1.apache / superset
Apache Superset is a Data Visualization and Data Exploration Platform
+1,460 stars
from 73,927 · score 7.29
Trending repositories
Ranked by Attention Score: stars gained over the last 90 complete days
24 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
2.apache / airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
+1,113 stars
from 46,230 · score 7.02
3.PrefectHQ / prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
+637 stars
from 23,468 · score 6.46
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.
+565 stars
from 21,730 · score 6.34
5.dagster-io / dagster
An orchestration platform for the development, production, and observation of data assets.
+481 stars
from 15,880 · score 6.18
6.dlt-hub / dlt
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
+364 stars
from 5,681 · score 5.90
7.andkret / Cookbook
The Data Engineering Cookbook
+362 stars
from 15,162 · score 5.89
8.fivetran / great_expectations
Always know what to expect from your data.
+248 stars
from 11,664 · score 5.52
9.feast-dev / feast
The Open Source Feature Store for AI/ML
+180 stars
from 7,172 · score 5.20
10.Avaiga / taipy
Turns Data and AI algorithms into production-ready web applications in no time.
+169 stars
from 19,284 · score 5.14
11.xonsh / xonsh
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
+128 stars
from 9,556 · score 4.86
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.
+98 stars
from 2,576 · score 4.60
13.bytewax / bytewax
Python Stream Processing
+37 stars
from 2,033 · score 3.64
14.eventum-generator / eventum
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
+25 stars
from 46 · score 3.26
15.quixio / quix-streams
Python Streaming DataFrames for Kafka
+19 stars
from 1,564 · score 3.00
16.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).
+14 stars
from 4,108 · score 2.71
17.datafold / data-diffArchived
Compare tables within or across databases
+11 stars
from 2,979 · score 2.48
18.pyjanitor-devs / pyjanitor
Clean APIs for data cleaning. Python implementation of R package Janitor
+11 stars
from 1,487 · score 2.48
19.drt-hub / drt
Reverse ETL for the code-first data stack
+9 stars
from 27 · score 2.30
20.ploomber / ploomberArchived
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
+6 stars
from 3,615 · score 1.95
21.rbmuller / scherlok
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
+6 stars
from 6 · score 1.95
22.godalida / koala-diff
Blazingly fast data comparison tool for Python, powered by Rust. Compare massive CSV/Parquet datasets instantly.
+2 stars
from 7 · score 1.10
23.mgillr / crdt-merge
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.
+2 stars
from 5 · score 1.10
24.dataspoclab / dataspoc-pipe
Data ingestion engine — Singer taps to Parquet in cloud buckets
+2 stars
from 2 · score 1.10