1.stepll2026 / OntiCards
OntiCards 是面向企业的 AI 数据中枢(AI Data Hub),围绕业务数据库提供一站式能力:数据源连接、元数据理解、自然语言查询、跨源融合、数据质检、查询审计与数据资产管理等
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65 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)
OntiCards 是面向企业的 AI 数据中枢(AI Data Hub),围绕业务数据库提供一站式能力:数据源连接、元数据理解、自然语言查询、跨源融合、数据质检、查询审计与数据资产管理等
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 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.
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.
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.
The Open Source Feature Store for AI/ML
Turns Data and AI algorithms into production-ready web applications in no time.
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
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.
🌊 Online machine learning in Python
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!
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
Python Stream Processing
📚 Parameterize, execute, and analyze notebooks
☁️ Build multimodal AI applications with cloud-native stack
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.
Event-driven networking engine written in Python.
Utils for streaming large files (S3, HDFS, gzip, bz2...)
Elyra extends JupyterLab with an AI centric approach.
Real-time monitor and web admin for Celery distributed task queue
Python Streaming DataFrames for Kafka
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
CLI task management & automation tool
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Karapace - Your Apache Kafka® essentials in one tool
Messaging library for Python.
The idiomatic asyncio MQTT client
Python Stream Processing
A library for event sourcing in Python.
PySpark test helper methods with beautiful error messages
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).
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Python Stream Processing. A Faust fork
Clean APIs for data cleaning. Python implementation of R package Janitor
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Compare tables within or across databases
pyspark methods to enhance developer productivity 📣 👯 🎉
Reverse ETL for the code-first data stack
Koalas: pandas API on Apache Spark
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Jupyter magics and kernels for working with remote Spark clusters
Streaming reactive and dataflow graphs in Python
AthenaCLI is a CLI tool for AWS Athena service that can do auto-completion and syntax highlighting.
Read and write Neuroglancer datasets programmatically.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
🎲 Dotflow turns an idea into flow! — Lightweight Python library for execution pipelines
Data ingestion engine — Singer taps to Parquet in cloud buckets