b590f)

### Which has more GitHub stars, airflow or WrenAI?

airflow, with 47,376 stars; WrenAI has 18,095.

The proof: [apache/airflow on GitHub](https://github.com/apache/airflow)

### Which has more tests, airflow or WrenAI?

airflow, with 4,949 test files; WrenAI has 155.

The proof: [apache/airflow's code at commit 322c178](https://github.com/apache/airflow/tree/322c178e05b6621b9577e62e66964c1f4c0b590f)

### Which was updated more recently, airflow or WrenAI?

WrenAI: its last push was on November 6, 2026, and airflow's on November 5, 2026.

The proof: [Canner/WrenAI's commits on GitHub](https://github.com/Canner/WrenAI/commits)

### Which has more commits signed by AI, airflow or WrenAI?

WrenAI: an AI signed 5.3% of its commits, with Claude Code and CodeRabbit; in airflow, 0.7%.

The proof: [the commits each tool signed in Canner/WrenAI](https://seerepo.com/r/Canner/WrenAI/ai)

## Sources

- apache/airflow: Read on November 5, 2026, at commit 322c178 (https://github.com/apache/airflow/tree/322c178e05b6621b9577e62e66964c1f4c0b590f)
- Canner/WrenAI: Read on November 6, 2026, at commit 548eee3 (https://github.com/Canner/WrenAI/tree/548eee3e864b11e7f11eee15ae82be178a295f22)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.