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.
- notebooks
- python
- data-science
- machine-learning
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Turns Data and AI algorithms into production-ready web applications in no time.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
- data
- data-cleaning
- data-pipelines
- data-processing
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-learning
The leader in Customer Data Infrastructure
- snowplow
- analytics
- data
- data-pipeline
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
📚 Parameterize, execute, and analyze notebooks
- jupyter
- notebooks
- notebook-generator
- nteract
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
- mlops
- machine-learning
- data-science
- production-ready
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
- cloud-native
- streaming
- rust
- real-time
AI Infra / AI Orchestration / AI Control Plane
High-performance time-series aggregation for PostgreSQL
- realtime
- stream-processing
- analytics
- sql
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
CLI task management & automation tool
- python
- build-tool
- build-automation
- task-runner
Elyra extends JupyterLab with an AI centric approach.
- notebooks
- notebook-jupyter
- jupyterlab
- jupyterlab-extensions
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
- analytics
- bigquery
- data-modeling
- data-pipelines
Python Streaming DataFrames for Kafka
MLBox is a powerful Automated Machine Learning python library.
- machine-learning
- auto-ml
- kaggle
- deep-learning
visual data prep powered by python
- data
- data-pipelines
- etl
- structured-data
Improve the readability of R code with the pipe
- r
- pipe
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
Easy pipelines for pandas DataFrames.
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.