1.apache / superset
Apache Superset is a Data Visualization and Data Exploration Platform
+424 stars
from 74,963 · score 6.05
Trending repositories
Ranked by Attention Score: stars gained over the last 30 complete days
22 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)
2.apache / airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
+346 stars
from 46,997 · score 5.85
3.PrefectHQ / prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
+167 stars
from 23,938 · score 5.12
4.airbytehq / airbyte
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
+150 stars
from 22,145 · score 5.02
5.dagster-io / dagster
An orchestration platform for the development, production, and observation of data assets.
+144 stars
from 16,217 · score 4.98
6.dlt-hub / dlt
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
+125 stars
from 5,920 · score 4.84
7.andkret / Cookbook
The Data Engineering Cookbook
+76 stars
from 15,448 · score 4.34
8.fivetran / great_expectations
Always know what to expect from your data.
+68 stars
from 11,844 · score 4.23
9.feast-dev / feast
The Open Source Feature Store for AI/ML
+41 stars
from 7,311 · score 3.74
10.Avaiga / taipy
Turns Data and AI algorithms into production-ready web applications in no time.
+37 stars
from 19,416 · score 3.64
11.xonsh / xonsh
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
+37 stars
from 9,647 · score 3.64
12.meltano / meltano
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
+29 stars
from 2,645 · score 3.40
13.bytewax / bytewax
Python Stream Processing
+17 stars
from 2,053 · score 2.89
14.quixio / quix-streams
Python Streaming DataFrames for Kafka
+8 stars
from 1,575 · score 2.20
15.aws / aws-sdk-pandas
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
+3 stars
from 4,119 · score 1.39
16.ploomber / ploomberArchived
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
+3 stars
from 3,618 · score 1.39
17.pyjanitor-devs / pyjanitor
Clean APIs for data cleaning. Python implementation of R package Janitor
+3 stars
from 1,495 · score 1.39
18.datafold / data-diffArchived
Compare tables within or across databases
+2 stars
from 2,988 · score 1.10
19.drt-hub / drt
Reverse ETL for the code-first data stack
+2 stars
from 34 · score 1.10
20.eventum-generator / eventum
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
+1 stars
from 70 · score 0.69
21.rbmuller / scherlok
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
+1 stars
from 11 · score 0.69
22.dataspoclab / dataspoc-pipe
Data ingestion engine — Singer taps to Parquet in cloud buckets
+1 stars
from 3 · score 0.69