1.apache / superset
Apache Superset is a Data Visualization and Data Exploration Platform
- superset
- apache
- apache-superset
- data-visualization
- data-viz
- analytics
- +12 more
Ranked by Attention Score: stars gained over the last 180 complete days
74 repositories by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)
Apache Superset is a Data Visualization and Data Exploration Platform
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
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.
An orchestration platform for the development, production, and observation of data assets.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
Python SQL Parser and Transpiler
The Data Engineering Cookbook
Always know what to expect from your data.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Turns Data and AI algorithms into production-ready web applications in no time.
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
The Open Source Feature Store for AI/ML
🌊 Online machine learning in Python
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
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.
the portable Python dataframe library
Lightweight and extensible compatibility layer between dataframe libraries!
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
☁️ Build multimodal AI applications with cloud-native stack
Real-time monitor and web admin for Celery distributed task queue
Python Stream Processing
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
📚 Parameterize, execute, and analyze notebooks
Event-driven networking engine written in Python.
GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.
CLI task management & automation tool
Messaging library for Python.
A library for event sourcing in Python.
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Python Streaming DataFrames for Kafka
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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).
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Karapace - Your Apache Kafka® essentials in one tool
Utils for streaming large files (S3, HDFS, gzip, bz2...)
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Python Stream Processing. A Faust fork
Clean APIs for data cleaning. Python implementation of R package Janitor
Compare tables within or across databases
Elyra extends JupyterLab with an AI centric approach.
The idiomatic asyncio MQTT client
Python Stream Processing
PySpark test helper methods with beautiful error messages
Reverse ETL for the code-first data stack
WebSocket and WAMP in Python for Twisted and asyncio
Koalas: pandas API on Apache Spark
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
MLBox is a powerful Automated Machine Learning python library.
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Jupyter magics and kernels for working with remote Spark clusters
ENIGMA HALFpipe is a user-friendly software that facilitates reproducible analysis of fMRI data
Streaming reactive and dataflow graphs in Python
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Crossbar.io - WAMP application router
Declarative data quality engine. Define checks in YAML, run anywhere.
pyspark methods to enhance developer productivity 📣 👯 🎉
AthenaCLI is a CLI tool for AWS Athena service that can do auto-completion and syntax highlighting.
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.
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
PySpark + Scikit-learn = Sparkit-learn
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Blazingly fast data comparison tool for Python, powered by Rust. Compare massive CSV/Parquet datasets instantly.
Data ingestion engine — Singer taps to Parquet in cloud buckets
Distributed Deep learning with Keras & Spark
BeanQueue, a lightweight Python task queue framework based on SQLAlchemy, PostgreSQL SKIP LOCKED queries and NOTIFY / LISTEN statements.